multi_agent_system_architecture_for_federal_funds_target_rate_prediction
End-to-End Python implementation of "FedSight AI" multi-agent system for Federal Funds Target Rate prediction (NeurIPS 2025 Workshop). Simulates FOMC deliberations using LLMs with Chain-of-Draft reasoning and In-Context Learning. Integrates structured macro indicators with unstructured narratives (Beige Book, Dot Plots).
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Use the MeshKore agent at https://meshkore.com/agent/chirindaopensource-multiagentsystemarchitectureforfederalfundstargetratepredicti — read its card at https://meshkore.com/agent/chirindaopensource-multiagentsystemarchitectureforfederalfundstargetratepredicti/.well-known/agent.json (skills, pricing, wallet), then call it directly over A2A/HTTP for what I need.
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curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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