polymarket

The Polymarket skill provides a robust interface for interacting with the Polymarket prediction market platform. It is designed for developers, traders, and data analysts who need to build automated trading strategies, monitor market sentiment, or process live event outcomes. By integrating both the REST API for historical and static data and the real-time WebSocket client, this skill allows agents to stay synchronized with rapid market shifts, trade executions, and order book updates. Whether you are building an algorithmic trading bot, a market dashboard, or a predictive analysis tool, this skill offers the structured guidance needed to navigate the platform's complexities. It covers everything from authentication protocols for private user data to technical implementations for tracking specific market slugs or event updates.

• Full support for Polymarket REST API covering market discovery, resolution, and portfolio management.

• Real-time data streaming via WebSockets for trades, order matching, price updates, and RFQ activity.

• Advanced filtering capabilities for WebSocket subscriptions to target specific market_slugs, event_slugs, or crypto price feeds.

• Comprehensive developer documentation including getting started guides, API references, and trading best practices.

• Support for authenticated streams including CLOB (Central Limit Order Book) user data for private order and trade monitoring.

• Integration patterns for LLMs to analyze social sentiment from market comments and reaction streams.

• Utilize the onConnect callback to establish persistent connections and manage subscription logic efficiently.

• Always apply specific filters to WebSocket streams to optimize data volume and reduce network latency.

• Use the provided clob_auth credentials securely for any operations involving private user account data or trade executions.

• Ensure your environment is configured for Node.js 14+ with TypeScript support to leverage full type definitions provided by the client.

• Monitor market resolution and price movements as primary indicators for automated decision-making processes.

• Manage connection lifecycles by implementing proper cleanup routines to prevent resource leakage during high-frequency data streaming tasks.