One API for Top Prediction Markets

Access latest and historical data from the leading prediction markets — Polymarket, Kalshi, Myriad, and Manifold — all in one place. Pull complete order books, OHLCV candles, market metadata, and contract details through REST or JSON-RPC, without maintaining separate integrations.
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4
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Leading prediction market platforms
1,000
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Contracts in a single API call
100K
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Individual data points

How can I track trading activity and liquidity in prediction markets?

You can track trading activity and liquidity in prediction markets by using an API that provides structured access to trades, quotes, order books, and OHLCV time series. The FinFeedAPI Prediction Markets API allows you to analyze market participation, price movement, and liquidity over time by combining historical and latest data from platforms like Polymarket, Kalshi, Myriad, and Manifold through a single, normalized interface, making it easy to power analytics, dashboards, and research workflows without handling fragmented or unstructured data.
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What data will you get?

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Prediction Market Exchanges
Access supported prediction market exchanges such as Polymarket, Kalshi, Myriad, and Manifold. Exchange metadata includes identifiers, descriptions, and official websites.
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Market Listings
Retrieve full lists of prediction markets per exchange, including market titles, descriptions, outcome names, and current market status.
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Active Markets
Access lists of currently active market IDs based on recent trades and quotes. This data is optimized for tracking live and liquid markets.
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Historical OHLCV Data
Retrieve historical OHLCV time-series data for prediction markets with configurable periods and time ranges. Data is returned in time-ascending order for analysis and research.
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Latest OHLCV Snapshots
Access the most recent OHLCV data points for a specific market and period. This endpoint provides quick access to the latest price and volume information.
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Market Prices
Retrieve outcome-level prices representing market-implied probabilities. Prices are available for both historical analysis and current market monitoring.
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Order Book Snapshots
Access current order book snapshots with bids and asks for specific market outcomes. Order book data provides insight into available liquidity and market depth.
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Latest Trades and Quotes
Retrieve the most recent trade and quote for a given market outcome. This data reflects the latest market activity and price changes.
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Recent Trades and Quotes History
Access lists of recent trades and quotes to analyze short-term trading activity and liquidity patterns.
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Standardized Market Timestamps
All data is delivered with consistent, normalized timestamps across exchanges to support accurate comparison and aggregation.
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MCP support for simple integration

FinFeedAPI supports the Model Context Protocol (MCP), an open standard that makes our financial data easy for AI systems to understand and use.

This gives LLMs, agents, and automated tools direct access to stock, FX, prediction market, and SEC data without manual integration work.

Other benefits include:

  • AI-ready data: AI models can use FinFeedAPI data right away — no extra tools or special setup
  • One place to access everything: All FinFeedAPI products use the same MCP protocol.
  • Fewer mistakes: Clear data schemas help catch errors early, making your AI tools more stable
  • Automatic Updates: New data and endpoints show up instantly in your AI tools. No code changes needed.

Prediction Markets API allows you to...

Analyze market probabilities over time
Use historical and latest OHLCV data to track how market-implied probabilities change for specific outcomes across different time intervals.
Monitor trading activity and liquidity
Work with trades, quotes, and order book snapshots to study market participation, liquidity depth, and price movement.
Evaluate outcome-level market depth
Use order book data with bids and asks to analyze available liquidity, spreads, and depth for individual market outcomes.
Compare markets across platforms
Access normalized data from Polymarket, Kalshi, Myriad, and Manifold to compare prices, volume, and activity across exchanges.
Build analytics and forecasting tools
Combine historical market data, prices, and activity feeds to power dashboards, research workflows, and prediction models.

Use cases

Use case: Forecasting Political and Economic Events

Forecasting teams rely on accurate, structured prediction market data to analyze expectations around elections, policy decisions, and economic outcomes, but fragmented platforms and inconsistent market formats limit reliable analysis. Researchers and developers often struggle to source unified historical and current prediction market data through APIs that are flexible enough for forecasting and modeling workflows.

Learn how we solved that
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