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licenseA
qualityC
maintenanceVerifies factual claims against live sources and returns a verdict, confidence score, and citations for any agent to use before stating uncertain facts.
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6
1
MIT
Deep Research Fact-Checker
by Alpha-Park
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Deep Research Fact-Checker Skill for Autonomous Agents
Critical safety and anti-hallucination engine for autonomous research agents. Cross-references extracted factual claims against multiple independent source documents, computing verification scores and identifying ungrounded claims.
Capabilities
Multi-Source Corroboration: Checks claims against multiple texts to ensure broad factual consensus.
Ungrounded Claim Detection: Flags statements with low lexical overlap or zero citations.
Confidence Scoring: Returns deterministic, normalized confidence metrics (0.0 to 1.0).
Related MCP server: tribunal-mcp
MCP Server Integration
python mcp_server.pyAvailable MCP Tools
verify_claim: Evaluate claim veracity across a dictionary of source documents.
Tool Schema Changelog
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- FlicenseNot gradedqualityDmaintenanceEnables fact-checking claims by providing a verify_claim tool that returns a verdict (True/False/Misleading/Unverifiable) with confidence score and citations, using adversarial multi-agent RAG pipeline.1-
- AlicenseNot gradedqualityCmaintenanceEnables agents to verify claims with evidence-based truth scores and confidence levels by running a deterministic pipeline of evidence lanes and adversarial checks.26MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to verify claims deterministically by computing arithmetic, ratios, and dates and matching statements against provided sources, returning a confidence ladder of certain, source-backed, or unverifiable.MIT
