# solarys-fraud-detection-demo

> solarys-fraud-detection-demo — solarysgroup-solarys-fraud-detection-demo. Use this tool when you need to detect fraudulent activity using a multi-agent approach, solving problems of security and risk management in various applications. It takes in data inputs and outputs alerts and notifications, utilizing protocols such as MCP and A2A for seamless communication. Ideal for use cases requiring advanced fraud detection and prevention in financial, e-commerce, or other high-risk transactions.

Canonical page: https://skillsregistry.net/skills/solarysgroup-solarys-fraud-detection-demo  
JSON: https://api.skillsregistry.net/v1/skills/solarysgroup-solarys-fraud-detection-demo

## Description

Multi-agent fraud detection demo using Claude + Gemini over MCP and A2A protocols

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SolarysGroup/solarys-fraud-detection-demo)

## 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": "solarysgroup-solarys-fraud-detection-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/solarysgroup-solarys-fraud-detection-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/solarysgroup-solarys-fraud-detection-demo/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