Last updated: March 2026

Best Polymarket Data Tools (2026)

Polymarket data tools give you raw access to market history — every trade, probability movement, and event resolution. Whether you are building a backtest engine, training a prediction model, or just exploring what the data reveals about market behavior, these are the best tools for accessing Polymarket data at scale.

Top 3 Picks

Best OverallMost Active Development

🚀

Marketlens

Active

Polymarket historical order books and backtesting for trading bots.

polymarkethistorical datadata+5

416

🚀

ClickHouse

Active

Open-source

columnar OLAP database delivering blazing-fast analytics for large-scale

226

🚀

Token Terminal

Active

Full-stack onchain data platform standardizing financial metrics for blockchains and dApps using traditional finance KPIs and frameworks.

cli-tool

217

Which Data Tool Should You Use?

Your need	Best match
Historical price backtest data	Tools tagged "historical-data"
Real-time streaming data	Tools tagged "data-feed" or "websocket"
One-time dataset download	Tools with CSV/JSON export and archives
Programmatic data pipeline	Tools with REST API and good rate limits

How We Rank Data Tools

📦

Data Coverage

Depth of history, granularity, and market breadth

⚡

Freshness

How quickly the data reflects live market activity

🔌

Accessibility

API quality, documentation, and ease of export

✅

Reliability

Uptime, data accuracy, and maintenance track record

Frequently Asked Questions

How far back does Polymarket historical data go?▼

Polymarket launched in 2020. Some data providers have archives going back to near-launch, while others only retain recent months. Check each tool for its specific history window.

What format is Polymarket data typically in?▼

Most providers offer JSON via REST API or WebSocket. Some offer CSV downloads for bulk historical data. GraphQL is used by subgraph-based data services.

Can I use Polymarket data to train ML models?▼

Yes. Historical probability timelines, trade volumes, and event outcomes are well-suited for classification and calibration models. Several teams have used Polymarket data for prediction research.