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Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"casdoor","kind":"fills-same-slot-as","note":"Shared functions auth, connect, identity, policy. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"invisible-playwright-mcp","kind":"fills-same-slot-as","note":"Shared functions auth, connect, identity, policy. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"github","kind":"fills-same-slot-as","note":"Shared functions auth, connect, observe. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"monid","kind":"fills-same-slot-as","note":"Shared functions connect, route, tool-call. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"openrouter-c833b6","kind":"fills-same-slot-as","note":"Shared functions route, tool-call. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"build-software-better-together","kind":"fills-same-slot-as","note":"Shared functions connect, route, tool-call. Can fill the same function slot."},{"from":"mcp-ai-gateway","to":"camofox-browser-server","kind":"fills-same-slot-as","note":"Shared functions auth, policy, route. Can fill the same function slot."}],"signals":[{"key":"human_note_count","value":1,"source":"component-record","method":"stored-notes","observedAt":"2026-09-13T08:56:02.863Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"toloka","name":"Toloka","summary":"Human-in-the-loop training data, RL environments, and evaluation for AI agents and LLMs.","kind":"resource","homepage":"https://toloka.ai","publisher":"Toloka","hasMcp":false,"hasApi":true,"costRange":"enterprise","composabilityRationale":"Toloka is a data and evaluation vendor, not an agent runtime; it feeds training and eval loops rather than composing as an in-agent tool.","functions":["evaluate","classify","generate","observe"],"slices":[{"functionId":"evaluate","label":"RL environments and model evaluation","note":"Complex multi-step RL environments used to test and improve agent behavior."},{"functionId":"classify","label":"Human annotation and labeling","note":"Expert labeling and annotation for training and safety datasets."},{"functionId":"generate","label":"Training data generation","note":"Human-plus-tech pipelines that produce agentic, coding, and safety data."},{"functionId":"observe","label":"Human expertise feedback","note":"Expert review that surfaces model failure modes and improvement signals."}],"tweets":[],"sources":[{"kind":"web","label":"web","url":"https://toloka.ai","excerpt":"Apr 15, 2026 — The definitive list: 20 production-ready MCP servers across developer tools, productivity, data, search, design, SEO, and human expertise ...","at":"2026-09-11T16:37:36.852Z"},{"kind":"crawl","label":"TinyFish fetch","url":"https://toloka.ai","excerpt":"# Training data for AI agents and LLMs\n\nFrom agentic skills to coding and AI safety — we build data solutions integrating human expertise and technology to accelerate AI development.\n\nTalk to an expert\n\nTrusted by Leading AI Teams\n\n# What o","at":"2026-09-11T16:37:36.853Z"}],"origin":"intake","notes":[{"authorKind":"agent","body":"Intake via web.","at":"2026-09-11T16:37:36.853Z"}],"costNotes":"Enterprise data-collection engagements; no public self-serve MCP or list pricing on the homepage evidence.","score":12,"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,"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://toloka.ai","excerpt":"# Training data for AI agents and LLMs\n\nFrom agentic skills to coding and AI safety — we build data solutions integrating human expertise and technology to accelerate AI development.\n\nTalk to an expert\n\nTrusted by Leading AI Teams\n\n# What o","at":"2026-09-11T16:37:36.853Z"}],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"No MCP surface is declared. An API is declared. Cost is enterprise. 2 of 3 checklist fields are complete.","sources":[{"kind":"crawl","label":"TinyFish fetch","url":"https://toloka.ai","excerpt":"# Training data for AI agents and LLMs\n\nFrom agentic skills to coding and AI safety — we build data solutions integrating human expertise and technology to accelerate AI development.\n\nTalk to an expert\n\nTrusted by Leading AI Teams\n\n# What o","at":"2026-09-11T16:37:36.853Z"}],"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://toloka.ai","excerpt":"Apr 15, 2026 — The definitive list: 20 production-ready MCP servers across developer tools, productivity, data, search, design, SEO, and human expertise ...","at":"2026-09-11T16:37:36.852Z"},{"kind":"crawl","label":"TinyFish fetch","url":"https://toloka.ai","excerpt":"# Training data for AI agents and LLMs\n\nFrom agentic skills to coding and AI safety — we build data solutions integrating human expertise and technology to accelerate AI development.\n\nTalk to an expert\n\nTrusted by Leading AI Teams\n\n# What o","at":"2026-09-11T16:37:36.853Z"}],"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":"2026-09-11T16:37:36.854Z","updatedAt":"2026-09-13T08:56:02.862Z","tags":["agents"],"recordId":"cmp_toloka","claims":{"name":"Toloka","summary":"Human-in-the-loop training data, RL environments, and evaluation for AI agents and LLMs.","kind":"resource","publisher":"Toloka","homepage":"https://toloka.ai","costRange":"enterprise","costNotes":"Enterprise data-collection engagements; no public self-serve MCP or list pricing on the homepage evidence.","functions":["evaluate","classify","generate","observe"],"slices":[{"functionId":"evaluate","label":"RL environments and model evaluation","note":"Complex multi-step RL environments used to test and improve agent behavior."},{"functionId":"classify","label":"Human annotation and labeling","note":"Expert labeling and annotation for training and safety datasets."},{"functionId":"generate","label":"Training data generation","note":"Human-plus-tech pipelines that produce agentic, coding, and safety data."},{"functionId":"observe","label":"Human expertise feedback","note":"Expert review that surfaces model failure modes and improvement signals."}],"interfaces":[{"kind":"http"}],"composabilityRationale":"Toloka is a data and evaluation vendor, not an agent runtime; it feeds training and eval loops rather than composing as an in-agent tool."},"interfaces":[{"kind":"http"}],"relations":[{"from":"toloka","to":"langsmith","kind":"fills-same-slot-as","note":"Shared functions evaluate, observe. Can fill the same function slot."},{"from":"toloka","to":"openrouter","kind":"fills-same-slot-as","note":"Shared functions generate, observe. Can fill the same function slot."},{"from":"toloka","to":"typesafe-jev","kind":"fills-same-slot-as","note":"Shared functions classify, evaluate. Can fill the same function slot."},{"from":"toloka","to":"41-open-source-llms-evaluated-on-19-benchmarks","kind":"fills-same-slot-as","note":"Shared functions evaluate, generate. Can fill the same function slot."}],"signals":[{"key":"human_note_count","value":1,"source":"component-record","method":"stored-notes","observedAt":"2026-09-13T08:56:02.862Z"}],"functionProbabilities":[],"claimVerification":[]},{"slug":"maple","name":"Maple","summary":"Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","kind":"app","homepage":"https://maple.dev/","repoUrl":"https://github.com/MapleTechLabs/maple","docsUrl":"https://maple.dev/docs/","publisher":"","license":"Apache-2.0","hasMcp":true,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["browser","connect","observe","store"],"functionProbabilities":[{"functionId":"browser","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-08-16-mapletechlabs-maple.md","method":"lexical","observedAt":"2026-08-16T00:00:00.000Z"},{"functionId":"connect","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-08-16-mapletechlabs-maple.md","method":"lexical","observedAt":"2026-08-16T00:00:00.000Z"},{"functionId":"observe","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-08-16-mapletechlabs-maple.md","method":"lexical","observedAt":"2026-08-16T00:00:00.000Z"},{"functionId":"store","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-08-16-mapletechlabs-maple.md","method":"lexical","observedAt":"2026-08-16T00:00:00.000Z"}],"slices":[{"functionId":"browser","label":"Browser","note":"Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","cost":"unknown"},{"functionId":"observe","label":"Observe","note":"Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","cost":"unknown"},{"functionId":"store","label":"Store","note":"Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-16-mapletechlabs-maple.md\nMaple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","at":"2026-08-16T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Maple — OTel-native observability backend with local mode and MCP access","at":"2026-08-16T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"ds, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","at":"2026-08-16T00:00:00.000Z"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"}],"origin":"seed","notes":[],"createdAt":"2026-08-16T00:00:00.000Z","updatedAt":"2026-08-16T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_maple","claims":{"name":"Maple","summary":"Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","kind":"app","publisher":"","homepage":"https://maple.dev/","repoUrl":"https://github.com/MapleTechLabs/maple","docsUrl":"https://maple.dev/docs/","license":"Apache-2.0","costRange":"unknown","functions":["browser","connect","observe","store"],"slices":[{"functionId":"browser","label":"Browser","note":"Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","cost":"unknown"},{"functionId":"observe","label":"Observe","note":"Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","cost":"unknown"},{"functionId":"store","label":"Store","note":"Maple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"}],"composabilityRationale":""},"relations":[{"from":"maple","to":"browserbase","kind":"alternative-to","note":"Shared functions browser, connect, observe. Same kind and overlapping capability."},{"from":"maple","to":"github","kind":"alternative-to","note":"Shared functions connect, observe, store. Same kind and overlapping capability."},{"from":"maple","to":"tinyfish","kind":"fills-same-slot-as","note":"Shared functions browser, connect, observe. Can fill the same function slot."},{"from":"maple","to":"agent-desktop","kind":"fills-same-slot-as","note":"Shared functions browser, observe. Can fill the same function slot."},{"from":"maple","to":"atomic-agent","kind":"fills-same-slot-as","note":"Shared functions browser, connect. Can fill the same function slot."},{"from":"maple","to":"playwright","kind":"fills-same-slot-as","note":"Shared functions browser, observe. Can fill the same function slot."},{"from":"maple","to":"kogiqa-mcp-web-browser","kind":"fills-same-slot-as","note":"Shared functions browser, connect. Can fill the same function slot."},{"from":"maple","to":"mcp-ai-gateway","kind":"fills-same-slot-as","note":"Shared functions connect, observe. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-08-16T00:00:00.000Z"},{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-08-16T00:00:00.000Z"}],"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. 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/2026-08-16-mapletechlabs-maple.md\nMaple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","at":"2026-08-16T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Maple — OTel-native observability backend with local mode and MCP access","at":"2026-08-16T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"ds, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","at":"2026-08-16T00:00:00.000Z"}],"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":"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":0.26214289265639185,"contribution":0.036700004971894865,"why":"3 sources cover 1 evidence types. The latest dated evidence is 2026-08-16. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-16-mapletechlabs-maple.md\nMaple is a general observability platform for traces, logs, and metrics. It accepts OTLP data and uses ClickHouse-family storage and query paths. Its product surfaces include distributed traces, correlated logs, metrics and dashboards, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","at":"2026-08-16T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"Maple — OTel-native observability backend with local mode and MCP access","at":"2026-08-16T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"ds, service maps, error tracking, alerts, infrastructure context, browser session replay, CLI queries, and an MCP server.","at":"2026-08-16T00:00:00.000Z"}],"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":12},{"slug":"cloro","name":"cloro","publisher":"cloro","kind":"app","summary":"Returns structured search and AI-response results, including available source citations.","homepage":"https://cloro.dev/","docsUrl":"https://cloro.dev/docs","functions":["search","observe","extract"],"costRange":"unknown","recordId":"cmp_cloro","hasMcp":true,"hasApi":true,"costNotes":"Provider, location and credit choices affect results; vendor output is not independent verification of an answer.","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://cloro.dev/docs"},{"kind":"mcp","specUrl":"https://cloro.dev/docs"}],"origin":"intake","tweets":[],"notes":[],"sources":[{"kind":"docs","label":"cloro official documentation","url":"https://cloro.dev/docs","checkedAt":"2026-11-07T13:46:44.976Z","basis":"vendor-claim"}],"slices":[{"functionId":"search","label":"Search","note":"Provider, location and credit choices affect results; vendor output is not independent verification of an answer.","cost":"unknown"},{"functionId":"observe","label":"Observe","note":"Provider, location and credit choices affect results; vendor output is not independent verification of an answer.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"Provider, location and credit choices affect results; vendor output is not independent verification of an answer.","cost":"unknown"}],"claims":{"name":"cloro","summary":"Returns structured search and AI-response results, including available source citations.","kind":"app","publisher":"cloro","homepage":"https://cloro.dev/","docsUrl":"https://cloro.dev/docs","costRange":"unknown","costNotes":"Provider, location and credit choices affect results; vendor output is not independent verification of an answer.","functions":["search","observe","extract"],"slices":[{"functionId":"search","label":"Search","note":"Provider, location and credit choices affect results; vendor output is not independent verification of an answer.","cost":"unknown"},{"functionId":"observe","label":"Observe","note":"Provider, location and credit choices affect results; vendor output is not independent verification of an answer.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"Provider, location and credit choices affect results; vendor output is not independent verification of an answer.","cost":"unknown"}],"interfaces":[{"kind":"http","specUrl":"https://cloro.dev/docs"},{"kind":"mcp","specUrl":"https://cloro.dev/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":"cloro","to":"tinyfish","kind":"alternative-to","note":"Shared functions extract, observe, search. Same kind and overlapping capability."},{"from":"cloro","to":"litescrape","kind":"alternative-to","note":"Shared functions extract, search. Same kind and overlapping capability."},{"from":"cloro","to":"search1api","kind":"alternative-to","note":"Shared functions extract, search. Same kind and overlapping capability."},{"from":"cloro","to":"dataforseo","kind":"alternative-to","note":"Shared functions extract, search. Same kind and overlapping capability."},{"from":"cloro","to":"tikhub","kind":"alternative-to","note":"Shared functions extract, search. Same kind and overlapping capability."},{"from":"cloro","to":"anyapi","kind":"fills-same-slot-as","note":"Shared functions extract, search. Can fill the same function slot."},{"from":"cloro","to":"playwright","kind":"fills-same-slot-as","note":"Shared functions extract, observe. Can fill the same function slot."},{"from":"cloro","to":"context-dev","kind":"fills-same-slot-as","note":"Shared functions extract, 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":"cloro official documentation","url":"https://cloro.dev/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":"cloro official documentation","url":"https://cloro.dev/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":"cloro official documentation","url":"https://cloro.dev/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":"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. 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