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Is GigHQ.ai reliable?

Reliable (measured) Yes. Faceabot measured GigHQ.ai 4 times: 100% of checks succeeded, including the last 4 in a row (last check 2026-10-25 00:40 UTC).

Last check: 2026-10-25 00:40 UTC · answered in 6644 ms · remote (no install)

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

What it does

Job-search tracker for AI agents: applications, stale follow-ups, skills gaps, H-1B lookup.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
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{
  "mcpServers": {
    "gighq": {
      "url": "https://mcp.gighq.ai/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"ai.gighq/gighq"} 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
2026-10-25 00:40 UTC✅ ok❌ auth_required6644 ms
2026-10-24 14:25 UTC✅ ok❌ auth_required4746 ms
2026-10-24 04:45 UTC✅ ok❌ auth_required5618 ms
2026-10-23 18:01 UTC✅ ok❌ auth_required8402 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 GigHQ.ai?

Show your measured reliability on your README or website:

Faceabot reliability badge for GigHQ.ai

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

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