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Is APICK AI 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

LLM chat, text tools, image generation, editing, batch image jobs, and asynchronous video generation

Source: official MCP registry (registry.modelcontextprotocol.io) · version 3.5.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "ai": {
      "url": "https://apick.app/mcp/ai"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"app.apick/ai"} 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 09:50 UTC✅ ok5670 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 APICK AI?

Show your measured reliability on your README or website:

Faceabot reliability badge for APICK AI

[![Measured by Faceabot](https://faceabot.com/badge/app.apick/ai.svg)](https://faceabot.com/tools/app.apick/ai)
Data in JSON: /api/catalog?id=app.apick/ai · 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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