Tutorials, guides, and best practices for building with prediction market data. Learn how to integrate Polymarket, Kalshi, and Gemini APIs into your applications.
Build a complete Python trading bot that monitors prediction markets, detects arbitrage opportunities, and sends alerts — step by step with a reusable PropheseerClient class.
Integrating with Polymarket, Kalshi, and Gemini separately means three authentication systems, three data schemas, and three sets of rate limits. A unified API collapses all of that into a single integration.
Polymarket and Kalshi are the two dominant prediction market platforms, but their APIs differ significantly. This guide compares everything developers need to know — from data formats to rate limits.
Polymarket, Kalshi, and Gemini each structure their market data differently. Learn how data normalization creates a consistent schema that simplifies integration and enables cross-platform analysis.
Go from zero to live prediction market data in under 5 minutes. Create an account, grab your API key, and make your first request with curl, Python, or JavaScript.
A comprehensive guide to understanding prediction markets, how they work, their proven accuracy, and how developers can leverage prediction market data through APIs.