Polymarket CLOB API Server
APIFreeExpose Polymarket's public Central Limit Order Book REST API as callable tools for LLM-powered IDEs and agents. Query markets, fetch market details, and integrate prediction market data seamlessly into your AI workflows without requiring authentication. Deploy easily with Docker or any ASGI-compatib
Capabilities4 decomposed
market query execution
Medium confidenceThis capability allows users to execute queries against the Polymarket Central Limit Order Book (CLOB) via a REST API. It leverages a stateless architecture that enables seamless integration with LLM-powered IDEs and agents, allowing for real-time market data retrieval without requiring user authentication. The API is designed for high scalability and can be deployed on any ASGI-compatible platform, ensuring fast access to market information.
Utilizes a REST API design that is stateless and does not require authentication, simplifying integration for developers.
More accessible than other prediction market APIs as it allows unauthenticated access to public data.
market detail fetching
Medium confidenceThis capability enables users to fetch detailed information about specific markets, including odds, volumes, and market status. It employs a straightforward RESTful approach that allows for quick retrieval of market details, making it easy for developers to integrate this data into their applications without complex authentication flows. The design ensures that data is returned in a structured format, facilitating easy parsing and use.
Focuses on providing detailed market information through a simple RESTful interface, enhancing usability for developers.
Faster access to market details compared to other APIs that require complex authentication.
prediction market integration
Medium confidenceThis capability allows developers to seamlessly integrate prediction market data into their AI workflows. It uses a modular design that supports various integration points, enabling developers to pull in market data for decision-making processes or predictive analytics. The API's design allows for easy orchestration with LLMs, facilitating the creation of intelligent applications that leverage real-time market insights.
Designed specifically for easy integration with LLMs, allowing for dynamic use of prediction market data in AI applications.
More streamlined for LLM integration compared to traditional prediction market APIs.
scalable deployment
Medium confidenceThis capability provides a scalable deployment option for the Polymarket API using Docker or any ASGI-compatible platform. It allows developers to easily set up and manage the API in various environments, ensuring that it can handle high loads and provide fast responses. The architecture is designed to be lightweight and efficient, making it suitable for both small-scale and large-scale applications.
Utilizes Docker for easy deployment and scalability, making it adaptable to various infrastructure setups.
More flexible deployment options compared to other prediction market APIs that may require specific hosting environments.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with Polymarket CLOB API Server, ranked by overlap. Discovered automatically through the match graph.
Polymarket
Discover and filter Polymarket prediction markets and events by tags, volume, liquidity, and activity. Analyze individual markets with probabilities, market health, and recent trade insights to inform decisions. Track trends across categories to spot opportunities and compare sentiment over time.
Prediction market analysis app layering LLMs with data APIs
I created a prediction market analysis app after trying prediction markets and doing quite poorly. I wondered if AI-driven predictions could be better with the right data. Depending on the model you use the answer swings wildly between definitely not and yes. Gemini 3 Flash and Sonnet have done well
graph-polymarket-mcp
MCP server for querying Polymarket prediction market data via The Graph subgraphs. Exposes 9 tools that AI agents (Claude, Cursor, etc.) can use to query market data, trader P&L, positions, activity, and orderbook trades. Prerequisites You need a free Graph API key (takes ~2 minutes): Go to The G
dflow-mcp
Access real-time and historical https://kalshi.com prediction market data across events, markets, and trades. Analyze forecasts and candlestick time series to track sentiment and price action. Search and filter by tickers, mints, categories, and sports to quickly find the data you need.
polymarket-mcp-server
🤖 AI-Powered MCP Server for Polymarket - Enable Claude to trade prediction markets with 45 tools, real-time monitoring, and enterprise-grade safety features
nephyr-backtest
Strategy backtesting with real on-chain Polymarket data. Backtest weather-based prediction market strategies, simulate copy-trading top wallets, and query available historical data. Validate your strategies against real market outcomes before risking capital.
Best For
- ✓developers integrating prediction markets into AI workflows
- ✓data scientists analyzing prediction market trends
- ✓AI developers building predictive models using market data
- ✓DevOps engineers deploying APIs in cloud environments
Known Limitations
- ⚠Limited to public market data; no user-specific data retrieval available.
- ⚠Only supports public market details; no private or user-specific data.
- ⚠Requires external handling of data persistence; API does not store historical data.
- ⚠Performance may vary based on the underlying infrastructure and network conditions.
Requirements
Input / Output
UnfragileRank
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About
Expose Polymarket's public Central Limit Order Book REST API as callable tools for LLM-powered IDEs and agents. Query markets, fetch market details, and integrate prediction market data seamlessly into your AI workflows without requiring authentication. Deploy easily with Docker or any ASGI-compatible platform for fast, scalable access.
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