# didit-face-match

> didit-face-match — rosasalberto-didit-face-match. Use this tool when you need to compare two facial images to verify identities or detect matches. The Didit Face Match API takes two image inputs and returns a similarity score, solving problems such as identity verification, duplicate detection, and facial recognition. It is ideal for use cases requiring accurate face comparison, such as security, authentication, and data validation.

Canonical page: https://skillsregistry.net/skills/rosasalberto-didit-face-match  
JSON: https://api.skillsregistry.net/v1/skills/rosasalberto-didit-face-match

## Description

Integrate Didit Face Match standalone API to compare two facial images.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/rosasalberto-didit-face-match)

## 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": "rosasalberto-didit-face-match"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rosasalberto-didit-face-match` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rosasalberto-didit-face-match/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