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It supports isolated sessions, persistent profiles, structured extraction, and search macros. The product is in Preview, so API behavior and request or response formats may change between minor versions. Hosted-service availability, pricing, and exact MCP companion setup are not stated in the retrieved evidence.","signals":[],"functionProbabilities":[{"functionId":"auth","value":0.8,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"browser","value":0.8,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"cache","value":0.8,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"extract","value":0.8,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"policy","value":0.8,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"route","value":0.8,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"search","value":0.8,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"compose","value":0.72,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"connect","value":0.72,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"monitor","value":0.72,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"observe","value":0.72,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"},{"functionId":"store","value":0.72,"source":"https://github.com/redf0x1/camofox-browser","method":"lexical","observedAt":"2026-11-04T06:17:07.468Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://github.com/redf0x1/camofox-browser","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://github.com/redf0x1/camofox-browser","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://github.com/redf0x1/camofox-browser","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://github.com/redf0x1/camofox-browser","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-11-04T06:17:10.356Z","updatedAt":"2026-11-04T06:17:10.356Z","sources":[{"kind":"web","label":"executor","url":"https://github.com/redf0x1/camofox-browser","excerpt":"BranchesTags\n\n## Repository files navigation\n\n# CamoFox Browser Server\n\n> Anti-detection browser server for AI agents — TypeScript REST API wrapping the Camoufox stealth browser engine\n\n## Table of Contents\n\n## Why CamoFox?\n\n**The Problem**","at":"2026-11-04T06:17:10.356Z"}],"recordId":"cmp_camofox-browser-server","claims":{"name":"CamoFox Browser Server","summary":"A TypeScript browser-automation server for AI agents that exposes the Camoufox stealth browser engine through REST APIs, a CLI, OpenClaw-compatible endpoints, and stated MCP compatibility.","kind":"runtime","publisher":"redf0x1","homepage":"https://github.com/redf0x1/camofox-browser","costRange":"unknown","costNotes":"Unknown: The retrieved page provides installation instructions but does not state pricing, hosted-service fees, or usage charges.","functions":["auth","browser","cache","extract","policy","route","search","compose"],"slices":[{"functionId":"browser","label":"Stealth browser automation","note":"Automates a Camoufox-based Firefox engine with engine-level fingerprint spoofing, isolated sessions, tabs, element references, and proxy or geo overrides.","cost":"Unknown"},{"functionId":"extract","label":"Structured page extraction","note":"Provides accessibility snapshots, image listing, snapshot pagination, and deterministic schema-driven JSON extraction without arbitrary JavaScript.","cost":"Unknown"},{"functionId":"search","label":"Search macros","note":"Includes 14 macros for named web services including Google, YouTube, Amazon, Reddit, and Wikipedia.","cost":"Unknown"},{"functionId":"auth","label":"Credential and API authentication","note":"Supports optional bearer authentication when an API key is configured and an AES-256-GCM encrypted credential vault.","cost":"Unknown"},{"functionId":"cache","label":"cache","note":"Inferred from executor","cost":"Unknown"},{"functionId":"policy","label":"policy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"route","label":"route","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"The runtime is designed for composition through a language-agnostic REST API, a 50+ command CLI, OpenClaw-compatible endpoints, and an external MCP companion integration. It supports isolated sessions, persistent profiles, structured extraction, and search macros. The product is in Preview, so API behavior and request or response formats may change between minor versions. Hosted-service availability, pricing, and exact MCP companion setup are not stated in the retrieved evidence."},"relations":[{"from":"camofox-browser-server","to":"casdoor","kind":"fills-same-slot-as","note":"Shared functions auth, compose, policy, search. Can fill the same function slot."},{"from":"camofox-browser-server","to":"invisible-playwright-mcp","kind":"fills-same-slot-as","note":"Shared functions auth, browser, policy, search. Can fill the same function slot."},{"from":"camofox-browser-server","to":"tinyfish-search-api","kind":"fills-same-slot-as","note":"Shared functions auth, browser, compose, search. Can fill the same function slot."},{"from":"camofox-browser-server","to":"anyapi","kind":"fills-same-slot-as","note":"Shared functions extract, route, search. Can fill the same function slot."},{"from":"camofox-browser-server","to":"tinyfish","kind":"fills-same-slot-as","note":"Shared functions browser, extract, search. Can fill the same function slot."},{"from":"camofox-browser-server","to":"mcp-ai-gateway","kind":"fills-same-slot-as","note":"Shared functions auth, policy, route. Can fill the same function slot."},{"from":"camofox-browser-server","to":"search","kind":"fills-same-slot-as","note":"Shared functions browser, search. Can fill the same function slot."},{"from":"camofox-browser-server","to":"human-review","kind":"fills-same-slot-as","note":"Shared functions browser, route. 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 2026-11-04. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://github.com/redf0x1/camofox-browser","excerpt":"BranchesTags\n\n## Repository files navigation\n\n# CamoFox Browser Server\n\n> Anti-detection browser server for AI agents — TypeScript REST API wrapping the Camoufox stealth browser engine\n\n## Table of Contents\n\n## Why CamoFox?\n\n**The Problem**","at":"2026-11-04T06:17:10.356Z"}],"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":"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":"rea","name":"REA","summary":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","kind":"resource","homepage":"https://rea.tools/","repoUrl":"https://github.com/morluto/rea","publisher":"","hasMcp":true,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["code","test","connect"],"functionProbabilities":[{"functionId":"code","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md","method":"lexical","observedAt":"2026-10-10T00:00:00.000Z"},{"functionId":"test","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md","method":"lexical","observedAt":"2026-10-10T00:00:00.000Z"},{"functionId":"connect","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md","method":"lexical","observedAt":"2026-10-10T00:00:00.000Z"}],"slices":[{"functionId":"code","label":"Code","note":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","cost":"unknown"},{"functionId":"test","label":"Test","note":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md\nREADME tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","at":"2026-10-10T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls","at":"2026-10-10T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"The CLI uses the same workflows.","at":"2026-10-10T00:00:00.000Z"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"}],"origin":"seed","notes":[],"createdAt":"2026-10-10T00:00:00.000Z","updatedAt":"2026-10-10T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_rea","claims":{"name":"REA","summary":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","kind":"resource","publisher":"","homepage":"https://rea.tools/","repoUrl":"https://github.com/morluto/rea","costRange":"unknown","functions":["code","test","connect"],"slices":[{"functionId":"code","label":"Code","note":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","cost":"unknown"},{"functionId":"test","label":"Test","note":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"}],"composabilityRationale":""},"relations":[{"from":"rea","to":"executor","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"rea","to":"kogiqa-mcp-web-browser","kind":"fills-same-slot-as","note":"Shared functions code, connect, test. Can fill the same function slot."},{"from":"rea","to":"agentmemory","kind":"alternative-to","note":"Shared functions code, connect. Same kind and overlapping capability."},{"from":"rea","to":"factory-droid","kind":"fills-same-slot-as","note":"Shared functions code, test. Can fill the same function slot."},{"from":"rea","to":"rtk","kind":"fills-same-slot-as","note":"Shared functions code, test. Can fill the same function slot."},{"from":"rea","to":"openai-codex","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"rea","to":"claude-code","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"rea","to":"cognee","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."}],"signals":[],"claimVerification":[],"explain":{"score":7,"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":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md\nREADME tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","at":"2026-10-10T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls","at":"2026-10-10T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"The CLI uses the same workflows.","at":"2026-10-10T00:00:00.000Z"}],"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 2026-10-10. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Catalogue resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-10-10-morluto-rea.md\nREADME tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.","at":"2026-10-10T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"README tagline: \"One MCP for reverse engineering across binaries, applications, and runtime behavior.\" The agent calls","at":"2026-10-10T00:00:00.000Z"},{"kind":"human","label":"Catalogue resource card","excerpt":"The CLI uses the same workflows.","at":"2026-10-10T00:00:00.000Z"}],"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":7}]}