# ClaimHit

> Use this tool when you need to identify potential patent infringements in products or services, and require an AI-powered scanning service to analyze and detect violations. ClaimHit solves problems related to patent compliance and risk assessment, providing a scalable solution through its analysis API. It takes product or service information as input and outputs scan results indicating potential patent infringements, making it ideal for use cases involving intellectual property protection and innovation validation.

Canonical page: https://skillsregistry.net/skills/claimhit  
JSON: https://api.skillsregistry.net/v1/skills/claimhit

## Description

ClaimHit is an AI-powered patent infringement identification service that scans products and services for potential patent violations. The MCP server provides access to ClaimHit's analysis API, enabling AI assistants to initiate and retrieve patent infringement scans. Pricing starts at $99 per scan with free and paid tier options available.

## 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:** other
- **Updated:** 2026-04-25

## Source

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

## 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": "claimhit"
    }
  }
}
```

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