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FactoGraph

Stores facts a person approves and lets AI assistants answer from them, citing each fact's link.

Actively maintained

FactoGraph: data, price, alternatives
At a glancechecked Oct 21, 2026

not read yet

Use

For
teams and individuals who need AI answers traceable to facts they approved
Activity
Actively maintainedsite updated 12 days ago
How it runs
API
Used for
  • trace contract clauses and meeting decisions to their sources
  • check due diligence findings against the reports behind them
  • keep support answers consistent across agents and chatbots
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 28, 2026
  • MCP serverapp.factograph/factographverified in the MCP registry
  • Stateanswers, 7 toolschecked 2026-10-28
  • Address to connectapi.factograph.app/api/mcp

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Agentsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

Compare FactoGraph with

Pick up to two.

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Not it? Say what you need

beta

Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is FactoGraph?

    Stores facts a person approves and lets AI assistants answer from them, citing each fact's link. It is listed in the Atlas under Agents.

  • Who is FactoGraph for?

    teams and individuals who need AI answers traceable to facts they approved

  • Do people use FactoGraph?

    Little sign of use.

  • Is FactoGraph still maintained?

    Actively maintained: site updated 12 days ago.

  • What are alternatives to FactoGraph?

    In Agents, by use: Kin, Future AGI, CiteHawk, Pacing Tools, Maha Strategies.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk