Create optimized web search queries tailored to specific research tasks, using structured strategies and advanced techniques to enhance information retrieval efficiency for AI agents.
Identifies stocks with upcoming earnings and elevated implied volatility to find candidates for short-volatility strategies like iron condors and strangles.
Provides 10 structured reasoning strategies (Chain of Thought, ReAct, Tree of Thoughts, etc.) for complex problem-solving with session persistence, branching, and tool integration capabilities.
An MCP routing proxy that prevents LLMs from executing unintended tools. It securely curates, filters, and routes tools from multiple backend MCP servers. (LLMが意図しないツールを実行するのを防ぐMCPルーティングプロキシ。複数のバックエンドMCPサーバーからのツールを安全にキュレーション、フィルタリング、ルーティングします。)
Retrieve call usage statistics—total calls, pickup rate, duration, costs, unique users—with period comparisons. Filter by date, agent, campaign, or call type to analyze usage patterns and costs.
List all locally checked-out strategy workspaces to track active work across strategies. Use when you've lost track of which strategies are checked out.
Scan workspace files (package.json, README, TODOs) to generate a compact semantic summary for routing context. Call at session start or after major refactors.
Generate drone deployment and evacuation strategies using reinforcement learning for emergency incidents. Optimizes resource allocation and routing based on simulated disaster data to improve response effectiveness.