Kalshi Launches AI Agent to Review Prediction Market Contract Risks

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Kalshi has launched an AI agent named 'Harrison' to assess contract risks in prediction markets, with a focus on elections and sports. Built on Anthropic’s Claude model, the tool assists in designing and testing over 500 market templates, gathering news, and suggesting new liquidity and crypto markets. The system supports compliance checks, particularly for complex events such as Supreme Court rulings. Kalshi’s standard process typically involves two personnel reviewing contracts, with 1–2 hours allocated to resolve issues. The AI also compares human judgments during market settlement. This initiative aligns with evolving regulatory frameworks such as MiCA (EU Markets in Crypto-Assets Regulation).

PANews, June 15: According to Bloomberg, U.S. derivatives trading platform Kalshi has developed an internal AI agent called "Harrison" to review the wording and sources of evidence for prediction market contracts on elections, sports events, and other topics, proactively identifying potential loopholes that could spark controversy. Built on Anthropic’s Claude model, the tool assists in designing and stress-testing over 500 market templates, aggregates news, analyzes competitor contracts, and provides recommendations for new markets and liquidity incentives. Currently, launching a new contract at Kalshi typically requires two personnel to fill out and review the rules, with a 1–2 hour window reserved for issue resolution. The AI also compares its own assessments with human judgments during contract settlement, particularly adding additional compliance reviews for complex events such as Supreme Court rulings.

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