{"components":[{"slug":"github","name":"GitHub","summary":"Repo host whose stars, commits, and issues feed Leyline GitHub health — a Score factor, not the whole reputation story.","kind":"app","homepage":"https://github.com","docsUrl":"https://docs.github.com","publisher":"GitHub","license":"proprietary","hasMcp":true,"hasApi":true,"costRange":"freemium","composabilityRationale":"API, MCP, and git protocol are universal glue. 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Can fill the same function slot."},{"from":"github","to":"model-context-protocol","kind":"fills-same-slot-as","note":"Shared functions auth, connect. Can fill the same function slot."},{"from":"github","to":"cursor","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-10-16T00:13:16.158Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-10-16T00:13:16.158Z"},{"key":"human_note_count","value":1,"source":"component-record","method":"stored-notes","observedAt":"2026-10-16T00:13:16.158Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"llamaindex","name":"LlamaIndex","summary":"Data framework for retrieval and agents. 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Can fill the same function slot."},{"from":"llamaindex","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions embed, memory, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"memini","kind":"fills-same-slot-as","note":"Shared functions compose, embed, memory, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions index, ingest, retrieve. Can fill the same function slot."},{"from":"llamaindex","to":"telemetry-dev","kind":"fills-same-slot-as","note":"Shared functions ingest, retrieve. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-13T08:56:02.844Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-09-13T08:56:02.844Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"exa","name":"Exa","summary":"Neural web search API aimed at agents. Search slice with citations, distinct from crawl-the-page tools.","kind":"app","homepage":"https://exa.ai","docsUrl":"https://docs.exa.ai","publisher":"Exa","license":"proprietary","hasMcp":true,"hasApi":true,"costRange":"usage","composabilityRationale":"Search API/MCP is a clean slice. 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Search slice with citations, distinct from crawl-the-page tools.","kind":"app","publisher":"Exa","homepage":"https://exa.ai","docsUrl":"https://docs.exa.ai","license":"proprietary","costRange":"usage","functions":["search","retrieve","extract","connect","crawl","tool-call"],"slices":[{"functionId":"search","label":"Neural search","note":"Agent-ready hits","cost":"usage"},{"functionId":"retrieve","label":"Retrieve","note":"Neural web search API aimed at agents. Search slice with citations, distinct from crawl-the-page tools.","cost":"usage"},{"functionId":"extract","label":"Extract","note":"Neural web search API aimed at agents. Search slice with citations, distinct from crawl-the-page tools.","cost":"usage"},{"functionId":"connect","label":"Connect","note":"Neural web search API aimed at agents. Search slice with citations, distinct from crawl-the-page tools.","cost":"usage"},{"functionId":"crawl","label":"Crawl","note":"Neural web search API aimed at agents. 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Can fill the same function slot."},{"from":"exa","to":"vuda-visual-ui-debug-agent","kind":"fills-same-slot-as","note":"Shared functions connect, crawl, extract, retrieve, search. Can fill the same function slot."},{"from":"exa","to":"tinyfish","kind":"alternative-to","note":"Shared functions connect, crawl, extract, search. Same kind and overlapping capability."},{"from":"exa","to":"litescrape","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."},{"from":"exa","to":"search1api","kind":"alternative-to","note":"Shared functions crawl, extract, search. Same kind and overlapping capability."},{"from":"exa","to":"dataforseo","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-13T08:56:02.856Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-09-13T08:56:02.856Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"build-software-better-together","name":"Build software better, together","summary":"## Here are 48 public repositories matching this topic...","publisher":"github.com","homepage":"https://github.com/topics/company-brain","kind":"mcp","hasApi":true,"hasMcp":true,"costRange":"free","costNotes":"Cost range free taken from intake evidence.","functions":["code","index","ingest","connect","memory","retrieve","route","tool-call"],"slices":[{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"index","label":"index","note":"Inferred from executor","cost":"Unknown"},{"functionId":"ingest","label":"ingest","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"memory","label":"memory","note":"Inferred from executor","cost":"Unknown"},{"functionId":"retrieve","label":"retrieve","note":"Inferred from executor","cost":"Unknown"},{"functionId":"route","label":"route","note":"Inferred from executor","cost":"Unknown"},{"functionId":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Heuristic from executor evidence. Grok pass was unavailable or incomplete. No usage metrics were observed.","signals":[],"functionProbabilities":[{"functionId":"code","value":0.92,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"index","value":0.8,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"ingest","value":0.8,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"connect","value":0.72,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"memory","value":0.72,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"retrieve","value":0.72,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"route","value":0.72,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"},{"functionId":"tool-call","value":0.72,"source":"https://github.com/topics/company-brain","method":"lexical","observedAt":"2026-10-16T00:14:24.433Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://github.com/topics/company-brain","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://github.com/topics/company-brain","method":"fallback"},{"key":"cost","status":"unverified","asserted":"free","evidenceSource":"https://github.com/topics/company-brain","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://github.com/topics/company-brain","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-16T00:14:25.325Z","updatedAt":"2026-10-16T00:14:25.325Z","sources":[{"kind":"web","label":"executor","url":"https://github.com/topics/company-brain","excerpt":"#\n\n# company-brain\n\nStar\n\n## Here are 48 public repositories matching this topic...\n\n### inkeep / open-knowledge\n\nStar\n 4.6k\n\nBeautiful, AI-native markdown IDE and LLM wiki\n\n* Updated\n  Oct 16, 2026\n* TypeScript\n\n### baryhuang / claude-code","at":"2026-10-16T00:14:25.325Z"}],"recordId":"cmp_build-software-better-together","claims":{"name":"Build software better, together","summary":"## Here are 48 public repositories matching this topic...","kind":"mcp","publisher":"github.com","homepage":"https://github.com/topics/company-brain","costRange":"free","costNotes":"Cost range free taken from intake evidence.","functions":["code","index","ingest","connect","memory","retrieve","route","tool-call"],"slices":[{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"index","label":"index","note":"Inferred from executor","cost":"Unknown"},{"functionId":"ingest","label":"ingest","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"memory","label":"memory","note":"Inferred from executor","cost":"Unknown"},{"functionId":"retrieve","label":"retrieve","note":"Inferred from executor","cost":"Unknown"},{"functionId":"route","label":"route","note":"Inferred from executor","cost":"Unknown"},{"functionId":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Heuristic from executor evidence. Grok pass was unavailable or incomplete. No usage metrics were observed."},"relations":[{"from":"build-software-better-together","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions connect, index, ingest, retrieve, tool-call. Can fill the same function slot."},{"from":"build-software-better-together","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions code, connect, index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"build-software-better-together","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory, retrieve. Can fill the same function slot."},{"from":"build-software-better-together","to":"cursor","kind":"fills-same-slot-as","note":"Shared functions code, connect, retrieve, tool-call. Can fill the same function slot."},{"from":"build-software-better-together","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"build-software-better-together","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory. Can fill the same function slot."},{"from":"build-software-better-together","to":"lore","kind":"fills-same-slot-as","note":"Shared functions connect, memory, retrieve, tool-call. Can fill the same function slot."},{"from":"build-software-better-together","to":"local-office","kind":"fills-same-slot-as","note":"Shared functions ingest, memory, retrieve. Can fill the same function slot."}],"explain":{"score":13,"formula":"100 × sum(weight × value) over observed factors only. 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A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"},{"functionId":"retrieve","label":"Retrieve","note":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"}],"tweets":[{"url":"https://x.com/cursor_ai/status/2085464617694777762","author":"x.com","text":"Cursor now supports Agent Plugins, an open standard for bundling skills and MCP servers for use across agents."},{"url":"https://x.com/cursor_ai/status/2084317547608911986","author":"x.com","text":"Cursor Cloud agents are now 20-30% more token efficient, and 80% more efficient on runs with computer use. We've improved how they handle MCPs, skills, and ..."},{"url":"https://x.com/devagrawal09/article/2089089101010239926","author":"x.com","text":"Cursor's agent could migrate Solid to React because that direction asks for nothing. The direction that asks for something is the one that needs a codemod, not ..."}],"sources":[{"kind":"web","label":"Cursor","url":"https://cursor.com","at":"2026-09-12T00:00:00Z"}],"origin":"seed","sector":"dev-harness","notes":[],"score":12,"explain":{"score":12,"formula":"100 × sum(weight × value) over observed factors only. 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A day-one Leyline install target: scour skill via MCP or rule file.","kind":"runtime","publisher":"Anysphere","homepage":"https://cursor.com","license":"proprietary","costRange":"seat","functions":["code","reason","tool-call","connect","retrieve"],"slices":[{"functionId":"code","label":"Inline agent","note":"Edit in the repo","cost":"seat"},{"functionId":"connect","label":"MCP hosts","note":"Attach Leyline or other servers","cost":"included on seat"},{"functionId":"reason","label":"Reason","note":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"},{"functionId":"tool-call","label":"Tool-call","note":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"},{"functionId":"retrieve","label":"Retrieve","note":"Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.","cost":"seat"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"MCP and rules files make catalogue skills installable. Closed editor means the slice is 'harness', not 'library'."},"interfaces":[{"kind":"mcp"}],"relations":[{"from":"cursor","to":"openai-codex","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"cursor","to":"claude-code","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"cursor","to":"grok-xai","kind":"alternative-to","note":"Shared functions code, connect, reason, tool-call. Same kind and overlapping capability."},{"from":"cursor","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions code, connect, retrieve, tool-call. Can fill the same function slot."},{"from":"cursor","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, retrieve. Can fill the same function slot."},{"from":"cursor","to":"executor","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"cursor","to":"zillow-data-apis","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve. Can fill the same function slot."},{"from":"cursor","to":"exa","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve, tool-call. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-13T08:56:02.860Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"pageindex","name":"PageIndex","summary":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","kind":"app","homepage":"https://pageindex.ai","repoUrl":"https://github.com/VectifyAI/PageIndex","docsUrl":"https://docs.pageindex.ai","publisher":"","license":"MIT","hasMcp":true,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["index","reason","embed","memory","retrieve"],"functionProbabilities":[{"functionId":"index","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md","method":"lexical","observedAt":"2026-09-29T00:00:00.000Z"},{"functionId":"reason","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md","method":"lexical","observedAt":"2026-09-29T00:00:00.000Z"},{"functionId":"embed","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md","method":"lexical","observedAt":"2026-09-29T00:00:00.000Z"},{"functionId":"memory","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md","method":"lexical","observedAt":"2026-09-29T00:00:00.000Z"},{"functionId":"retrieve","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md","method":"lexical","observedAt":"2026-09-29T00:00:00.000Z"}],"slices":[{"functionId":"index","label":"Index","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"reason","label":"Reason","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"embed","label":"Embed","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"memory","label":"Memory","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md\nPageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","at":"2026-09-29T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Cloud — PAGEINDEX_API_KEY; managed indexing/OCR/storage; chat still uses your model; MCP + folders/metadata (Cloud-only features).","at":"2026-09-29T00:00:00.000Z"}],"interfaces":[{"kind":"mcp"}],"origin":"seed","notes":[],"createdAt":"2026-09-29T00:00:00.000Z","updatedAt":"2026-09-29T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_pageindex","claims":{"name":"PageIndex","summary":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","kind":"app","publisher":"","homepage":"https://pageindex.ai","repoUrl":"https://github.com/VectifyAI/PageIndex","docsUrl":"https://docs.pageindex.ai","license":"MIT","costRange":"unknown","functions":["index","reason","embed","memory","retrieve"],"slices":[{"functionId":"index","label":"Index","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"reason","label":"Reason","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"embed","label":"Embed","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"memory","label":"Memory","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.","cost":"unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":""},"relations":[{"from":"pageindex","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions embed, index, memory, retrieve. Can fill the same function slot."},{"from":"pageindex","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions embed, memory, retrieve. Can fill the same function slot."},{"from":"pageindex","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions embed, index, memory, retrieve. Can fill the same function slot."},{"from":"pageindex","to":"alibaba-model-studio","kind":"fills-same-slot-as","note":"Shared functions embed, reason. Can fill the same function slot."},{"from":"pageindex","to":"octen","kind":"fills-same-slot-as","note":"Shared functions embed, retrieve. Can fill the same function slot."},{"from":"pageindex","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions index, memory, retrieve. Can fill the same function slot."},{"from":"pageindex","to":"turbopuffer","kind":"fills-same-slot-as","note":"Shared functions embed, memory. Can fill the same function slot."},{"from":"pageindex","to":"local-office","kind":"fills-same-slot-as","note":"Shared functions memory, retrieve. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-29T00:00:00.000Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-09-29T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":12,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.3,"contribution":0.054,"why":"A licence is declared. 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Cost is unknown. 1 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.22849520230941842,"contribution":0.031989328323318585,"why":"2 sources cover 1 evidence types. The latest dated evidence is 2026-09-29. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-29-vectifyai-pageindex.md\nPageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. 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Search, retrieve, and index compose well with other Leyline components; ingest is operationally gated and notify is a newsletter side-channel, so it is a useful catalog but not a runtime building block.","functions":["search","retrieve","index","ingest","notify","connect","tool-call"],"slices":[{"functionId":"search","label":"Explore MCP servers and clients","note":"Public catalog of 602 MCP clients and related MCP servers, use cases, and tools.","cost":"free"},{"functionId":"retrieve","label":"Official MCP resource links","note":"Surfaces docs, contribution, and official registry links for the Model Context Protocol.","cost":"free"},{"functionId":"index","label":"MCP listing catalog","note":"Maintains a browsable index of MCP ecosystem listings.","cost":"free"},{"functionId":"ingest","label":"Server listing submissions","note":"Ingestion and listing-management pipeline for new MCP server submissions; currently paused.","cost":"free"},{"functionId":"notify","label":"Agentic Loop newsletter","note":"Email subscription with confirmation and recaptcha-gated signup to stay current on MCP.","cost":"free"},{"functionId":"connect","label":"Connect","note":"Directory of MCP servers, clients, use cases, and tools plus an MCP newsletter, with listing ingestion currently paused for process rework.","cost":"free"},{"functionId":"tool-call","label":"Tool-call","note":"Directory of MCP servers, clients, use cases, and tools plus an MCP newsletter, with listing ingestion currently paused for process rework.","cost":"free"}],"tweets":[],"sources":[{"kind":"web","label":"web","url":"https://www.pulsemcp.com","excerpt":"An open source framework for building MCP agents - complete with reasoning, system prompts, tool orchestration, and rich MCP-UI support. September 23, 2025.","at":"2026-09-11T16:39:53.703Z"},{"kind":"crawl","label":"TinyFish fetch","url":"https://www.pulsemcp.com","excerpt":"Quick heads up! New server submissions and listing changes are paused until mid-August while we rework our ingestion and listing management processes. Thanks for your patience!\nMore details\n\n# Explore the Model Context Protocol\n\nEverything ","at":"2026-09-11T16:39:53.704Z"}],"origin":"intake","notes":[{"authorKind":"agent","body":"Intake via web.","at":"2026-09-11T16:39:53.704Z"}],"costNotes":"Public website and newsletter; no paid product or API is evidenced on the page.","score":9,"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"value":0.0867528411160754,"contribution":0.012145397756250557,"why":"1 stored human notes (component-record).","sources":[],"evidence":"observed"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"crawl","label":"TinyFish fetch","url":"https://www.pulsemcp.com","excerpt":"Quick heads up! New server submissions and listing changes are paused until mid-August while we rework our ingestion and listing management processes. Thanks for your patience!\nMore details\n\n# Explore the Model Context Protocol\n\nEverything ","at":"2026-09-11T16:39:53.704Z"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"No MCP surface is declared. No API is declared. Cost is free. 1 of 3 checklist fields are complete.","sources":[{"kind":"crawl","label":"TinyFish fetch","url":"https://www.pulsemcp.com","excerpt":"Quick heads up! New server submissions and listing changes are paused until mid-August while we rework our ingestion and listing management processes. Thanks for your patience!\nMore details\n\n# Explore the Model Context Protocol\n\nEverything ","at":"2026-09-11T16:39:53.704Z"}],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.3284952023094184,"contribution":0.04598932832331858,"why":"2 sources cover 2 evidence types. The latest dated evidence is 2026-09-11. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"web","url":"https://www.pulsemcp.com","excerpt":"An open source framework for building MCP agents - complete with reasoning, system prompts, tool orchestration, and rich MCP-UI support. September 23, 2025.","at":"2026-09-11T16:39:53.703Z"},{"kind":"crawl","label":"TinyFish fetch","url":"https://www.pulsemcp.com","excerpt":"Quick heads up! New server submissions and listing changes are paused until mid-August while we rework our ingestion and listing management processes. Thanks for your patience!\nMore details\n\n# Explore the Model Context Protocol\n\nEverything ","at":"2026-09-11T16:39:53.704Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"createdAt":"2026-09-11T16:39:53.704Z","updatedAt":"2026-09-13T08:56:02.864Z","recordId":"cmp_pulsemcp","claims":{"name":"PulseMCP","summary":"Directory of MCP servers, clients, use cases, and tools plus an MCP newsletter, with listing ingestion currently paused for process rework.","kind":"resource","publisher":"Tadas Antanavicius, Mike Coughlin","homepage":"https://www.pulsemcp.com","costRange":"free","costNotes":"Public website and newsletter; no paid product or API is evidenced on the page.","functions":["search","retrieve","index","ingest","notify","connect","tool-call"],"slices":[{"functionId":"search","label":"Explore MCP servers and clients","note":"Public catalog of 602 MCP clients and related MCP servers, use cases, and tools.","cost":"free"},{"functionId":"retrieve","label":"Official MCP resource links","note":"Surfaces docs, contribution, and official registry links for the Model Context Protocol.","cost":"free"},{"functionId":"index","label":"MCP listing catalog","note":"Maintains a browsable index of MCP ecosystem listings.","cost":"free"},{"functionId":"ingest","label":"Server listing submissions","note":"Ingestion and listing-management pipeline for new MCP server submissions; currently paused.","cost":"free"},{"functionId":"notify","label":"Agentic Loop newsletter","note":"Email subscription with confirmation and recaptcha-gated signup to stay current on MCP.","cost":"free"},{"functionId":"connect","label":"Connect","note":"Directory of MCP servers, clients, use cases, and tools plus an MCP newsletter, with listing ingestion currently paused for process rework.","cost":"free"},{"functionId":"tool-call","label":"Tool-call","note":"Directory of MCP servers, clients, use cases, and tools plus an MCP newsletter, with listing ingestion currently paused for process rework.","cost":"free"}],"interfaces":[],"composabilityRationale":"PulseMCP is a discovery and listing layer over the MCP ecosystem rather than an MCP server or API itself. Search, retrieve, and index compose well with other Leyline components; ingest is operationally gated and notify is a newsletter side-channel, so it is a useful catalog but not a runtime building block."},"interfaces":[],"relations":[{"from":"pulsemcp","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions connect, index, ingest, retrieve, tool-call. Can fill the same function slot."},{"from":"pulsemcp","to":"exa","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve, search, tool-call. Can fill the same function slot."},{"from":"pulsemcp","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions connect, index, ingest, retrieve, search. Can fill the same function slot."},{"from":"pulsemcp","to":"lore","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve, search, tool-call. Can fill the same function slot."},{"from":"pulsemcp","to":"vuda-visual-ui-debug-agent","kind":"fills-same-slot-as","note":"Shared functions connect, index, retrieve, search. Can fill the same function slot."},{"from":"pulsemcp","to":"cursor","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve, tool-call. Can fill the same function slot."},{"from":"pulsemcp","to":"firecrawl","kind":"fills-same-slot-as","note":"Shared functions connect, ingest, search. Can fill the same function slot."},{"from":"pulsemcp","to":"monid","kind":"fills-same-slot-as","note":"Shared functions connect, search, tool-call. Can fill the same function slot."}],"signals":[{"key":"human_note_count","value":1,"source":"component-record","method":"stored-notes","observedAt":"2026-09-13T08:56:02.864Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"cognee","name":"cognee","summary":"Open-source memory system for agents and teams. It connects company sources such as Slack, GitHub, and Linear so agents can recall shared context through one memory API, an SDK, or an MCP server, with an optional Cognee Cloud for managed scale.","publisher":"cognee","homepage":"https://www.cognee.ai","kind":"runtime","hasApi":true,"hasMcp":true,"costRange":"unknown","costNotes":"Pricing is not stated. The page says to start with the open-source package (pip install cognee) and move to Cognee Cloud for managed scale. No plans, prices, or free-tier limits are given.","functions":["memory","code","connect","embed","retrieve"],"slices":[{"functionId":"memory","label":"Agent memory","note":"Memory for agents, teams, and people so agents can recall what a company knows and what they just did.","cost":"Unknown"},{"functionId":"connect","label":"Source and agent connections","note":"Connect Slack, GitHub, and Linear, with first-party integrations for Claude Code, Cursor, LangGraph, OpenClaw, and more.","cost":"Unknown"},{"functionId":"retrieve","label":"Memory read","note":"Agents recall stored context through the memory API or MCP read access.","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"embed","label":"embed","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"The page states one memory API and an SDK, plus an MCP server so compatible agents can read and write Cognee memory without custom glue. It names first-party integrations for Claude Code, Cursor, LangGraph, and OpenClaw, and also lists Codex, Skill, and Hermes. Slack, GitHub, and Linear are named as sources to connect. Auth, rate limits, and API schemas are not specified on this page.","signals":[],"functionProbabilities":[{"functionId":"memory","value":0.92,"source":"https://www.cognee.ai","method":"lexical","observedAt":"2026-10-15T16:29:14.700Z"},{"functionId":"code","value":0.8,"source":"https://www.cognee.ai","method":"lexical","observedAt":"2026-10-15T16:29:14.700Z"},{"functionId":"connect","value":0.72,"source":"https://www.cognee.ai","method":"lexical","observedAt":"2026-10-15T16:29:14.700Z"},{"functionId":"embed","value":0.72,"source":"https://www.cognee.ai","method":"lexical","observedAt":"2026-10-15T16:29:14.700Z"},{"functionId":"retrieve","value":0.72,"source":"https://www.cognee.ai","method":"lexical","observedAt":"2026-10-15T16:29:14.700Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://www.cognee.ai","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://www.cognee.ai","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://www.cognee.ai","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://www.cognee.ai","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-15T16:29:15.555Z","updatedAt":"2026-10-15T16:29:15.555Z","sources":[{"kind":"web","label":"executor","url":"https://www.cognee.ai","excerpt":"# Memory for Agents, Teams, and People\n\nConnect Slack, GitHub, Linear to Cognee and help agents recall what your company knows.\n\nStart building\n\nWorks withClaude CodeCodexSkillMCPOpenClawHermes\n\nWorks with\n\nClaude Code\n\nCodex\n\nSkill\n\nMCP\n\nO","at":"2026-10-15T16:29:15.555Z"}],"recordId":"cmp_cognee","claims":{"name":"cognee","summary":"Open-source memory system for agents and teams. It connects company sources such as Slack, GitHub, and Linear so agents can recall shared context through one memory API, an SDK, or an MCP server, with an optional Cognee Cloud for managed scale.","kind":"runtime","publisher":"cognee","homepage":"https://www.cognee.ai","costRange":"unknown","costNotes":"Pricing is not stated. The page says to start with the open-source package (pip install cognee) and move to Cognee Cloud for managed scale. No plans, prices, or free-tier limits are given.","functions":["memory","code","connect","embed","retrieve"],"slices":[{"functionId":"memory","label":"Agent memory","note":"Memory for agents, teams, and people so agents can recall what a company knows and what they just did.","cost":"Unknown"},{"functionId":"connect","label":"Source and agent connections","note":"Connect Slack, GitHub, and Linear, with first-party integrations for Claude Code, Cursor, LangGraph, OpenClaw, and more.","cost":"Unknown"},{"functionId":"retrieve","label":"Memory read","note":"Agents recall stored context through the memory API or MCP read access.","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"embed","label":"embed","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"The page states one memory API and an SDK, plus an MCP server so compatible agents can read and write Cognee memory without custom glue. It names first-party integrations for Claude Code, Cursor, LangGraph, and OpenClaw, and also lists Codex, Skill, and Hermes. Slack, GitHub, and Linear are named as sources to connect. Auth, rate limits, and API schemas are not specified on this page."},"relations":[{"from":"cognee","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory. Can fill the same function slot."},{"from":"cognee","to":"memini","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, memory, retrieve. Can fill the same function slot."},{"from":"cognee","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, memory, retrieve. Can fill the same function slot."},{"from":"cognee","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory, retrieve. Can fill the same function slot."},{"from":"cognee","to":"pen-dev","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed. Can fill the same function slot."},{"from":"cognee","to":"cursor","kind":"fills-same-slot-as","note":"Shared functions code, connect, retrieve. Can fill the same function slot."},{"from":"cognee","to":"pageindex","kind":"fills-same-slot-as","note":"Shared functions embed, memory, retrieve. Can fill the same function slot."},{"from":"cognee","to":"zillow-data-apis","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve. Can fill the same function slot."}],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-10-15. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://www.cognee.ai","excerpt":"# Memory for Agents, Teams, and People\n\nConnect Slack, GitHub, Linear to Cognee and help agents recall what your company knows.\n\nStart building\n\nWorks withClaude CodeCodexSkillMCPOpenClawHermes\n\nWorks with\n\nClaude Code\n\nCodex\n\nSkill\n\nMCP\n\nO","at":"2026-10-15T16:29:15.555Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9,"tags":["agents"]},{"slug":"crunchbase","name":"Crunchbase","publisher":"Crunchbase","kind":"app","summary":"Read-only company and funding-data API for approved, licensed developers.","homepage":"https://www.crunchbase.com/","docsUrl":"https://data.crunchbase.com/docs/api-essentials","functions":["search","enrich","retrieve"],"costRange":"unknown","recordId":"cmp_crunchbase","hasMcp":true,"hasApi":true,"costNotes":"Provisioned API access and licensed fields are required; API access is arranged with the vendor.","composabilityRationale":"Use its declared http, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"http","specUrl":"https://data.crunchbase.com/docs/api-essentials"},{"kind":"mcp","specUrl":"https://data.crunchbase.com/docs/api-essentials"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"Crunchbase official documentation","url":"https://data.crunchbase.com/docs/api-essentials","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"search","label":"Search","note":"Provisioned API access and licensed fields are required; API access is arranged with the vendor.","cost":"unknown"},{"functionId":"enrich","label":"Enrich","note":"Provisioned API access and licensed fields are required; API access is arranged with the vendor.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Provisioned API access and licensed fields are required; API access is arranged with the vendor.","cost":"unknown"}],"claims":{"name":"Crunchbase","summary":"Read-only company and funding-data API for approved, licensed developers.","kind":"app","publisher":"Crunchbase","homepage":"https://www.crunchbase.com/","docsUrl":"https://data.crunchbase.com/docs/api-essentials","costRange":"unknown","costNotes":"Provisioned API access and licensed fields are required; API access is arranged with the vendor.","functions":["search","enrich","retrieve"],"slices":[{"functionId":"search","label":"Search","note":"Provisioned API access and licensed fields are required; API access is arranged with the vendor.","cost":"unknown"},{"functionId":"enrich","label":"Enrich","note":"Provisioned API access and licensed fields are required; API access is arranged with the vendor.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Provisioned API access and licensed fields are required; API access is arranged with the vendor.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://data.crunchbase.com/docs/api-essentials"},{"kind":"mcp","specUrl":"https://data.crunchbase.com/docs/api-essentials"}],"composabilityRationale":"Use its declared http, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[{"from":"crunchbase","to":"tendata","kind":"alternative-to","note":"Shared functions enrich, retrieve, search. Same kind and overlapping capability."},{"from":"crunchbase","to":"contactout","kind":"alternative-to","note":"Shared functions enrich, search. Same kind and overlapping capability."},{"from":"crunchbase","to":"keenable","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"crunchbase","to":"akta-pro","kind":"alternative-to","note":"Shared functions enrich, search. Same kind and overlapping capability."},{"from":"crunchbase","to":"apollo","kind":"alternative-to","note":"Shared functions enrich, search. Same kind and overlapping capability."},{"from":"crunchbase","to":"hunter","kind":"alternative-to","note":"Shared functions enrich, search. Same kind and overlapping capability."},{"from":"crunchbase","to":"litescrape","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"crunchbase","to":"ploid","kind":"alternative-to","note":"Shared functions enrich, search. Same kind and overlapping capability."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"docs","label":"Crunchbase official documentation","url":"https://data.crunchbase.com/docs/api-essentials","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[{"kind":"docs","label":"Crunchbase official documentation","url":"https://data.crunchbase.com/docs/api-essentials","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is undated. Freshness is omitted unless observed as a signal.","sources":[{"kind":"docs","label":"Crunchbase official documentation","url":"https://data.crunchbase.com/docs/api-essentials","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9},{"slug":"expand-fetch","name":"Expand Fetch","publisher":"Expand","kind":"app","summary":"Fetches rendered web pages as source-linked Markdown and structured page state for agents.","homepage":"https://expand.ai/","docsUrl":"https://expand.ai/docs","functions":["retrieve","extract"],"costRange":"unknown","recordId":"cmp_expand-fetch","hasMcp":true,"hasApi":true,"costNotes":"No extraction-accuracy or performance result was measured. Check the chosen Fetch contract and current usage limits.","composabilityRationale":"Use its declared http, cli, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"http","specUrl":"https://expand.ai/docs"},{"kind":"cli","specUrl":"https://expand.ai/docs"},{"kind":"mcp","specUrl":"https://expand.ai/docs"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"Expand Fetch official documentation","url":"https://expand.ai/docs","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"retrieve","label":"Retrieve","note":"No extraction-accuracy or performance result was measured. Check the chosen Fetch contract and current usage limits.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"No extraction-accuracy or performance result was measured. Check the chosen Fetch contract and current usage limits.","cost":"unknown"}],"claims":{"name":"Expand Fetch","summary":"Fetches rendered web pages as source-linked Markdown and structured page state for agents.","kind":"app","publisher":"Expand","homepage":"https://expand.ai/","docsUrl":"https://expand.ai/docs","costRange":"unknown","costNotes":"No extraction-accuracy or performance result was measured. Check the chosen Fetch contract and current usage limits.","functions":["retrieve","extract"],"slices":[{"functionId":"retrieve","label":"Retrieve","note":"No extraction-accuracy or performance result was measured. Check the chosen Fetch contract and current usage limits.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"No extraction-accuracy or performance result was measured. Check the chosen Fetch contract and current usage limits.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://expand.ai/docs"},{"kind":"cli","specUrl":"https://expand.ai/docs"},{"kind":"mcp","specUrl":"https://expand.ai/docs"}],"composabilityRationale":"Use its declared http, cli, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[{"from":"expand-fetch","to":"litescrape","kind":"alternative-to","note":"Shared functions extract, retrieve. Same kind and overlapping capability."},{"from":"expand-fetch","to":"dataforseo","kind":"alternative-to","note":"Shared functions extract, retrieve. Same kind and overlapping capability."},{"from":"expand-fetch","to":"tikhub","kind":"alternative-to","note":"Shared functions extract, retrieve. Same kind and overlapping capability."},{"from":"expand-fetch","to":"exa","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve. Can fill the same function slot."},{"from":"expand-fetch","to":"lore","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve. Can fill the same function slot."},{"from":"expand-fetch","to":"vuda-visual-ui-debug-agent","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve. Can fill the same function slot."},{"from":"expand-fetch","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve. Can fill the same function slot."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"docs","label":"Expand Fetch official documentation","url":"https://expand.ai/docs","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[{"kind":"docs","label":"Expand Fetch official documentation","url":"https://expand.ai/docs","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is undated. Freshness is omitted unless observed as a signal.","sources":[{"kind":"docs","label":"Expand Fetch official documentation","url":"https://expand.ai/docs","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9},{"slug":"keenable","name":"Keenable","publisher":"Keenable","kind":"app","summary":"Search and fetch endpoints exposed directly and through a CLI and MCP server.","homepage":"https://keenable.ai/","docsUrl":"https://docs.keenable.ai/api-reference","functions":["search","retrieve"],"costRange":"unknown","recordId":"cmp_keenable","hasMcp":true,"hasApi":true,"costNotes":"Keyed, public and payment-backed paths have different attribution and charging rules; choose explicitly.","composabilityRationale":"Use its declared http, cli, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"http","specUrl":"https://docs.keenable.ai/api-reference"},{"kind":"cli","specUrl":"https://docs.keenable.ai/api-reference"},{"kind":"mcp","specUrl":"https://docs.keenable.ai/api-reference"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"Keenable official documentation","url":"https://docs.keenable.ai/api-reference","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"search","label":"Search","note":"Keyed, public and payment-backed paths have different attribution and charging rules; choose explicitly.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Keyed, public and payment-backed paths have different attribution and charging rules; choose explicitly.","cost":"unknown"}],"claims":{"name":"Keenable","summary":"Search and fetch endpoints exposed directly and through a CLI and MCP server.","kind":"app","publisher":"Keenable","homepage":"https://keenable.ai/","docsUrl":"https://docs.keenable.ai/api-reference","costRange":"unknown","costNotes":"Keyed, public and payment-backed paths have different attribution and charging rules; choose explicitly.","functions":["search","retrieve"],"slices":[{"functionId":"search","label":"Search","note":"Keyed, public and payment-backed paths have different attribution and charging rules; choose explicitly.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Keyed, public and payment-backed paths have different attribution and charging rules; choose explicitly.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://docs.keenable.ai/api-reference"},{"kind":"cli","specUrl":"https://docs.keenable.ai/api-reference"},{"kind":"mcp","specUrl":"https://docs.keenable.ai/api-reference"}],"composabilityRationale":"Use its declared http, cli, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[{"from":"keenable","to":"crunchbase","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"keenable","to":"litescrape","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"keenable","to":"dataforseo","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"keenable","to":"octen","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"keenable","to":"tendata","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"keenable","to":"tikhub","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"keenable","to":"exa","kind":"fills-same-slot-as","note":"Shared functions retrieve, search. Can fill the same function slot."},{"from":"keenable","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions retrieve, search. Can fill the same function slot."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"docs","label":"Keenable official documentation","url":"https://docs.keenable.ai/api-reference","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[{"kind":"docs","label":"Keenable official documentation","url":"https://docs.keenable.ai/api-reference","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is undated. Freshness is omitted unless observed as a signal.","sources":[{"kind":"docs","label":"Keenable official documentation","url":"https://docs.keenable.ai/api-reference","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9},{"slug":"litescrape","name":"Litescrape","publisher":"Litescrape","kind":"app","summary":"Search and data-extraction APIs for supported web services, with an MCP integration.","homepage":"https://litescrape.com/","docsUrl":"https://litescrape.com/docs","functions":["search","extract","retrieve"],"costRange":"unknown","recordId":"cmp_litescrape","hasMcp":true,"hasApi":true,"costNotes":"Check the specific endpoint contract, availability, concurrency and price before use.","composabilityRationale":"Use its declared http, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"http","specUrl":"https://litescrape.com/docs"},{"kind":"mcp","specUrl":"https://litescrape.com/docs"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"Litescrape official documentation","url":"https://litescrape.com/docs","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"search","label":"Search","note":"Check the specific endpoint contract, availability, concurrency and price before use.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"Check the specific endpoint contract, availability, concurrency and price before use.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Check the specific endpoint contract, availability, concurrency and price before use.","cost":"unknown"}],"claims":{"name":"Litescrape","summary":"Search and data-extraction APIs for supported web services, with an MCP integration.","kind":"app","publisher":"Litescrape","homepage":"https://litescrape.com/","docsUrl":"https://litescrape.com/docs","costRange":"unknown","costNotes":"Check the specific endpoint contract, availability, concurrency and price before use.","functions":["search","extract","retrieve"],"slices":[{"functionId":"search","label":"Search","note":"Check the specific endpoint contract, availability, concurrency and price before use.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"Check the specific endpoint contract, availability, concurrency and price before use.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Check the specific endpoint contract, availability, concurrency and price before use.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://litescrape.com/docs"},{"kind":"mcp","specUrl":"https://litescrape.com/docs"}],"composabilityRationale":"Use its declared http, mcp surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[{"from":"litescrape","to":"dataforseo","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."},{"from":"litescrape","to":"tikhub","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."},{"from":"litescrape","to":"expand-fetch","kind":"alternative-to","note":"Shared functions extract, retrieve. Same kind and overlapping capability."},{"from":"litescrape","to":"keenable","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"litescrape","to":"exa","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."},{"from":"litescrape","to":"cloro","kind":"alternative-to","note":"Shared functions extract, search. Same kind and overlapping capability."},{"from":"litescrape","to":"crunchbase","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"litescrape","to":"search1api","kind":"alternative-to","note":"Shared functions extract, search. Same kind and overlapping capability."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"docs","label":"Litescrape official documentation","url":"https://litescrape.com/docs","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[{"kind":"docs","label":"Litescrape official documentation","url":"https://litescrape.com/docs","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is undated. Freshness is omitted unless observed as a signal.","sources":[{"kind":"docs","label":"Litescrape official documentation","url":"https://litescrape.com/docs","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9},{"slug":"memini","name":"memini","summary":"Self-hosted persistent memory service for MCP-capable agents. 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The cost of those external services is not stated.","functions":["connect","code","compose","deploy","memory","policy","rank","search","store","embed","retrieve"],"slices":[{"functionId":"memory","label":"Tiered agent memory","note":"Shared remember and recall across working, episodic, semantic, and procedural tiers, with decay, TTLs, namespace isolation, and optional consolidation into durable facts.","cost":"Unknown"},{"functionId":"search","label":"Hybrid vector and keyword search","note":"Hybrid vector and keyword retrieval fused with Reciprocal Rank Fusion.","cost":"Unknown"},{"functionId":"rank","label":"Composite re-ranking","note":"Hybrid results are re-ranked by relevance, access recency, and importance rather than similarity alone.","cost":"Unknown"},{"functionId":"policy","label":"Client connect policy","note":"The MCP server sends a standing policy to every client on connect.","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"deploy","label":"deploy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"store","label":"Store","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"},{"functionId":"embed","label":"Embed","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"The page states REST plus MCP over stdio and Streamable HTTP, sharing one service layer, with an embedded web UI. Most listed agent integrations read MEMINI_BASE_URL and MEMINI_API_KEY; some clients use their own config or a fixed local MCP URL. Authentication can be enabled with an API key. Embeddings are not built in and must be supplied by an external endpoint whose dimensions match the store. An LLM is opt-in for background deduplication, contradiction handling, and distillation; without one, marker heuristics run the lifecycle. Pricing, quotas, and hosted multi-tenant terms are not stated.","signals":[],"functionProbabilities":[{"functionId":"connect","value":0.92,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"code","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"compose","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"deploy","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"memory","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"policy","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"rank","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"search","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"store","value":0.8,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"auth","value":0.72,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"embed","value":0.72,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"retrieve","value":0.72,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"},{"functionId":"tool-call","value":0.72,"source":"https://github.com/eleboucher/memini","method":"lexical","observedAt":"2026-10-16T06:17:46.735Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://github.com/eleboucher/memini","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://github.com/eleboucher/memini","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://github.com/eleboucher/memini","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://github.com/eleboucher/memini","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-16T06:17:47.632Z","updatedAt":"2026-10-16T06:17:47.632Z","sources":[{"kind":"web","label":"executor","url":"https://github.com/eleboucher/memini","excerpt":"BranchesTags\n\n## Repository files navigation\n\n# memini\n\n> A shared, persistent memory service for AI agents.\n\n`memini` gives any MCP-capable agent (Claude Code, Cursor, Codex, opencode, Hermes, OpenClaw, Open WebUI) one place to `remember` ","at":"2026-10-16T06:17:47.632Z"}],"recordId":"cmp_memini","claims":{"name":"memini","summary":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","kind":"mcp","publisher":"eleboucher","homepage":"https://github.com/eleboucher/memini","costRange":"unknown","costNotes":"No price, plan, seat, or usage fee is stated. The repository is AGPL-3.0 and described as self-hosted software. An external OpenAI-compatible embeddings endpoint is required; an LLM is optional. The cost of those external services is not stated.","functions":["connect","code","compose","deploy","memory","policy","rank","search","store","embed","retrieve"],"slices":[{"functionId":"memory","label":"Tiered agent memory","note":"Shared remember and recall across working, episodic, semantic, and procedural tiers, with decay, TTLs, namespace isolation, and optional consolidation into durable facts.","cost":"Unknown"},{"functionId":"search","label":"Hybrid vector and keyword search","note":"Hybrid vector and keyword retrieval fused with Reciprocal Rank Fusion.","cost":"Unknown"},{"functionId":"rank","label":"Composite re-ranking","note":"Hybrid results are re-ranked by relevance, access recency, and importance rather than similarity alone.","cost":"Unknown"},{"functionId":"policy","label":"Client connect policy","note":"The MCP server sends a standing policy to every client on connect.","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"deploy","label":"deploy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"store","label":"Store","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"},{"functionId":"embed","label":"Embed","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"The page states REST plus MCP over stdio and Streamable HTTP, sharing one service layer, with an embedded web UI. Most listed agent integrations read MEMINI_BASE_URL and MEMINI_API_KEY; some clients use their own config or a fixed local MCP URL. Authentication can be enabled with an API key. Embeddings are not built in and must be supplied by an external endpoint whose dimensions match the store. An LLM is opt-in for background deduplication, contradiction handling, and distillation; without one, marker heuristics run the lifecycle. Pricing, quotas, and hosted multi-tenant terms are not stated."},"relations":[{"from":"memini","to":"self","kind":"alternative-to","note":"Shared functions code, compose, connect, deploy, embed, rank, search. Same kind and overlapping capability."},{"from":"memini","to":"local-faiss-mcp-server","kind":"alternative-to","note":"Shared functions code, connect, embed, memory, rank, retrieve, search, store. Same kind and overlapping capability."},{"from":"memini","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, memory, policy, search, store. Can fill the same function slot."},{"from":"memini","to":"casdoor","kind":"fills-same-slot-as","note":"Shared functions code, compose, connect, embed, policy, search. Can fill the same function slot."},{"from":"memini","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, memory, retrieve. Can fill the same function slot."},{"from":"memini","to":"turbopuffer","kind":"fills-same-slot-as","note":"Shared functions embed, memory, search, store. Can fill the same function slot."},{"from":"memini","to":"lore","kind":"fills-same-slot-as","note":"Shared functions connect, memory, retrieve, search, store. Can fill the same function slot."},{"from":"memini","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions compose, embed, memory, retrieve. Can fill the same function slot."}],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-10-16. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://github.com/eleboucher/memini","excerpt":"BranchesTags\n\n## Repository files navigation\n\n# memini\n\n> A shared, persistent memory service for AI agents.\n\n`memini` gives any MCP-capable agent (Claude Code, Cursor, Codex, opencode, Hermes, OpenClaw, Open WebUI) one place to `remember` ","at":"2026-10-16T06:17:47.632Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9,"tags":["agents"]},{"slug":"telemetry-dev","name":"telemetry.dev","summary":"Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","kind":"resource","homepage":"https://telemetry.dev/","repoUrl":"https://github.com/telemetry-dev/telemetry.dev","docsUrl":"https://docs.telemetry.dev/","publisher":"","hasMcp":false,"hasApi":true,"costRange":"unknown","composabilityRationale":"","functions":["ingest","observe","retrieve"],"functionProbabilities":[{"functionId":"ingest","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-08-24-telemetry-dev.md","method":"lexical","observedAt":"2026-08-24T00:00:00.000Z"},{"functionId":"observe","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-08-24-telemetry-dev.md","method":"lexical","observedAt":"2026-08-24T00:00:00.000Z"},{"functionId":"retrieve","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-08-24-telemetry-dev.md","method":"lexical","observedAt":"2026-08-24T00:00:00.000Z"}],"slices":[{"functionId":"ingest","label":"Ingest","note":"Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","cost":"unknown"},{"functionId":"observe","label":"Observe","note":"Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-24-telemetry-dev.md\nHosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","at":"2026-08-24T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Ingest via TypeScript or Python SDKs, or any OTLP exporter.","at":"2026-08-24T00:00:00.000Z"}],"interfaces":[{"kind":"sdk"}],"origin":"seed","notes":[],"createdAt":"2026-08-24T00:00:00.000Z","updatedAt":"2026-08-24T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_telemetry-dev","claims":{"name":"telemetry.dev","summary":"Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","kind":"resource","publisher":"","homepage":"https://telemetry.dev/","repoUrl":"https://github.com/telemetry-dev/telemetry.dev","docsUrl":"https://docs.telemetry.dev/","costRange":"unknown","functions":["ingest","observe","retrieve"],"slices":[{"functionId":"ingest","label":"Ingest","note":"Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","cost":"unknown"},{"functionId":"observe","label":"Observe","note":"Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","cost":"unknown"}],"interfaces":[{"kind":"sdk"}],"composabilityRationale":""},"relations":[{"from":"telemetry-dev","to":"local-office","kind":"fills-same-slot-as","note":"Shared functions ingest, retrieve. Can fill the same function slot."},{"from":"telemetry-dev","to":"github","kind":"fills-same-slot-as","note":"Shared functions observe, retrieve. Can fill the same function slot."},{"from":"telemetry-dev","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions ingest, retrieve. Can fill the same function slot."},{"from":"telemetry-dev","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions ingest, retrieve. Can fill the same function slot."},{"from":"telemetry-dev","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions ingest, retrieve. Can fill the same function slot."},{"from":"telemetry-dev","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions ingest, retrieve. Can fill the same function slot."}],"signals":[{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-08-24T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":9,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.15,"contribution":0.027,"why":"Documentation is available.","sources":[],"evidence":"observed"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-24-telemetry-dev.md\nHosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","at":"2026-08-24T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Ingest via TypeScript or Python SDKs, or any OTLP exporter.","at":"2026-08-24T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"No MCP surface is declared. An API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.22849520230941842,"contribution":0.031989328323318585,"why":"2 sources cover 1 evidence types. The latest dated evidence is 2026-08-24. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-24-telemetry-dev.md\nHosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.","at":"2026-08-24T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Ingest via TypeScript or Python SDKs, or any OTLP exporter.","at":"2026-08-24T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9},{"slug":"dataforseo","name":"DataForSEO","publisher":"DataForSEO","kind":"app","summary":"REST APIs for search-engine results, SEO datasets and related business data.","homepage":"https://dataforseo.com/","docsUrl":"https://docs.dataforseo.com/v3/","functions":["search","retrieve","extract"],"costRange":"unknown","recordId":"cmp_dataforseo","hasMcp":false,"hasApi":true,"costNotes":"Live and task-based endpoints have different request, delivery and charging contracts.","composabilityRationale":"Use its declared http, sdk surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"http","specUrl":"https://docs.dataforseo.com/v3/"},{"kind":"sdk","specUrl":"https://docs.dataforseo.com/v3/"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"DataForSEO official documentation","url":"https://docs.dataforseo.com/v3/","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"search","label":"Search","note":"Live and task-based endpoints have different request, delivery and charging contracts.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Live and task-based endpoints have different request, delivery and charging contracts.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"Live and task-based endpoints have different request, delivery and charging contracts.","cost":"unknown"}],"claims":{"name":"DataForSEO","summary":"REST APIs for search-engine results, SEO datasets and related business data.","kind":"app","publisher":"DataForSEO","homepage":"https://dataforseo.com/","docsUrl":"https://docs.dataforseo.com/v3/","costRange":"unknown","costNotes":"Live and task-based endpoints have different request, delivery and charging contracts.","functions":["search","retrieve","extract"],"slices":[{"functionId":"search","label":"Search","note":"Live and task-based endpoints have different request, delivery and charging contracts.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Live and task-based endpoints have different request, delivery and charging contracts.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"Live and task-based endpoints have different request, delivery and charging contracts.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://docs.dataforseo.com/v3/"},{"kind":"sdk","specUrl":"https://docs.dataforseo.com/v3/"}],"composabilityRationale":"Use its declared http, sdk surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[{"from":"dataforseo","to":"tikhub","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."},{"from":"dataforseo","to":"litescrape","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."},{"from":"dataforseo","to":"expand-fetch","kind":"alternative-to","note":"Shared functions extract, retrieve. Same kind and overlapping capability."},{"from":"dataforseo","to":"keenable","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"dataforseo","to":"exa","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."},{"from":"dataforseo","to":"cloro","kind":"alternative-to","note":"Shared functions extract, search. Same kind and overlapping capability."},{"from":"dataforseo","to":"crunchbase","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"dataforseo","to":"octen","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"docs","label":"DataForSEO official documentation","url":"https://docs.dataforseo.com/v3/","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"No MCP surface is declared. An API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[{"kind":"docs","label":"DataForSEO official documentation","url":"https://docs.dataforseo.com/v3/","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is undated. Freshness is omitted unless observed as a signal.","sources":[{"kind":"docs","label":"DataForSEO official documentation","url":"https://docs.dataforseo.com/v3/","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"local-faiss-mcp-server","name":"Local FAISS MCP Server","summary":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","publisher":"nonatofabio","homepage":"https://github.com/nonatofabio/local_faiss_mcp","kind":"mcp","hasApi":false,"hasMcp":true,"costRange":"unknown","costNotes":"No price, license fee, or paid plan is stated on the retrieved page. Installation is described as pip install local-faiss-mcp from PyPI or from source; optional pandoc is mentioned for extra document formats. Cost is therefore unknown.","functions":["connect","memory","code","embed","extract","index","ingest","retrieve","search","store","rank"],"slices":[{"functionId":"ingest","label":"Document ingestion","note":"ingest_document accepts text or a file path and chunks documents into the local store.","cost":"Unknown"},{"functionId":"extract","label":"Answer extraction prompt","note":"MCP prompt extract-answer formats cited answers from retrieved chunks.","cost":"Unknown"},{"functionId":"retrieve","label":"RAG retrieval","note":"query_rag_store returns relevant document chunks for a natural-language query.","cost":"Unknown"},{"functionId":"index","label":"CLI and server indexing","note":"local-faiss index and the MCP server write FAISS indexes under a configurable index directory.","cost":"Unknown"},{"functionId":"embed","label":"Sentence embeddings","note":"Configurable Hugging Face sentence-transformers embedding models; default all-MiniLM-L6-v2.","cost":"Unknown"},{"functionId":"memory","label":"Agent memory store","note":"Positioned as local agent memory and drop-in semantic search for Claude, Copilot, and agents.","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"Search","note":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","cost":"unknown"},{"functionId":"store","label":"Store","note":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","cost":"unknown"},{"functionId":"rank","label":"Rank","note":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","cost":"unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"Declared as a Model Context Protocol server with stdin/stdout MCP tool calls (ingest_document, query_rag_store) and MCP prompts (extract-answer, summarize-documents). It is described as usable with MCP-compatible agents and clients, plus a standalone local-faiss CLI that can reuse MCP config files. No non-MCP HTTP API is stated.","signals":[],"functionProbabilities":[{"functionId":"connect","value":0.92,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"memory","value":0.92,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"code","value":0.8,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"embed","value":0.8,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"extract","value":0.8,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"index","value":0.8,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"ingest","value":0.8,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"retrieve","value":0.8,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"search","value":0.8,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"store","value":0.8,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"summarize","value":0.8,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"compose","value":0.72,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"generate","value":0.72,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"rank","value":0.72,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"test","value":0.72,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"},{"functionId":"tool-call","value":0.72,"source":"https://github.com/nonatofabio/local_faiss_mcp","method":"lexical","observedAt":"2026-10-16T06:16:48.523Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://github.com/nonatofabio/local_faiss_mcp","method":"fallback"},{"key":"api","status":"unverified","asserted":"false","evidenceSource":"https://github.com/nonatofabio/local_faiss_mcp","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://github.com/nonatofabio/local_faiss_mcp","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://github.com/nonatofabio/local_faiss_mcp","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-16T06:16:49.468Z","updatedAt":"2026-10-16T06:16:49.468Z","sources":[{"kind":"web","label":"executor","url":"https://github.com/nonatofabio/local_faiss_mcp","excerpt":"BranchesTags\n\n## Latest commit\n\n## History\n\n37 Commits\n\n## Folders and files\n\n## Repository files navigation\n\n# Local FAISS MCP Server\n\nA Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for ","at":"2026-10-16T06:16:49.468Z"}],"recordId":"cmp_local-faiss-mcp-server","claims":{"name":"Local FAISS MCP Server","summary":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","kind":"mcp","publisher":"nonatofabio","homepage":"https://github.com/nonatofabio/local_faiss_mcp","costRange":"unknown","costNotes":"No price, license fee, or paid plan is stated on the retrieved page. Installation is described as pip install local-faiss-mcp from PyPI or from source; optional pandoc is mentioned for extra document formats. Cost is therefore unknown.","functions":["connect","memory","code","embed","extract","index","ingest","retrieve","search","store","rank"],"slices":[{"functionId":"ingest","label":"Document ingestion","note":"ingest_document accepts text or a file path and chunks documents into the local store.","cost":"Unknown"},{"functionId":"extract","label":"Answer extraction prompt","note":"MCP prompt extract-answer formats cited answers from retrieved chunks.","cost":"Unknown"},{"functionId":"retrieve","label":"RAG retrieval","note":"query_rag_store returns relevant document chunks for a natural-language query.","cost":"Unknown"},{"functionId":"index","label":"CLI and server indexing","note":"local-faiss index and the MCP server write FAISS indexes under a configurable index directory.","cost":"Unknown"},{"functionId":"embed","label":"Sentence embeddings","note":"Configurable Hugging Face sentence-transformers embedding models; default all-MiniLM-L6-v2.","cost":"Unknown"},{"functionId":"memory","label":"Agent memory store","note":"Positioned as local agent memory and drop-in semantic search for Claude, Copilot, and agents.","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"Search","note":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","cost":"unknown"},{"functionId":"store","label":"Store","note":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","cost":"unknown"},{"functionId":"rank","label":"Rank","note":"Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.","cost":"unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"Declared as a Model Context Protocol server with stdin/stdout MCP tool calls (ingest_document, query_rag_store) and MCP prompts (extract-answer, summarize-documents). It is described as usable with MCP-compatible agents and clients, plus a standalone local-faiss CLI that can reuse MCP config files. No non-MCP HTTP API is stated."},"relations":[{"from":"local-faiss-mcp-server","to":"memini","kind":"alternative-to","note":"Shared functions code, connect, embed, memory, rank, retrieve, search, store. Same kind and overlapping capability."},{"from":"local-faiss-mcp-server","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions code, connect, index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"lore","kind":"fills-same-slot-as","note":"Shared functions connect, extract, memory, retrieve, search, store. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"self","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, index, rank, search. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect, embed, memory, retrieve. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions code, connect, index, memory, search, store. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions embed, index, ingest, memory, retrieve. Can fill the same function slot."},{"from":"local-faiss-mcp-server","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions connect, index, ingest, retrieve, search. Can fill the same function slot."}],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"An MCP surface is declared. No API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-10-16. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://github.com/nonatofabio/local_faiss_mcp","excerpt":"BranchesTags\n\n## Latest commit\n\n## History\n\n37 Commits\n\n## Folders and files\n\n## Repository files navigation\n\n# Local FAISS MCP Server\n\nA Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for ","at":"2026-10-16T06:16:49.468Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"local-office","name":"Local Office","publisher":"mfranzon","kind":"app","summary":"A native Mac document assistant with local ingestion, cited answers and a document-derived wiki.","homepage":"https://github.com/mfranzon/local-office","docsUrl":"https://github.com/mfranzon/local-office","functions":["ingest","retrieve","summarize","memory"],"costRange":"free","recordId":"cmp_local-office","hasMcp":false,"hasApi":false,"costNotes":"Software is MIT licensed; models retain separate licenses and local hardware costs remain unknown. Optional connected MCP services send selected data remotely; this is an MCP client, not a verified MCP server.","composabilityRationale":"Use its declared application surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"github","label":"Local Office official repository","url":"https://github.com/mfranzon/local-office","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"ingest","label":"Ingest","note":"Software is MIT licensed; models retain separate licenses and local hardware costs remain unknown. Optional connected MCP services send selected data remotely; this is an MCP client, not a verified MCP server.","cost":"free"},{"functionId":"retrieve","label":"Retrieve","note":"Software is MIT licensed; models retain separate licenses and local hardware costs remain unknown. Optional connected MCP services send selected data remotely; this is an MCP client, not a verified MCP server.","cost":"free"},{"functionId":"summarize","label":"Summarize","note":"Software is MIT licensed; models retain separate licenses and local hardware costs remain unknown. Optional connected MCP services send selected data remotely; this is an MCP client, not a verified MCP server.","cost":"free"},{"functionId":"memory","label":"Memory","note":"Software is MIT licensed; models retain separate licenses and local hardware costs remain unknown. Optional connected MCP services send selected data remotely; this is an MCP client, not a verified MCP server.","cost":"free"}],"license":"MIT","repoUrl":"https://github.com/mfranzon/local-office","claims":{"name":"Local Office","summary":"A native Mac document assistant with local ingestion, cited answers and a document-derived wiki.","kind":"app","publisher":"mfranzon","homepage":"https://github.com/mfranzon/local-office","repoUrl":"https://github.com/mfranzon/local-office","docsUrl":"https://github.com/mfranzon/local-office","license":"MIT","costRange":"free","costNotes":"Software is MIT licensed; models retain separate licenses and local hardware costs remain unknown. Optional connected MCP services send selected data remotely; this is an MCP client, not a verified MCP server.","functions":["ingest","retrieve","summarize","memory"],"slices":[{"functionId":"ingest","label":"Ingest","note":"Software is MIT licensed; models retain separate licenses and local hardware costs remain unknown. Optional connected MCP services send selected data remotely; this is an MCP client, not a verified MCP server.","cost":"free"},{"functionId":"retrieve","label":"Retrieve","note":"Software is MIT licensed; models retain separate licenses and local hardware costs remain unknown. Optional connected MCP services send selected data remotely; this is an MCP client, not a verified MCP server.","cost":"free"},{"functionId":"summarize","label":"Summarize","note":"Software is MIT licensed; models retain separate licenses and local hardware costs remain unknown. Optional connected MCP services send selected data remotely; this is an MCP client, not a verified MCP server.","cost":"free"},{"functionId":"memory","label":"Memory","note":"Software is MIT licensed; models retain separate licenses and local hardware costs remain unknown. Optional connected MCP services send selected data remotely; this is an MCP client, not a verified MCP server.","cost":"free"}],"interfaces":[],"composabilityRationale":"Use its declared application surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[{"from":"local-office","to":"deep-agents","kind":"fills-same-slot-as","note":"Shared functions memory, summarize. Can fill the same function slot."},{"from":"local-office","to":"llamaindex","kind":"fills-same-slot-as","note":"Shared functions ingest, memory, retrieve. Can fill the same function slot."},{"from":"local-office","to":"telemetry-dev","kind":"fills-same-slot-as","note":"Shared functions ingest, retrieve. Can fill the same function slot."},{"from":"local-office","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions ingest, memory, retrieve. Can fill the same function slot."},{"from":"local-office","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions memory, retrieve. Can fill the same function slot."},{"from":"local-office","to":"pageindex","kind":"fills-same-slot-as","note":"Shared functions memory, retrieve. Can fill the same function slot."},{"from":"local-office","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions ingest, memory, retrieve. Can fill the same function slot."},{"from":"local-office","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions ingest, retrieve. Can fill the same function slot."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[{"kind":"github","label":"Local Office official repository","url":"https://github.com/mfranzon/local-office","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"github","label":"Local Office official repository","url":"https://github.com/mfranzon/local-office","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"No MCP surface is declared. No API is declared. Cost is free. 1 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is undated. Freshness is omitted unless observed as a signal.","sources":[{"kind":"github","label":"Local Office official repository","url":"https://github.com/mfranzon/local-office","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"lore","name":"Lore","summary":"Open-source shared persistent memory for AI agents, backed by Notion. A Lore vault is a Notion page with Projects, Topics, Memories, Entities, and Facts databases so later sessions and people can reuse experiential knowledge, follow-up tasks, decision records, and procedures. Age","publisher":"Notion","homepage":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","kind":"mcp","hasApi":false,"hasMcp":true,"costRange":"unknown","costNotes":"Unknown: The page states Lore is open source under the MIT license and stored in Notion. It does not state a price, usage fee, seat cost, or whether a paid Notion plan is required.","functions":["memory","extract","search","store","connect","evaluate","retrieve","tool-call"],"slices":[{"functionId":"memory","label":"Shared agent memory vault","note":"Persistent shared memory for experiential knowledge, follow-up tasks, decision records, and procedures, stored as related Notion pages.","cost":"Unknown"},{"functionId":"store","label":"Background memory write","note":"Hooks prompt agents to store information and save it in the background. Facts expire unless reinforced and can be linked with supersedes, scoped, or conflicts_with.","cost":"Unknown"},{"functionId":"retrieve","label":"Session context retrieval","note":"Sessions can start with relevant vault context, and agents can fetch and expand stored memories through Lore tools.","cost":"Unknown"},{"functionId":"search","label":"Structured vault search","note":"Projects, Topics, Memories, Entities, and Facts are related so agents have a predictable search structure, including fuzzy search across those relations.","cost":"Unknown"},{"functionId":"extract","label":"extract","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"evaluate","label":"evaluate","note":"Inferred from executor","cost":"Unknown"},{"functionId":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"The page states any MCP-compatible agent harness can reference the vault through lore-* MCP tools, while humans can use the same Notion pages or a Lore CLI. It contrasts this with harness-local, model-provider, and single-machine file memory. Exact tool schemas, authentication, and any non-MCP HTTP API are not specified in the retrieved text.","signals":[],"functionProbabilities":[{"functionId":"memory","value":0.92,"source":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"lexical","observedAt":"2026-10-16T00:14:10.454Z"},{"functionId":"extract","value":0.8,"source":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"lexical","observedAt":"2026-10-16T00:14:10.454Z"},{"functionId":"search","value":0.8,"source":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"lexical","observedAt":"2026-10-16T00:14:10.454Z"},{"functionId":"store","value":0.8,"source":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"lexical","observedAt":"2026-10-16T00:14:10.454Z"},{"functionId":"connect","value":0.72,"source":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"lexical","observedAt":"2026-10-16T00:14:10.454Z"},{"functionId":"evaluate","value":0.72,"source":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"lexical","observedAt":"2026-10-16T00:14:10.454Z"},{"functionId":"retrieve","value":0.72,"source":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"lexical","observedAt":"2026-10-16T00:14:10.454Z"},{"functionId":"tool-call","value":0.72,"source":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"lexical","observedAt":"2026-10-16T00:14:10.454Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"fallback"},{"key":"api","status":"unverified","asserted":"false","evidenceSource":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-16T00:14:11.348Z","updatedAt":"2026-10-16T00:14:11.348Z","sources":[{"kind":"web","label":"executor","url":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","excerpt":"All posts\n\nAll posts\n\nPublished August 18, 2026 in Tech\n\n# Building Shared Memory for AI Agents in Notion\n\nBy Hesham Salman\n\nEngineering, Notion\n\nAs software engineering changes, tribal knowledge is increasingly concentrated not only in a s","at":"2026-10-16T00:14:11.348Z"}],"recordId":"cmp_lore","claims":{"name":"Lore","summary":"Open-source shared persistent memory for AI agents, backed by Notion. A Lore vault is a Notion page with Projects, Topics, Memories, Entities, and Facts databases so later sessions and people can reuse experiential knowledge, follow-up tasks, decision records, and procedures. Age","kind":"mcp","publisher":"Notion","homepage":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","costRange":"unknown","costNotes":"Unknown: The page states Lore is open source under the MIT license and stored in Notion. It does not state a price, usage fee, seat cost, or whether a paid Notion plan is required.","functions":["memory","extract","search","store","connect","evaluate","retrieve","tool-call"],"slices":[{"functionId":"memory","label":"Shared agent memory vault","note":"Persistent shared memory for experiential knowledge, follow-up tasks, decision records, and procedures, stored as related Notion pages.","cost":"Unknown"},{"functionId":"store","label":"Background memory write","note":"Hooks prompt agents to store information and save it in the background. Facts expire unless reinforced and can be linked with supersedes, scoped, or conflicts_with.","cost":"Unknown"},{"functionId":"retrieve","label":"Session context retrieval","note":"Sessions can start with relevant vault context, and agents can fetch and expand stored memories through Lore tools.","cost":"Unknown"},{"functionId":"search","label":"Structured vault search","note":"Projects, Topics, Memories, Entities, and Facts are related so agents have a predictable search structure, including fuzzy search across those relations.","cost":"Unknown"},{"functionId":"extract","label":"extract","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"evaluate","label":"evaluate","note":"Inferred from executor","cost":"Unknown"},{"functionId":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"The page states any MCP-compatible agent harness can reference the vault through lore-* MCP tools, while humans can use the same Notion pages or a Lore CLI. It contrasts this with harness-local, model-provider, and single-machine file memory. Exact tool schemas, authentication, and any non-MCP HTTP API are not specified in the retrieved text."},"relations":[{"from":"lore","to":"exa","kind":"fills-same-slot-as","note":"Shared functions connect, extract, retrieve, search, tool-call. Can fill the same function slot."},{"from":"lore","to":"local-faiss-mcp-server","kind":"fills-same-slot-as","note":"Shared functions connect, extract, memory, retrieve, search, store. Can fill the same function slot."},{"from":"lore","to":"awesome","kind":"fills-same-slot-as","note":"Shared functions connect, evaluate, memory, search, store. Can fill the same function slot."},{"from":"lore","to":"dataforseo","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."},{"from":"lore","to":"litescrape","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."},{"from":"lore","to":"tikhub","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."},{"from":"lore","to":"pulsemcp","kind":"fills-same-slot-as","note":"Shared functions connect, retrieve, search, tool-call. Can fill the same function slot."},{"from":"lore","to":"memini","kind":"fills-same-slot-as","note":"Shared functions connect, memory, retrieve, search, store. Can fill the same function slot."}],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"An MCP surface is declared. No API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-10-16. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://www.notion.com/blog/building-shared-memory-for-ai-agents-in-notion","excerpt":"All posts\n\nAll posts\n\nPublished August 18, 2026 in Tech\n\n# Building Shared Memory for AI Agents in Notion\n\nBy Hesham Salman\n\nEngineering, Notion\n\nAs software engineering changes, tribal knowledge is increasingly concentrated not only in a s","at":"2026-10-16T00:14:11.348Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6,"tags":["agents"]},{"slug":"octen","name":"Octen","publisher":"Octen","kind":"app","summary":"Search infrastructure for web, image and video retrieval, with related embedding and research capabilities.","homepage":"https://octen.ai/","docsUrl":"https://docs.octen.ai/overview/introduction","functions":["search","retrieve","embed"],"costRange":"unknown","recordId":"cmp_octen","hasMcp":false,"hasApi":true,"costNotes":"Freshness, latency, benchmark and service-level statements remain vendor claims; no performance was measured.","composabilityRationale":"Use its declared http surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"http","specUrl":"https://docs.octen.ai/overview/introduction"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"Octen official documentation","url":"https://docs.octen.ai/overview/introduction","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"search","label":"Search","note":"Freshness, latency, benchmark and service-level statements remain vendor claims; no performance was measured.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Freshness, latency, benchmark and service-level statements remain vendor claims; no performance was measured.","cost":"unknown"},{"functionId":"embed","label":"Embed","note":"Freshness, latency, benchmark and service-level statements remain vendor claims; no performance was measured.","cost":"unknown"}],"claims":{"name":"Octen","summary":"Search infrastructure for web, image and video retrieval, with related embedding and research capabilities.","kind":"app","publisher":"Octen","homepage":"https://octen.ai/","docsUrl":"https://docs.octen.ai/overview/introduction","costRange":"unknown","costNotes":"Freshness, latency, benchmark and service-level statements remain vendor claims; no performance was measured.","functions":["search","retrieve","embed"],"slices":[{"functionId":"search","label":"Search","note":"Freshness, latency, benchmark and service-level statements remain vendor claims; no performance was measured.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Freshness, latency, benchmark and service-level statements remain vendor claims; no performance was measured.","cost":"unknown"},{"functionId":"embed","label":"Embed","note":"Freshness, latency, benchmark and service-level statements remain vendor claims; no performance was measured.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://docs.octen.ai/overview/introduction"}],"composabilityRationale":"Use its declared http surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[{"from":"octen","to":"keenable","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"octen","to":"crunchbase","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"octen","to":"dataforseo","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"octen","to":"litescrape","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"octen","to":"tendata","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"octen","to":"tikhub","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"octen","to":"turbopuffer","kind":"fills-same-slot-as","note":"Shared functions embed, search. Can fill the same function slot."},{"from":"octen","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions embed, retrieve. Can fill the same function slot."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"docs","label":"Octen official documentation","url":"https://docs.octen.ai/overview/introduction","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"No MCP surface is declared. An API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[{"kind":"docs","label":"Octen official documentation","url":"https://docs.octen.ai/overview/introduction","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is undated. Freshness is omitted unless observed as a signal.","sources":[{"kind":"docs","label":"Octen official documentation","url":"https://docs.octen.ai/overview/introduction","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"tendata","name":"Tendata","publisher":"Tendata","kind":"app","summary":"Trade-record, company and contact-data APIs with structured query filters.","homepage":"https://www.tendata.com/","docsUrl":"https://open-api.tendata.cn/trade-count.html","functions":["search","retrieve","enrich"],"costRange":"unknown","recordId":"cmp_tendata","hasMcp":false,"hasApi":true,"costNotes":"Authentication, licensed datasets, date windows and query restrictions are operation specific.","composabilityRationale":"Use its declared http surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"http","specUrl":"https://open-api.tendata.cn/trade-count.html"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"Tendata official documentation","url":"https://open-api.tendata.cn/trade-count.html","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"search","label":"Search","note":"Authentication, licensed datasets, date windows and query restrictions are operation specific.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Authentication, licensed datasets, date windows and query restrictions are operation specific.","cost":"unknown"},{"functionId":"enrich","label":"Enrich","note":"Authentication, licensed datasets, date windows and query restrictions are operation specific.","cost":"unknown"}],"claims":{"name":"Tendata","summary":"Trade-record, company and contact-data APIs with structured query filters.","kind":"app","publisher":"Tendata","homepage":"https://www.tendata.com/","docsUrl":"https://open-api.tendata.cn/trade-count.html","costRange":"unknown","costNotes":"Authentication, licensed datasets, date windows and query restrictions are operation specific.","functions":["search","retrieve","enrich"],"slices":[{"functionId":"search","label":"Search","note":"Authentication, licensed datasets, date windows and query restrictions are operation specific.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Authentication, licensed datasets, date windows and query restrictions are operation specific.","cost":"unknown"},{"functionId":"enrich","label":"Enrich","note":"Authentication, licensed datasets, date windows and query restrictions are operation specific.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://open-api.tendata.cn/trade-count.html"}],"composabilityRationale":"Use its declared http surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[{"from":"tendata","to":"crunchbase","kind":"alternative-to","note":"Shared functions enrich, retrieve, search. Same kind and overlapping capability."},{"from":"tendata","to":"contactout","kind":"alternative-to","note":"Shared functions enrich, search. Same kind and overlapping capability."},{"from":"tendata","to":"keenable","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"tendata","to":"akta-pro","kind":"alternative-to","note":"Shared functions enrich, search. Same kind and overlapping capability."},{"from":"tendata","to":"apollo","kind":"alternative-to","note":"Shared functions enrich, search. Same kind and overlapping capability."},{"from":"tendata","to":"dataforseo","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"tendata","to":"hunter","kind":"alternative-to","note":"Shared functions enrich, search. Same kind and overlapping capability."},{"from":"tendata","to":"litescrape","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"docs","label":"Tendata official documentation","url":"https://open-api.tendata.cn/trade-count.html","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"No MCP surface is declared. An API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[{"kind":"docs","label":"Tendata official documentation","url":"https://open-api.tendata.cn/trade-count.html","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is undated. Freshness is omitted unless observed as a signal.","sources":[{"kind":"docs","label":"Tendata official documentation","url":"https://open-api.tendata.cn/trade-count.html","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"tikhub","name":"TikHub","publisher":"TikHub","kind":"app","summary":"Developer API for retrieving and searching social-platform content and profiles.","homepage":"https://tikhub.io/","docsUrl":"https://docs.tikhub.io/","functions":["search","retrieve","extract"],"costRange":"unknown","recordId":"cmp_tikhub","hasMcp":false,"hasApi":true,"costNotes":"Endpoint availability, permitted use and charges vary by service; integration was not tested.","composabilityRationale":"Use its declared http, sdk surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"http","specUrl":"https://docs.tikhub.io/"},{"kind":"sdk","specUrl":"https://docs.tikhub.io/"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"TikHub official documentation","url":"https://docs.tikhub.io/","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"search","label":"Search","note":"Endpoint availability, permitted use and charges vary by service; integration was not tested.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Endpoint availability, permitted use and charges vary by service; integration was not tested.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"Endpoint availability, permitted use and charges vary by service; integration was not tested.","cost":"unknown"}],"claims":{"name":"TikHub","summary":"Developer API for retrieving and searching social-platform content and profiles.","kind":"app","publisher":"TikHub","homepage":"https://tikhub.io/","docsUrl":"https://docs.tikhub.io/","costRange":"unknown","costNotes":"Endpoint availability, permitted use and charges vary by service; integration was not tested.","functions":["search","retrieve","extract"],"slices":[{"functionId":"search","label":"Search","note":"Endpoint availability, permitted use and charges vary by service; integration was not tested.","cost":"unknown"},{"functionId":"retrieve","label":"Retrieve","note":"Endpoint availability, permitted use and charges vary by service; integration was not tested.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"Endpoint availability, permitted use and charges vary by service; integration was not tested.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://docs.tikhub.io/"},{"kind":"sdk","specUrl":"https://docs.tikhub.io/"}],"composabilityRationale":"Use its declared http, sdk surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[{"from":"tikhub","to":"dataforseo","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."},{"from":"tikhub","to":"litescrape","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."},{"from":"tikhub","to":"expand-fetch","kind":"alternative-to","note":"Shared functions extract, retrieve. Same kind and overlapping capability."},{"from":"tikhub","to":"keenable","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"tikhub","to":"exa","kind":"alternative-to","note":"Shared functions extract, retrieve, search. Same kind and overlapping capability."},{"from":"tikhub","to":"cloro","kind":"alternative-to","note":"Shared functions extract, search. Same kind and overlapping capability."},{"from":"tikhub","to":"crunchbase","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."},{"from":"tikhub","to":"octen","kind":"alternative-to","note":"Shared functions retrieve, search. Same kind and overlapping capability."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[{"kind":"docs","label":"TikHub official documentation","url":"https://docs.tikhub.io/","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"No MCP surface is declared. An API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[{"kind":"docs","label":"TikHub official documentation","url":"https://docs.tikhub.io/","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is undated. Freshness is omitted unless observed as a signal.","sources":[{"kind":"docs","label":"TikHub official documentation","url":"https://docs.tikhub.io/","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"vuda-visual-ui-debug-agent","name":"VUDA (Visual UI Debug Agent)","summary":"An MCP server using Playwright to let AI models visually analyze, automate, test, and debug web interfaces.","publisher":"samihalawa","homepage":"https://github.com/samihalawa/visual-ui-debug-agent-mcp","kind":"mcp","hasApi":false,"hasMcp":true,"costRange":"unknown","costNotes":"Unknown: The page states npm/npx installation and an ISC license but provides no pricing or usage-cost information.","functions":["connect","browser","crawl","extract","index","monitor","retrieve","search"],"slices":[{"functionId":"browser","label":"Playwright browser control","note":"Navigate pages and interact through clicks, form filling, selection, hovering, keyboard input, drag-and-drop, and browser history controls.","cost":"Unknown"},{"functionId":"extract","label":"Page and DOM inspection","note":"Extract visible text or rendered HTML and inspect DOM elements, styles, and properties.","cost":"Unknown"},{"functionId":"crawl","label":"Sitemap crawling","note":"Crawl sitemaps and analyze page structure.","cost":"Unknown"},{"functionId":"monitor","label":"Performance and console monitoring","note":"Measure page performance and Core Web Vitals while capturing console errors, warnings, and logs.","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"index","label":"index","note":"Inferred from executor","cost":"Unknown"},{"functionId":"retrieve","label":"retrieve","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"search","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"The page declares an MCP server configurable with Claude Desktop and other MCP clients, plus programmatic MCP SDK usage. It requires Node.js 18 or later. API endpoint testing is a tool capability, but no standalone VUDA API interface is 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\n/\n**visual-ui-debug-agent-mcp**\nPublic\n\n* Notifications\n   You must be signed in to change notification settings\n* Fork\n  7\n* Star\n   79\n\nBranchesTags\n\n## Repository files navigation\n\n**Autonomous MCP Server for AI-Powered Visu","at":"2026-11-04T06:17:58.295Z"}],"recordId":"cmp_vuda-visual-ui-debug-agent","claims":{"name":"VUDA (Visual UI Debug Agent)","summary":"An MCP server using Playwright to let AI models visually analyze, automate, test, and debug web interfaces.","kind":"mcp","publisher":"samihalawa","homepage":"https://github.com/samihalawa/visual-ui-debug-agent-mcp","costRange":"unknown","costNotes":"Unknown: The page states npm/npx installation and an ISC license but provides no pricing or usage-cost information.","functions":["connect","browser","crawl","extract","index","monitor","retrieve","search"],"slices":[{"functionId":"browser","label":"Playwright browser control","note":"Navigate pages and interact through clicks, form filling, selection, hovering, keyboard input, drag-and-drop, and browser history controls.","cost":"Unknown"},{"functionId":"extract","label":"Page and DOM inspection","note":"Extract visible text or rendered HTML and inspect DOM elements, styles, and properties.","cost":"Unknown"},{"functionId":"crawl","label":"Sitemap crawling","note":"Crawl sitemaps and analyze page structure.","cost":"Unknown"},{"functionId":"monitor","label":"Performance and console monitoring","note":"Measure page performance and Core Web Vitals while capturing console errors, warnings, and logs.","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"index","label":"index","note":"Inferred from executor","cost":"Unknown"},{"functionId":"retrieve","label":"retrieve","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"search","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"The page declares an MCP server configurable with Claude Desktop and other MCP clients, plus programmatic MCP SDK usage. It requires Node.js 18 or later. API endpoint testing is a tool capability, but no standalone VUDA API interface is declared."},"relations":[{"from":"vuda-visual-ui-debug-agent","to":"exa","kind":"fills-same-slot-as","note":"Shared functions connect, crawl, extract, retrieve, search. Can fill the same function slot."},{"from":"vuda-visual-ui-debug-agent","to":"tinyfish","kind":"fills-same-slot-as","note":"Shared functions browser, connect, crawl, extract, search. Can fill the same function slot."},{"from":"vuda-visual-ui-debug-agent","to":"context-dev","kind":"fills-same-slot-as","note":"Shared functions connect, crawl, extract, search. Can fill the same function slot."},{"from":"vuda-visual-ui-debug-agent","to":"firecrawl","kind":"fills-same-slot-as","note":"Shared functions connect, crawl, extract, search. Can fill the same function slot."},{"from":"vuda-visual-ui-debug-agent","to":"dataforseo","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."},{"from":"vuda-visual-ui-debug-agent","to":"litescrape","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."},{"from":"vuda-visual-ui-debug-agent","to":"search1api","kind":"fills-same-slot-as","note":"Shared functions crawl, extract, search. Can fill the same function slot."},{"from":"vuda-visual-ui-debug-agent","to":"tikhub","kind":"fills-same-slot-as","note":"Shared functions extract, retrieve, search. Can fill the same function slot."}],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"An MCP surface is declared. No API is declared. Cost is unknown. 1 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-11-04. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://github.com/samihalawa/visual-ui-debug-agent-mcp","excerpt":"samihalawa\n \n/\n**visual-ui-debug-agent-mcp**\nPublic\n\n* Notifications\n   You must be signed in to change notification settings\n* Fork\n  7\n* Star\n   79\n\nBranchesTags\n\n## Repository files navigation\n\n**Autonomous MCP Server for AI-Powered Visu","at":"2026-11-04T06:17:58.295Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"zillow-data-apis","name":"Zillow Data & APIs","publisher":"Zillow Group","kind":"app","summary":"A family of real-estate data and integration APIs spanning listings, mortgages, rentals and property information.","homepage":"https://www.zillowgroup.com/developers/","docsUrl":"https://www.zillowgroup.com/developers/","functions":["retrieve","connect"],"costRange":"unknown","recordId":"cmp_zillow-data-apis","hasMcp":false,"hasApi":true,"costNotes":"This is a family of services, not an unrestricted property-data API. Access, partnership and licensing requirements vary by offering.","composabilityRationale":"Use its declared http surface for the listed capability slices. Source review does not establish integration success or observed usage.","interfaces":[{"kind":"http","specUrl":"https://www.zillowgroup.com/developers/"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"Zillow Data & APIs official documentation","url":"https://www.zillowgroup.com/developers/","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"retrieve","label":"Retrieve","note":"This is a family of services, not an unrestricted property-data API. Access, partnership and licensing requirements vary by offering.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"This is a family of services, not an unrestricted property-data API. Access, partnership and licensing requirements vary by offering.","cost":"unknown"}],"claims":{"name":"Zillow Data & APIs","summary":"A family of real-estate data and integration APIs spanning listings, mortgages, rentals and property information.","kind":"app","publisher":"Zillow Group","homepage":"https://www.zillowgroup.com/developers/","docsUrl":"https://www.zillowgroup.com/developers/","costRange":"unknown","costNotes":"This is a family of services, not an unrestricted property-data API. Access, partnership and licensing requirements vary by offering.","functions":["retrieve","connect"],"slices":[{"functionId":"retrieve","label":"Retrieve","note":"This is a family of services, not an unrestricted property-data API. Access, partnership and licensing requirements vary by offering.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"This is a family of services, not an unrestricted property-data API. Access, partnership and licensing requirements vary by offering.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://www.zillowgroup.com/developers/"}],"composabilityRationale":"Use its declared http surface for the listed capability slices. Source review does not establish integration success or observed usage."},"relations":[{"from":"zillow-data-apis","to":"concentrate-ai","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"zillow-data-apis","to":"dory","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"zillow-data-apis","to":"google-workspace-cli","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"zillow-data-apis","to":"larasend","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"zillow-data-apis","to":"mailcheap","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"zillow-data-apis","to":"monid-289f37","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"zillow-data-apis","to":"rare-ui","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"zillow-data-apis","to":"refero","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."}],"signals":[],"functionProbabilities":[],"claimVerification":[],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. 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Freshness is omitted unless observed as a signal.","sources":[{"kind":"docs","label":"Zillow Data & APIs official documentation","url":"https://www.zillowgroup.com/developers/","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6}]}