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Is AI Text Check reliable?

Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Paste a draft and see the habits that make writing read like it came from an AI model.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "ai-text": {
      "url": "https://aitext.openkrill.app/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"app.openkrill/ai-text"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements
WhenAnswersReal taskLatency
2026-10-06 10:01 UTC✅ ok3162 ms
Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

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YouTube transcripts, open jobs from careers pages, app store reviews and X posts for AI agents.

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Companies with a recent, dated, public sign they may buy, from SEC filings and job boards.

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Check a US car: decode a VIN, see recalls, crash ratings, owner complaints and fuel economy.

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Publisher of AI Text Check?

Show your measured reliability on your README or website:

Faceabot reliability badge for AI Text Check

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Data in JSON: /api/catalog?id=app.openkrill/ai-text · Stop probes: POST /api/reliability/opt-out

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