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Veritap

Checks real-world factual claims for AI agents and returns evidence bundles, plus wallet-addressed paid mailbox storage.

Actively maintained

At a glanceswept Oct 24, 2026

not read yet

Use

For
Teams building AI agents that need fact checks or wallet-addressed storage for their data
Activity
Actively maintainedsite updated 3 days ago
Used for
  • check whether a real-world claim holds up
  • collect an evidence bundle behind a verdict
  • send paid messages to an agent's wallet address
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 26, 2026
  • MCP serverdev.veritap/agent-memoryverified in the MCP registry
  • Stateanswers, 12 toolschecked 2026-10-26
  • Address to connectlocker.veritap.dev/mcp/memory

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

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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 Veritap?

    Checks real-world factual claims for AI agents and returns evidence bundles, plus wallet-addressed paid mailbox storage. It is listed in the Atlas under Agents.

  • Who is Veritap for?

    Teams building AI agents that need fact checks or wallet-addressed storage for their data

  • Do people use Veritap?

    Little sign of use.

  • Is Veritap still maintained?

    Actively maintained: site updated 3 days ago.

  • What are alternatives to Veritap?

    In Agents, by use: Robotomail, Maha Strategies, AI Email API & Infrastructure for AI Agents, mcpemails, Verifi, Darwin.

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