# adversarial-regulatory-arbitrage-mcp

> adversarial-regulatory-arbitrage-mcp — apifyforge-adversarial-regulatory-arbitrage-mcp. Use this tool when you need to detect regulatory arbitrage and trace beneficial ownership in complex financial transactions. It solves problems of non-compliance and hidden ownership by analyzing data through the Model Context Protocol. This tool takes in financial data and entity information as inputs and outputs risk assessments and ownership structures.

Canonical page: https://skillsregistry.net/skills/apifyforge-adversarial-regulatory-arbitrage-mcp  
JSON: https://api.skillsregistry.net/v1/skills/apifyforge-adversarial-regulatory-arbitrage-mcp

## Description

Regulatory arbitrage detection and beneficial ownership tracing for AI agents via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/apifyforge/adversarial-regulatory-arbitrage-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": "apifyforge-adversarial-regulatory-arbitrage-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apifyforge-adversarial-regulatory-arbitrage-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apifyforge-adversarial-regulatory-arbitrage-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