polymarket

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Comprehensive Polymarket skill covering prediction markets, API, trading, market data, and real-time WebSocket data streaming. Build applications with Polymarket services, monitor live trades, and integrate market predictions.

177stars🔀28forks📁View on GitHub🕐Updated Dec 17, 2025

When & Why to Use This Skill

This comprehensive Polymarket skill empowers developers to build, monitor, and scale applications on the world's leading prediction market platform. It provides expert guidance on integrating the Polymarket REST API and WebSocket client, enabling real-time data streaming, automated trading execution, and deep market analysis with full TypeScript support.

Use Cases

  • 1. Real-time Market Monitoring: Build live dashboards to track trades, order book updates, and price movements for specific events using WebSocket subscriptions.
  • 2. Automated Trading Systems: Develop and deploy algorithmic trading strategies by leveraging the CLOB (Central Limit Order Book) API and secure authentication protocols.
  • 3. Sentiment & Social Analysis: Monitor real-time market comments and reactions to gauge public sentiment and its correlation with market volatility.
  • 4. Custom Data Integration: Fetch and process crypto price feeds and market resolution data to power external decentralized applications or financial research tools.
namepolymarket
descriptionComprehensive Polymarket skill covering prediction markets, API, trading, market data, and real-time WebSocket data streaming. Build applications with Polymarket services, monitor live trades, and integrate market predictions.

Polymarket Comprehensive Skill

Complete assistance with Polymarket development - covering the full platform (API, trading, market data) and the real-time data streaming client (WebSocket subscriptions for live market activity).

When to Use This Skill

This skill should be triggered when:

Platform & API:

  • Working with Polymarket prediction markets
  • Using Polymarket API for market data
  • Implementing trading strategies
  • Building applications with Polymarket services
  • Learning Polymarket best practices

Real-Time Data Streaming:

  • Connecting to Polymarket's WebSocket service
  • Building prediction market monitoring tools
  • Processing live trades, orders, and market updates
  • Monitoring market comments and social reactions
  • Tracking RFQ (Request for Quote) activity
  • Integrating crypto price feeds

Quick Reference

Real-Time Data Client Setup

Installation:

npm install @polymarket/real-time-data-client

Basic Usage:

import { RealTimeDataClient } from "@polymarket/real-time-data-client";

const onMessage = (message: Message): void => {
    console.log(message.topic, message.type, message.payload);
};

const onConnect = (client: RealTimeDataClient): void => {
    client.subscribe({
        subscriptions: [{
            topic: "activity",
            type: "trades"
        }]
    });
};

new RealTimeDataClient({ onMessage, onConnect }).connect();

Supported WebSocket Topics

1. Activity (activity)

  • trades - Completed trades
  • orders_matched - Order matching events
  • Filters: {"event_slug":"string"} OR {"market_slug":"string"}

2. Comments (comments)

  • comment_created, comment_removed
  • reaction_created, reaction_removed
  • Filters: {"parentEntityID":number,"parentEntityType":"Event"}

3. RFQ (rfq)

  • Request/Quote lifecycle events
  • No filters, no auth required

4. Crypto Prices (crypto_prices, crypto_prices_chainlink)

  • update - Real-time price feeds
  • Filters: {"symbol":"BTC"} (optional)

5. CLOB User (clob_user) ⚠️ Requires Auth

  • order - User's order updates
  • trade - User's trade executions

6. CLOB Market (clob_market)

  • price_change - Price movements
  • agg_orderbook - Aggregated order book
  • last_trade_price - Latest prices
  • market_created, market_resolved

Authentication for User Data

client.subscribe({
    subscriptions: [{
        topic: "clob_user",
        type: "*",
        clob_auth: {
            key: "your-api-key",
            secret: "your-api-secret",
            passphrase: "your-passphrase"
        }
    }]
});

Common Use Cases

Monitor Specific Market:

client.subscribe({
    subscriptions: [{
        topic: "activity",
        type: "trades",
        filters: `{"market_slug":"btc-above-100k-2024"}`
    }]
});

Track Multiple Markets:

client.subscribe({
    subscriptions: [{
        topic: "clob_market",
        type: "price_change",
        filters: `["100","101","102"]`
    }]
});

Monitor Event Comments:

client.subscribe({
    subscriptions: [{
        topic: "comments",
        type: "*",
        filters: `{"parentEntityID":12345,"parentEntityType":"Event"}`
    }]
});

Reference Files

This skill includes comprehensive documentation in references/:

Platform Documentation:

  • api.md - Polymarket API documentation
  • getting_started.md - Getting started guide
  • guides.md - Development guides
  • learn.md - Learning resources
  • trading.md - Trading documentation
  • other.md - Additional resources

Real-Time Client:

  • README.md - WebSocket client API and examples
  • llms.md - LLM integration guide
  • llms-full.md - Complete LLM documentation

Use view to read specific reference files for detailed information.

Key Features

Platform Capabilities: ✅ Prediction market creation and resolution ✅ Trading API (REST & WebSocket) ✅ Market data queries ✅ User portfolio management ✅ Event and market discovery

Real-Time Streaming: ✅ WebSocket-based persistent connections ✅ Topic-based subscriptions ✅ Dynamic subscription management ✅ Filter support for targeted data ✅ User authentication for private data ✅ TypeScript with full type safety ✅ Initial data dumps on connection

Best Practices

WebSocket Connection Management

  • Use onConnect callback for subscriptions
  • Implement reconnection logic for production
  • Clean up with disconnect() when done
  • Handle authentication errors gracefully

Subscription Strategy

  • Use wildcards ("*") sparingly
  • Apply filters to reduce data volume
  • Unsubscribe from unused streams
  • Process messages asynchronously

Performance

  • Consider batching high-frequency data
  • Use filters to minimize client processing
  • Validate message payloads before use

Requirements

  • Node.js: 14+ recommended
  • TypeScript: Optional but recommended
  • Package Manager: npm or yarn

Resources

Official Links

Working with This Skill

For Beginners: Start with getting_started.md for foundational concepts.

For API Integration: Use api.md and trading.md for REST API details.

For Real-Time Data: Use README.md for WebSocket client implementation.

For LLM Integration: Use llms.md and llms-full.md for AI/ML use cases.

Notes

  • Real-Time Client is TypeScript/JavaScript (not Python)
  • Some WebSocket topics require authentication
  • Use filters to manage message volume effectively
  • All timestamps are Unix timestamps
  • Market IDs are strings (e.g., "100", "101")
  • Platform documentation covers both REST API and WebSocket usage

This comprehensive skill combines Polymarket platform expertise with real-time data streaming capabilities!