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Polymarket API Integration Guide
Build Powerful Trading Applications from Scratch
Chris Rodriguez
Dec 14, 2025
10 min read
Introduction to the Polymarket API
The Polymarket API provides programmatic access to real-time market data, historical prices, order books, and trade execution. Whether you're building a custom analytics dashboard, automated trading bot, or research tool, the API offers the foundation for sophisticated applications.
Getting Started: Authentication
Polymarket uses API keys for authentication. Follow these steps:
- Create or log into your Polymarket account
- Navigate to Settings → Developer → API Keys
- Generate a new API key with appropriate permissions
- Store your API key securely—never expose it in client-side code
Core API Endpoints
Markets Endpoint
Retrieve all active markets with current probabilities, volume, and liquidity metrics.
Order Book
Access real-time bid/ask spreads and depth for any market.
Trades
Stream or query historical trades with filtering by time range, size, and wallet address.
Account
Retrieve your portfolio positions, balances, and transaction history.
Building a Real-Time Data Pipeline
For applications requiring live data, implement WebSocket connections:
- Price Updates — Subscribe to probability changes across selected markets
- Trade Feed — Receive instant notifications of executed trades
- Order Book Changes — Track liquidity shifts in real-time
- Market Events — Get alerts when markets are created or resolved
Building an Automated Trading Bot
Key considerations for algorithmic trading:
Rate Limiting
The API enforces rate limits. Implement request queuing and respect retry-after headers.
Order Types
Market orders execute immediately. Limit orders specify acceptable prices. Conditional orders trigger based on conditions.
Risk Management
Always implement position limits, stop-losses, and daily loss limits. Uncontrolled bots can cause significant losses.
Code Libraries
We provide open-source libraries in multiple languages:
- Python — Full-featured SDK with async support and pandas integration
- JavaScript/TypeScript — Node.js and browser-compatible client
- Go — High-performance client for latency-sensitive applications
- Rust — Memory-safe implementation for systems programming
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