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Third-party API providing structured access to prediction market data including traders, markets, and positions.
The Polymarket Analytics API is an institutional-grade data service that provides deep visibility into the mechanics of the world’s largest prediction market.Originally developed as a third-party intelligence platform, it was acquired by PolyGun in 2026 to serve as the "data backbone" for professional prediction market participants.The API tracks over 2.3 million unique traders across Polymarket and Kalshi, indexing more than 119 million individual positions to surface patterns that raw on-chain data often obscures.
Unlike basic data feeds, this API focuses on "trader archetypes" and performance metrics. It allows developers to programmatically identify high-win-rate accounts (some documented as high as 96% on specific categories) and monitor "Smart Money" flows in real-time.By processing massive volumes of transaction logs, the API provides a 360-degree view of market health, including leaderboards, historical pnl (profit and loss) for specific wallets, and deep liquidity analysis across thousands of active markets.
The API is designed for analytics, dashboards, and research use cases rather than direct trade execution. It simplifies data ingestion pipelines by offering normalized and queryable datasets, enabling developers to build tools such as leaderboards, analytics dashboards, and trading signal systems.
Because it is not an official API, it acts as a convenience layer on top of publicly available or indexed data, often improving usability and reducing engineering overhead for data processing.
Raw prediction market data is difficult to process, requiring indexing, normalization, and infrastructure setup.
Access detailed data on markets, outcomes, and liquidity.
Explore web3 competitors and apps like Polymarket Analytics API.

Reliable RPC, powerful APIs, and zero hassle.
Polymarket Analytics API provides a convenient and structured way to access prediction market data without building custom indexers. It is particularly useful for analytics platforms, research tools, and data-driven applications.
Retrieve wallet-level activity and open positions.
Analyze past market performance and trends.
Build visual tools for market insights.
Rank users based on performance.
Analyze trends and prediction accuracy.
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