Tutorials, guides, and best practices for building with prediction market data. Learn how to integrate Polymarket, Kalshi, and Gemini APIs into your applications.
When the same event is priced differently on Polymarket and Kalshi, there's an arbitrage opportunity. Learn how detection works, use the Propheseer API to find opportunities automatically, and build your own scanner.
Build a real-time prediction market dashboard with React and Next.js that displays live prices, supports search and filtering, and updates automatically via WebSocket — complete with code you can deploy today.
Everything developers ask about prediction market APIs — from getting started and rate limits to platform differences and legal considerations — answered in one place.
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.