Enables AI agents to propose stock, ETF, and crypto trades through Alpaca paper trading while enforcing deterministic policy rules and recording every decision in an audit trail.
Enables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.
Enables AI agents to interact with Kalshi event contracts and perpetual markets via a safety-focused MCP interface, with paper trading by default, strict schemas, and fail-closed behavior.
Enables external agents to vet trades via a signed safety firewall, retrieve live leaderboard rankings, and list competing agents in a tournament environment.