Polling Bias & EV Engine MCP Connector for Claude
A+A deterministic pricing engine that adjusts polling data for historical bias and calculates Expected Value (EV) for prediction markets.
This MCP server provides a mathematical bridge between raw polling data and prediction market pricing. It allows AI agents to correct for known historical polling errors and temporal uncertainty to find mispriced opportunities. By using calculate_adjusted_probability, agents can derive a refined likelihood of an outcome. Then, by calling evaluate_market_opportunity, they can determine if the current market price offers a statistically significant Expected Value (EV) for a trade. The engine also provides get_market_summary to quickly identify if a market is underpricing or overpricing a candidate based on the raw poll.
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