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.
Adversarial Regulatory Arbitrage MCP Server
@apifyforge
基本情報
Adversarial Regulatory Arbitrage MCP Server について
Regulatory arbitrage detection and beneficial ownership tracing for AI agents via the Model Context Protocol.
Adversarial Regulatory Arbitrage MCP Server の設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"adversarial-regulatory-arbitrage-mcp": {
"url": "https://ryanclinton--adversarial-regulatory-arbitrage-mcp.apify.actor/mcp"
}
}
}Adversarial Regulatory Arbitrage MCP Server のツール
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
このサーバーは認証が必要です。ツールの取得にはログインや提供元の認証情報が必要な場合があります。
上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。
概要
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.
よくある質問
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.
「その他」の他のコンテンツ
Hindsight
vectorize-ioHindsight: Agent Memory That Learns
50.4K
N
Next Generation Movers: free moving quotes (remote MCP)
Next Generation MoversFree moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40
Handl
Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
LoadOptimizer
LoadOptimizer plans truck, container and pallet loads with a real optimization engine, straight from your AI assistant. Describe the order in plain language, for example "plan 36 Euro pallets on a standard 13.6 m trailer
YOUB
Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
コメント