# AgentUtil Verify

> Use this tool when you need to verify factual claims with high accuracy against live data sources. It solves problems of data inconsistency and inaccuracy in autonomous AI workflows, ensuring reliable decision-making. The AgentUtil Verify tool takes in claims and data sources as input and outputs verified factual information, ideal for pre-flight safety checks in agentic workflows.

Canonical page: https://skillsregistry.net/skills/agentutil-verify  
JSON: https://api.skillsregistry.net/v1/skills/agentutil-verify

## Description

Provides sub-cent factual claim verification against live data sources for autonomous AI agents. Part of the AgentUtil suite of pre-flight safety tools for agentic workflows.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentutil-verify)

## 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": "agentutil-verify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentutil-verify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentutil-verify/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
