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Fairquery

Pay-per-result tools that check email addresses, screen names against sanctions lists, pull job listings, monitor competitor pages and scan domains for exposed secrets.

From $0.30 per useActively maintained

Fairquery: data, price, alternatives
At a glancechecked Oct 26, 2026

not read yet

Use

For
developers and AI agents needing focused data tools for hiring, monitoring, security and compliance checks
Price
From $0.30 per usepricing page, read Oct 28, 2026
Activity
Actively maintainedrelease 7 days ago · site updated 7 days ago
Company
Fairquery LLC · Domain since 2026 (registered this year)privacy policy · domain registered
How it runs
API
Used for
  • track competitor pricing and terms page changes
  • screen names against sanctions watchlists
  • validate email addresses without sending any mail
read off getfairquery.com on Oct 28, 2026
Worth knowingcomputed from what we read · each with its source
Pricingpricing page, read Oct 28, 2026
Your datawhat they publish, each line with its page · read Oct 28, 2026

“We don't sell your inputs or results, and we don't use them to train AI models.”

security page ↗

These are Fairquery's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

How a program reaches itfound, not claimed · read Oct 28, 2026
  • MCP servercom.getfairquery/agent-trust-mcpverified in the MCP registry
  • Stateanswers, 21 toolschecked 2026-10-28
  • Address to connectmcp.getfairquery.com/mcp
  • MCP docsgetfairquery.com/hosted-mcp-serverthe vendor's page ↗

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 Financeby use, among tools still maintained

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

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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 Fairquery?

    Pay-per-result tools that check email addresses, screen names against sanctions lists, pull job listings, monitor competitor pages and scan domains for exposed secrets. It is listed in the Atlas under Finance and made by Fairquery LLC.

  • Who is Fairquery for?

    developers and AI agents needing focused data tools for hiring, monitoring, security and compliance checks

  • How much does Fairquery cost?

    Paid plans start at $0.30 per use, per Fairquery's pricing page on 2026-10-28.

  • Is Fairquery free?

    No. Its pricing page showed no free plan on 2026-10-28.

  • Do people use Fairquery?

    Little sign of use.

  • Is Fairquery still maintained?

    Actively maintained: release 7 days ago · site updated 7 days ago.

  • Who owns Fairquery?

    Fairquery is run by Fairquery LLC, per its privacy policy (2026-10-28).

  • Does Fairquery train AI on your data?

    No, per its security page (2026-10-28): “We don't sell your inputs or results, and we don't use them to train AI models.”

  • Is Fairquery safe?

    We do not audit vendors. What Fairquery publishes, read 2026-10-28: a trust center; on training with your data, “We don't sell your inputs or results, and we don't use them to train AI models.”.

  • What are alternatives to Fairquery?

    In Finance, by use: Sanction Scanner, BlueUP, CompliAPI, OFACScreen, OmniWatchGuard.

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