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

What data will you get?

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Prediction Market Exchanges
Access supported prediction market exchanges such as Polymarket, Kalshi, Myriad, and Manifold. Get exchange identifiers, venue descriptions, and official website details.
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Market Listings
Retrieve full market records by exchange, including market IDs, titles, descriptions, outcome names, prices, status, exchange IDs, and outcome types.
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Active Market IDs
Get compact lists of currently active market IDs for each exchange. This is useful when you need fast discovery before requesting full market details.
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Latest Market Activity
Access the latest trade and latest quote for a specific market outcome. Use this data to monitor current price movement, bid/ask levels, and recent activity.
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Recent Trades and Quotes
Retrieve recent batches of trades and quotes for a market. This helps analyze short-term activity, liquidity changes, and market movement.
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Historical Trades and Quotes
Pull historical trade and quote data from flat files using a full-day date query or a bounded time range. Data is filtered by processing time and includes exchange event timing.
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OHLCV Time Series
Retrieve open, high, low, close, volume, and trade count data for prediction markets. Historical OHLCV data is returned in ascending time order for backtesting and analysis.
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Latest OHLCV Candles
Access the most recent OHLCV candles for a specific market and period. Supported periods range from seconds and minutes to hours, days, months, and years.
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Order Book Data
Get current order book snapshots with bids and asks for a specific market outcome. Use this data to analyze liquidity, spreads, market depth, and order book imbalance.
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MCP Access for AI Agents
Use the hosted FinFeedAPI Prediction Markets MCP server to query exchanges, markets, activity, order books, and OHLCV data through AI tools and MCP-compatible clients.

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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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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