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Generate evidence-backed calibrated forecasts for resolvable questions using prediction-market signals.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-foresea" yet — see the docs or source repo.
Forecast the probability that this AI regulation bill will pass in the target country before year-end. Provide a calibrated percentage, key evidence, main drivers, and a comparison with related Polymarket or Kalshi market pricing.
A forecast with a probability value, plus evidence summary, market comparison, and reasoning.
Forecast the probability that our new feature will reach 100,000 monthly active users by the end of next quarter. Use comparable product history, current growth data, and external signals to produce a calibrated probability and key risks.
Probability of achieving the goal, supporting and opposing evidence, and a list of core outcome drivers.
Analyze the probability that a public company will beat earnings expectations next reporting season. Compare your forecast with prediction-market pricing and explain whether there is an exploitable information edge.
A probability forecast, divergence analysis versus market pricing, and a conclusion on possible forecasting edge.
Access live prediction market search, odds, trends, and arbitrage via MCP.
Query and trade across prediction markets through one unified API.
Connect to Kalshi API for markets, orders, portfolios, and historical data.
Access real-time prediction market consensus, probabilities, signals, opportunities, and settlements.
Access public Kalshi prediction market data for querying, analysis, and trend tracking.
Query Polymarket markets, events, narratives, and arbitrage opportunities through MCP.