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Is zRev AI reliable?

Being measured Measurement in progress: 2 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

Grade any llms.txt, cold-read a homepage, run a B2B GTM ROI model, get a GTM diligence checklist.

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

Real task being tested — Faceabot asked get_benchmarks to do a small read-only task 1 time(s): 1 returned a real result, the last 1 in a row. Last result: ok in 3152 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-06 19:31 UTC✅ ok✅ done6362 ms
2026-10-06 09:50 UTC✅ ok4686 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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Publisher of zRev AI?

Show your measured reliability on your README or website:

Faceabot reliability badge for zRev AI

[![Measured by Faceabot](https://faceabot.com/badge/ai.zrev/zrev.svg)](https://faceabot.com/tools/ai.zrev/zrev)
Data in JSON: /api/catalog?id=ai.zrev/zrev · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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