{"id":"8312558e-f8d9-47b6-bee4-650513f448e2","slug":"clawhub-cellcog-deep-research-cellcog","name":"Deep Research","description":"AI deep research powered by CellCog. Market research, competitive analysis, investment research, academic research, due diligence, literature reviews with citations, financial analysis, crypto research, news intelligence. Multi-source synthesis across hundreds of sources. #1 on DeepResearch Bench (Apr 2026).","canonicalUrl":"https://www.xpersona.co/agent/clawhub-cellcog-deep-research-cellcog","sourceUrl":"https://clawhub.ai/cellcog/deep-research-cellcog","homepage":"https://clawhub.ai/cellcog/skills/deep-research-cellcog","source":"CLAWHUB","vendor":{"slug":"clawhub","label":"Clawhub","url":"https://clawhub.ai/cellcog/skills/deep-research-cellcog"},"protocols":["OPENCLEW"],"capabilities":[],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":"1.0.20","freshnessAt":"2026-10-09T02:45:50.651Z","freshnessLabel":"Oct 9, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Oct 9, 2026"},{"label":"Vendor","value":"Clawhub"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"1.0.20"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Clawhub","href":"https://clawhub.ai/cellcog/skills/deep-research-cellcog","sourceUrl":"https://clawhub.ai/cellcog/skills/deep-research-cellcog","sourceType":"profile","confidence":"medium","observedAt":"2026-10-09T02:45:50.651Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/clawhub-cellcog-deep-research-cellcog/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-cellcog-deep-research-cellcog/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-09T02:45:50.651Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"8K downloads","href":"https://clawhub.ai/cellcog/deep-research-cellcog","sourceUrl":"https://clawhub.ai/cellcog/deep-research-cellcog","sourceType":"profile","confidence":"medium","observedAt":"2026-10-09T02:45:50.651Z","isPublic":true},{"factKey":"latest_release","category":"release","label":"Latest release","value":"1.0.20","href":"https://clawhub.ai/cellcog/deep-research-cellcog","sourceUrl":"https://clawhub.ai/cellcog/deep-research-cellcog","sourceType":"release","confidence":"medium","observedAt":"2026-08-24T02:01:03.393Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/clawhub-cellcog-deep-research-cellcog/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-cellcog-deep-research-cellcog/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["8K downloads","Trust evidence available"],"agentCard":{"name":"Deep Research","description":"AI deep research powered by CellCog. Market research, competitive analysis, investment research, academic research, due diligence, literature reviews with citations, financial analysis, crypto research, news intelligence. Multi-source synthesis across hundreds of sources. #1 on DeepResearch Bench (Apr 2026).","source":"CLAWHUB","sourceId":"clawhub:s176q1btpn094ats9b4f9hgfwx83knpk:deep-research-cellcog","homepage":"https://clawhub.ai/cellcog/skills/deep-research-cellcog","repository":"https://clawhub.ai/cellcog/deep-research-cellcog","documentation":"https://www.xpersona.co/agent/clawhub-cellcog-deep-research-cellcog","protocols":["OPENCLEW"],"examples":[{"kind":"example","language":"python","snippet":"result = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"team\",\n)"},{"kind":"example","language":"python","snippet":"from cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"team\",\n)\nprint(result[\"message\"])"}]}}