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Is AI Incident Law reliable?

Not measured yet AI Incident Law runs locally (installed package), so Faceabot cannot measure it over the network.

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

What it does

Public-record corpus of AI litigation, regulation, and enforcement, anchored to EveryAILaw.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.4.3 · publisher website
Connect your agent
{
  "mcpServers": {
    "ai-incident-law": {
      "command": "npx",
      "args": [
        "-y",
        "ai-incident-law"
      ]
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.snapsynapse/ai-incident-law"} 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.

More from the same publisher

EveryAILaw Not measured yet

AI law obligations, evidence, deadlines, saved profiles, audit trails, and signed change alerts.

Package npm : every-ai-law · website · measurements and details
PubLedge Not measured yet

Open recordkeeping protocol for JIAs, RMAs, no-action letters, and analogous instruments.

Package npm : publedge · website · measurements and details

Find tools similar to AI Incident Law →

Publisher of AI Incident Law?

Show your measured reliability on your README or website:

Faceabot reliability badge for AI Incident Law

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