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Is UNLAV CSV Reconcile reliable?

Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.

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

What it does

Compare CSV tables by key; report changes and ambiguous rows. 0.05 USDC on Base via x402.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "csv-reconcile": {
      "url": "https://7days.unlavsofts.xyz/mcp/csv-reconcile"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Ivansky1/csv-reconcile"} 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

No measurement yet.

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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Dataset Diff & Change Detector Not measured yet

Compare two versions of a JSON row list: what was added, removed or changed, field by field.

MCP endpoint : https://dataset-diff-detector.nerolabs.workers.dev/mcp · website · measurements and details
Publisher of UNLAV CSV Reconcile?

Show your measured reliability on your README or website:

Faceabot reliability badge for UNLAV CSV Reconcile

[![Measured by Faceabot](https://faceabot.com/badge/io.github.Ivansky1/csv-reconcile.svg)](https://faceabot.com/tools/io.github.Ivansky1/csv-reconcile)
Data in JSON: /api/catalog?id=io.github.Ivansky1/csv-reconcile · Stop probes: POST /api/reliability/opt-out

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