#risk-management

Deterministic risk governance for crypto trading agents. Answers "How much can I risk?" with policy level, max position size, leverage limits, and blocked actions — computed from 9+ real-time data sources (on-chain, derivatives, macro, sentiment). Supports BTC and ETH. One tool: get_risk_policy.

Pre-trade risk validation and position sizing for AI trading agents. G-formula position sizing, Iron Fist risk rules, and System R Score evaluation. USDC micropayments via x402.

CPZAI MCP server. Build, backtest, and deploy quantitative trading strategies from your AI agent. 29 tools: list_strategies, get_strategy, create_strategy, update_strategy, get_backtest_results, list_orders, place_order, list_positions, sync_portfolio, plus dev-time tools. Multi-broker (Alpaca, Interactive Brokers, FIX gateway). Paper-only by default; live trading requires explicit per-strategy promotion. Free to try at ai.cpz-lab.com.

The Finance Toolkit gives AI assistants access to 200+ financial metrics, all calculated transparently from raw financial statements, not pulled from third-party endpoints.

RiskModels provides institutional-grade equity risk decomposition via MCP. Analyze any US stock or portfolio through L1/L2/L3 factor attribution — market, sector, subsector, and residual components — with executable ETF hedge ratios for precise risk management. Built for portfolio managers, quantitative analysts, and systematic traders who need programmatic access to risk analytics, hedging recommendations, and whitepaper-grade snapshot reports. All tools are read-only with transparent per-call pricing. Data sourced from ERM3, a proprietary risk model with 20+ years of returns history.