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  "slug": "factors-ai",
  "normalized_name": "factors ai",
  "name": "Factors.ai",
  "vendor_url": "https://www.factors.ai",
  "category": "signals-intent-abm",
  "what_it_does": "De-anonymizes website visitors and tracks named-account behavior (page visits, LinkedIn/Google ad engagement, email/content engagement, third-party intent research signals) to identify in-market accounts and specific contacts.",
  "ai_features": "\"Scout Agent\" is a genuine AI copilot/LLM layer grounded in account data (chat-based Q&A, account research). Predictive account scoring is more conventional scoring/ranking on engagement signals - model details aren't disclosed, so treat \"predictive\" as scored/ranked data rather than confirmed deep ML.",
  "mcp_status": "official",
  "mcp_url": "https://mcp.factors.ai/mcp ; https://help.factors.ai/en/articles/14705206-factors-mcp",
  "mcp_auth": "Personal access token (generated in Settings > AI Features), used via Claude custom connector or a local Python 3.11+ package.",
  "api_gate": "paid",
  "revops_role": "Account-level intent + engagement tracking with an AI copilot (Scout) for research/attribution, exposed to external AI clients via MCP.",
  "tier": "RESEARCHED",
  "last_checked": "2026-09-07",
  "sources": "https://www.factors.ai/, https://www.factors.ai/pricing, https://help.factors.ai/en/articles/14705206-factors-mcp, https://www.factors.ai/mcp, https://mcp.factors.ai/mcp",
  "notes": "Lite tier is free/self-serve (2-minute setup, no card) but is visitor-ID/traffic-analysis only. MCP/Scout Agent access requires \"AI Features,\" gated behind paid plans (Basic $6K/yr, Growth $20K/yr, Enterprise $30K+/yr) that require booking a demo rather than self-serve checkout. 2026-09-07: https://mcp.factors.ai/mcp returned 401 {\"error\": \"unauthorized\", \"error_description\": \"missing or malformed Authorization: Bearer header\"} to an MCP initialize POST (https://mcp.factors.ai/mcp).",
  "mcp_status_bucket": "official",
  "api_gate_bucket": "paid",
  "mcp_urls": [
    "https://mcp.factors.ai/mcp",
    "https://help.factors.ai/en/articles/14705206-factors-mcp"
  ],
  "source_urls": [
    "https://www.factors.ai/",
    "https://www.factors.ai/pricing",
    "https://help.factors.ai/en/articles/14705206-factors-mcp",
    "https://www.factors.ai/mcp",
    "https://mcp.factors.ai/mcp"
  ],
  "source_annotations": [],
  "vendor_domain": "factors.ai",
  "display_name": "Factors.ai",
  "docs_url": null,
  "jobs": [
    "identify-anonymous-website-visitor",
    "fetch-buyer-intent-signals",
    "research-account-for-call-prep",
    "score-and-prioritize-leads"
  ],
  "jobs_tagged_by": "machine-pass",
  "jobs_tagged_on": "2026-08-25",
  "github_url": null,
  "github_stars": null,
  "github_last_commit": null,
  "github_archived": null,
  "github_fetched_on": null,
  "github_candidates": [],
  "docs_digest": null,
  "docs_last_crawled": null,
  "submission": null,
  "mcp_tools": [],
  "mcp_tool_count": 0,
  "mcp_tools_evidence": null,
  "mcp_tools_repo": null,
  "mcp_tools_repo_party": null,
  "mcp_catalog_shape": null,
  "mcp_catalog_note": null,
  "mcp_tools_fetched_on": null,
  "cli_status": "none-found",
  "cli_party": null,
  "cli_binary": null,
  "cli_install": [],
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  "cli_commands_seen": [],
  "cli_docs_url": null,
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  "cli_packages": [],
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  "cli_checked_on": "2026-09-27",
  "github_org": null,
  "github_org_status": "unresolved",
  "github_org_url": null,
  "github_org_evidence": {
    "rule": null,
    "reason": "github candidates were seen but none passed the evidence rules",
    "candidates_rejected": [
      {
        "login": "kcp-dev",
        "from": "rule 3 (factors)",
        "type": "Organization",
        "website": null,
        "rejected": "website (none) does not match factors.ai"
      },
      {
        "login": "conflict-investigations",
        "from": "rule 3 (factors)",
        "type": "Organization",
        "website": null,
        "rejected": "website (none) does not match factors.ai"
      },
      {
        "login": "Factorsoft",
        "from": "rule 3 (factors)",
        "type": "Organization",
        "website": null,
        "rejected": "website (none) does not match factors.ai"
      },
      {
        "login": "cef",
        "from": "rule 3 (factors)",
        "type": "Organization",
        "website": "https://www.cef.co.uk",
        "rejected": "website cef.co.uk does not match factors.ai"
      },
      {
        "login": "Lunova-Studio",
        "from": "rule 3 (factors)",
        "type": "Organization",
        "website": null,
        "rejected": "website (none) does not match factors.ai"
      }
    ]
  },
  "github_org_repos": 0,
  "github_org_repos_mcp": 0,
  "github_org_repos_cli": 0,
  "github_org_latest_activity": null,
  "github_org_recent_repos": [],
  "github_org_checked_on": "2026-09-08",
  "mcp_endpoint": null,
  "mcp_docs_url": "https://help.factors.ai/en/articles/14705206-factors-mcp",
  "endpoint_status": "docs-only",
  "endpoint_http_status": 200,
  "endpoint_last_probed": "2026-09-04",
  "endpoint_wall_note": null,
  "canonical": true,
  "canonical_id": "05-factors-ai",
  "also_listed_in": [],
  "source_file": "05-signals-intent-abm.md",
  "source_line": 332,
  "file_index": 13,
  "category_num": "05",
  "category_slug": "signals-intent-abm",
  "category_label": "Signals & Intent",
  "heading": "Factors.ai",
  "missing_schema_fields": [],
  "extra_fields": {},
  "display_rank": 88
}