# ground-truth-mcp

> Use this tool when you need to validate AI claims against real-world data, ensuring accuracy and reliability in decision-making. The ground-truth-mcp tool solves problems of data verification and hypothesis testing by checking endpoints, counting competitors, and testing hypotheses. It accepts various inputs and provides actionable outputs via free and paid tools, making it ideal for use cases requiring data-driven validation and insight.

Canonical page: https://skillsregistry.net/skills/anish632-ground-truth-mcp  
JSON: https://api.skillsregistry.net/v1/skills/anish632-ground-truth-mcp

## Description

Validate AI claims against live data: check endpoints, count competitors, and test hypotheses. Includes free and paid tools via x402.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dkoz6bcqm6)
- **Repository:** <https://github.com/anish632/ground-truth-mcp>

## 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": "anish632-ground-truth-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anish632-ground-truth-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anish632-ground-truth-mcp/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