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Is sec-ai: SEC EDGAR reliable?

Not measured yet sec-ai: SEC EDGAR runs locally (installed package), so Faceabot cannot measure it over the network.

Not checked yet · local package

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Research U.S. public companies from their SEC filings: financials, XBRL facts and filing text. · https://mcp.metricduck.com/mcp

numbercheck Reliable (measured) · 100%
Checks $TICKER numeric claims in financial writing against SEC EDGAR XBRL data from the latest 10-K. · https://www.edgethirteen.com/api/mcp/numbercheck

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

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

What it does

SEC EDGAR in 22 tools: 10-K/10-Q/8-K text, XBRL facts, insider trades, 13F, full-text search.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 2.0.5 · publisher website
Connect your agent
{
  "mcpServers": {
    "sec-ai": {
      "command": "uvx",
      "args": [
        "sec-finance-ai"
      ]
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.lkcair/sec-ai"} on https://faceabot.com/api/mcp.
Does it actually do the job?

— Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
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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yfinance-ai: Yahoo Finance Not measured yet

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Package pypi : yfinance-ai · website · measurements and details

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