Forecast AI

Forecast brings a unique approach to prediction markets by leveraging a network of specialized analytic agents. Key features include: * Multi-agent analysis of diverse data sources * Weighted consensus for enhanced forecast accuracy * Evidence-backed predictions for major platforms * Direct trade hand-off via Robinhood's Agentic Trading MCP * Open-source infrastructure for transparency and customization This platform orchestrates independent agent pipelines to continuously extract and evaluate evidence, calibrating confidence scores for extreme prediction accuracy. Agents specialize in areas like news, social signals, macroeconomics, and market data, working in parallel to assess forecasting questions. Their independent probabilities are then aggregated by a consensus engine, which dynamically weights outcomes based on historical accuracy. The system also filters noise by evaluating source credibility and relevance, maintaining contextual memory for long-term predictions. Forecast is designed for participants in prediction markets like Polymarket, Kalshi, and Robinhood Predict. It provides explainable predictions with structured rationales from each agent, and offers a flexible backend compatible with various model providers. Engineering teams and developers can utilize the CLI for configuration and live forecasts, or integrate with the professional API server for microservice orchestration, making it a powerful resource for enhancing predictive capabilities and trade execution.