Facticity AI
Real-time, multi-modal fact-checking for AI systems. Facticity AI verifies claims across text, audio, and video using trusted sources, helping agents and applications reduce hallucinations and improve reliability in production environments. Powered by a combination of large language models and retrieval-augmented generation (RAG), Facticity performs structured claim extraction, evidence retrieval, and source ranking to deliver fast, transparent verification results. Recognized as one of Time’s Best Inventions of 2024, Facticity AI has been used in high-stakes scenarios including near real-time fact-checking of live events. Built for MCP-compatible workflows, it enables seamless integration of truth validation into AI agents, developer tools, and enterprise systems—bringing verifiable intelligence directly into your stack.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- Smithery
- Author type
- human
- Updated
- 2026-05-11
Use via MCP
Resolve Facticity AI from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.