Claimify

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genpark-agent-hallucinationofficial
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license
Not graded
quality
B
maintenance
Enables autonomous agents and MCP clients to decompose text into atomic claims and verify them against reference knowledge, detecting ungrounded claims, numerical contradictions, and hallucinated entities.
Updated 7 days ago (2026-09-29 09:55 UTC)
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genpark-agent-hallucination
RAG Systems AI & Machine Learning Autonomous Agents
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F
license
Not graded
quality
B
maintenance
Enables AI agents and MCP clients to decompose text into atomic claims and cross-verify them against reference knowledge to flag ungrounded claims, numerical contradictions, and hallucinated entities. Runs deterministically with zero dependencies over JSON-RPC stdio, avoiding LLM round-trips for routine verification tasks.
Updated 7 days ago (2026-09-29 09:55 UTC)
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OpenPapers
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maintenance
Enables provenance-first scholarly retrieval, paper ingestion, and reproducible research workflows by searching academic and developer sources, extracting source-located facts and claims, and preserving evidence and provider uncertainty for MCP clients.
Updated 21 days ago (2026-09-15 13:59 UTC)
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1
Apache 2.0
Lenz MCP Serverofficial
Search Research & Data AI & Machine Learning
lenzhq
A
license
Not graded
quality
A
maintenance
Fact-check claims against independent sources via a multi-model pipeline, providing verdicts and confidence levels from any MCP client.
Updated a day ago (2026-10-05 10:23 UTC)
Apache 2.0
claimgate
Legal & Compliance Testing & QA Tools CI/CD & DevOps
caseone115
A
license
A
quality
A
maintenance
Enables MCP clients to gate drafts before publishing by extracting and checking claims against supplied evidence, enforcing configured policy rules, and flagging missing AI-disclosure requirements. It exposes tools for draft checks, claim listing, policy-only checks, and server metadata.
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MIT
AgentGround Cross-Check
AI & Machine Learning Agent Orchestration Autonomous Agents
Arafel187
A
license
Not graded
quality
B
maintenance
Enables AI agents to cross-verify candidate claims against caller-supplied source texts, flagging hallucinations, numerical drift, entity mismatches, contradictions, and unverified assertions. It returns sentence-level verdicts with matched evidence snippets and machine-readable factual grounding confidence scores, exposed over MCP stdio, HTTP REST, and A2A discovery routes.
Updated 15 days ago (2026-09-21 12:48 UTC)
MIT