polymarket
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.
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.
| name | polymarket |
|---|---|
| description | 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. |
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 tradesorders_matched- Order matching events- Filters:
{"event_slug":"string"}OR{"market_slug":"string"}
2. Comments (comments)
comment_created,comment_removedreaction_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 updatestrade- User's trade executions
6. CLOB Market (clob_market)
price_change- Price movementsagg_orderbook- Aggregated order booklast_trade_price- Latest pricesmarket_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
onConnectcallback 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
- Polymarket Platform: https://polymarket.com
- Real-Time Client Repo: https://github.com/Polymarket/real-time-data-client
- API Documentation: See references/api.md
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!