Adversarial Regulatory Arbitrage

Name: Adversarial Regulatory Arbitrage
Author: apifyforge

@apifyforge

代码仓库主页文档

关于 Adversarial Regulatory Arbitrage

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

基本信息

分类

其他

许可证

MIT

发布者

apifyforge

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "adversarial-regulatory-arbitrage-mcp": {
      "url": "https://ryanclinton--adversarial-regulatory-arbitrage-mcp.apify.actor/mcp"
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Adversarial Regulatory Arbitrage?

Adversarial Regulatory Arbitrage is an MCP server that detects multi‑jurisdiction shell layering, traces ultimate beneficial ownership through circular corporate structures, and models regulatory‑strategy dynamics. It orchestrates 17 live data sources and applies 8 analytical tools, including Stackelberg GNEP enforcement games, Tarjan SCC cycle detection, and GAN adversarial co‑evolution. It is built for compliance teams, financial crime investigators, and AI workflows.

How to use Adversarial Regulatory Arbitrage?

Add the server URL and Bearer token to any MCP‑compatible client (Claude Desktop, Cursor, Windsurf, Cline) via JSON configuration. The server uses MCP Streamable HTTP transport and runs on Apify Standby with no cold start. Each tool call costs $0.045 (pay‑per‑event) and returns structured JSON.

Key features of Adversarial Regulatory Arbitrage

Parallel multi‑registry search across 17 data sources in a single tool call.
Ownership graph construction with confidence‑scored edges from global registries.
Tarjan SCC cycle detection for circular ownership structures.
Bayesian shell‑company risk scoring against 10 FATF‑derived indicators.
Stackelberg GNEP enforcement game simulation for regulatory competition.
GAN adversarial co‑evolution to reveal novel evasion strategies.
Structured JSON output with spending controls per run.

Use cases of Adversarial Regulatory Arbitrage

Corporate due diligence and M&A risk assessment by resolving beneficial ownership across multiple registries.
AML and financial crime investigation using shell‑company risk scoring and hypergraph minimum cut.
Regulatory strategy and tax planning intelligence via mapper TDA topology and convergence forecasting.
Enforcement game analysis for policy research on jurisdictional tax competition.
AI agent financial crime workflows as part of automated KYC/AML pipelines.
Investigative journalism and OSINT for cross‑referencing corporate structures across public registers.

FAQ from Adversarial Regulatory Arbitrage

What data sources does the server access?

It accesses 17 live sources, including UK Companies House, US OFAC sanctions, SEC EDGAR, GLEIF LEIs, EU VAT, OpenCorporates, Canada/Australia/NZ registries, OpenSanctions, Interpol, and more.

How much does it cost to use?

Each tool call costs $0.045, with no subscription or monthly minimums. You can set a per‑run budget cap that stops the server cleanly when reached.

What transport and authentication does it use?

The server uses MCP Streamable HTTP transport. Authentication is via a Bearer token (Apify token) sent in the Authorization header.

How does the server handle circular ownership?

It implements Tarjan SCC cycle detection and resolves effective share ownership using a polynomial system (I‑A)^{-1}d with Gauss‑Seidel iteration, then traces ultimate beneficial ownership via depth‑first search with Monte Carlo estimation.

What are the runtime requirements?

The server runs on Apify Standby — always on with sub‑second MCP connection and no cold start. No local installation or separate API keys are required beyond the Apify token.