Factors.ai
official MCP | Researched | Checked 2026-09-07
The latest Factors.ai guide
9 answers about capabilities, access and practical workflows. Documentation reviewed 2026-10-20.
The catalog details below retain their original check dates. The guide separates documented features from untested connections.
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.
- API access
- paid
- MCP support
- official
- Last checked
- 2026-09-07
- Research
- Source researched
Workflows to compare
These are research categories assigned to the product. They do not establish that every task is available through its MCP.
- Identify an anonymous website visitor: Resolve site traffic to a company, or in a few cases a named person. Person-level resolution is much rarer than the marketing suggests.
- Fetch buyer intent signals: Return third-party or aggregated research/engagement signals saying an account may be in market.
- Research an account before a call: Produce a synthesized read on a company or person from many sources, for prep or qualification rather than as a raw data pull.
- Score and prioritize leads: Rank accounts, leads or contacts by fit, intent or qualification and say what to work first.
How to use this record
This record is based on source research, not an authenticated test of the product. Product features, API access and MCP actions can differ. Use the linked vendor documentation to confirm the operation you need and the account it will run against.
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About Factors.ai
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Full capabilities, notes, CLI evidence, and provenance are preserved in the original dataset. Find this record by its ID: 05-factors-ai.