Open-source Python quantitative finance MCP server for US stock and ETF research, options analytics, implied volatility, Monte Carlo simulation, AI prediction, backtesting, and risk analysis.
Ensure client trust with automated governance, risk, and compliance
Certify whether an AI agent is safe to operate your internal web application before production rollout. Author a YAML task suite against your own app, run it with Playwright, and gate CI/CD on a forbidden-action safety score.
Risk governance for AI outputs and actions: allow / scale / abstain verdicts, CVaR policies over user-defined costs, and auditable, re-verifiable decision records.
AI is moving from infotainment into steering, braking, and other core driving functions, raising safety questions that matter far beyond one market. Traditional testing rules are no longer enough, Irene Chuang, senior business manager for Industrial Services …
