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Is Research papers reliable?

Being measured Measurement in progress: 2 check(s) so far. A verdict needs at least 3 checks.

Last check: 2026-10-12 00:35 UTC · answered in 8000 ms · remote (no install)

Proven alternatives that work right now

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Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

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

What it does

arXiv, PubMed, Crossref and OpenAlex scholarly metadata.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.1 · publisher website
Connect your agent
{
  "mcpServers": {
    "research": {
      "url": "https://fourzerotwo.si/mcp/v/research"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"si.fourzerotwo/research"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Real task being tested — Faceabot asked arxiv__search to do a small read-only task 1 time(s): 0 returned a real result. Last result: tool_error (its schema declares no required input, so Faceabot sent {}; the tool answered with an error, so it probably needs inputs its schema does not declare) in 3953 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
2026-10-12 00:35 UTC❌ timeout8000 ms
2026-10-11 18:31 UTC✅ ok❌ tool_error10009 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 Research papers?

Show your measured reliability on your README or website:

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Data in JSON: /api/catalog?id=si.fourzerotwo/research · Stop probes: POST /api/reliability/opt-out

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