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Documentation Index

Fetch the complete documentation index at: https://pond.dflow.net/llms.txt

Use this file to discover all available pages before exploring further.

In a prediction market, users trade on the outcome of a real-world event, expressed as a yes or no question (for example, “Will the Boston Red Sox win the World Series?”). DFlow tokenizes Kalshi prediction markets on Solana. Kalshi markets span crypto, sports, politics, weather, and more. Each outcome becomes an SPL token that users buy, sell, and redeem through the same API used for spot trading. Because outcome tokens are standard SPL tokens, they’re composable with the rest of the Solana ecosystem. Users can trade in and out before a market resolves or use their positions as collateral in lending protocols, and you can build portfolio tools, automated strategies, and secondary trading on top.

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Prediction Markets 101

How prediction markets work, who runs them, and why they’re traded onchain.

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Data Model

Series, events, markets, and outcome tokens, and how they relate.

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Quickstart

Build a Kalshi prediction market integration end to end.