# Facticity AI

> Use this tool when you need to verify the accuracy of claims in real-time, across multiple media formats, to reduce hallucinations and improve reliability in AI systems. Facticity AI takes in text, audio, and video inputs and outputs fast, transparent verification results using trusted sources. Ideal for high-stakes applications, such as live event fact-checking, and integrates seamlessly into MCP-compatible workflows for verifiable intelligence.

Canonical page: https://skillsregistry.net/skills/ai-seer-facticityai  
JSON: https://api.skillsregistry.net/v1/skills/ai-seer-facticityai

## Description

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.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ai-seer/facticityai)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-seer-facticityai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-seer-facticityai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-seer-facticityai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt