Polymarket data tools and APIs give developers structured access to markets, prices, trades and wallet history without scraping the site. They cover the official CLOB and Gamma endpoints along with third-party datasets, SDKs and subgraphs that fill in what the official APIs leave out. Builders use them for backtesting, dashboards, bots and research, and to reach historical data the front end never exposes.
PolyOrderBooks archives historical L2 order books for Polymarket crypto markets, so your backtests reflect real depth and slippage.
Traders who want a second opinion on Polymarket odds get daily AI probability assessments, timestamped and scored for accuracy.
Predexon gives developers one API to read data and execute trades across Polymarket, Kalshi, and four other prediction market venues.
Traders who want to copy top Polymarket wallets or spot fading opportunities use Polymarket Analytics to search on-chain performance data across every market and position.
Researchers use TickFoundry to download tick-level Polymarket order book history and trade data for backtesting.
Developers and AI agents get full terminal access to Polymarket markets, order books, trades, and on-chain operations through a single Rust-based CLI.
Simmer Markets gives AI agents a single API to register, trade, and compete across Polymarket and Kalshi prediction markets.
Polybacktest provides granular historical order book data to help traders simulate strategy performance on Polymarket with high precision.
Predikt pulls fragmented prediction markets into one protocol so traders and developers can access liquidity, execution, and data across chains without juggling separate platforms.
Kairos pulls live data and order execution from Polymarket and Kalshi into one low-latency terminal for serious traders.
Struct indexes all of Polymarket's on-chain history and serves it through a unified API, real-time streams, and pre-computed analytics.
PMXT gives developers one consistent API to trade and pull data across multiple prediction market platforms.
Quant traders and bot builders get millisecond-level Polymarket order book data and a realistic backtesting engine to test strategies before risking capital.
Tracks pizza shop foot traffic near the Pentagon and pairs it with live Polymarket odds as an early tension gauge.
Open-source Python market-making and arbitrage bot for Polymarket sports, MIT-licensed, with a public on-chain track record you can verify.
Polyfactual combines live prediction market data with AI to give traders and developers instant research, analysis, and trading tools across Polymarket and Kalshi.
PolyNode streams decoded Polymarket fills and settlements before onchain confirmation, with enriched metadata and over one billion historical fills.
Quant teams backtest and trade live with the same strategy code using this open-source Rust and Python trading engine.
Polymarket publishes a full REST API and settles on a public chain, so every market, order, trade and position is there to be read. The tools here are what sits between that and something you can actually work with.
Wrapper libraries handle auth, pagination and rate limits so you spend the day on the analysis instead of the plumbing. Some go further and hand you the dataset already built: probability series for every resolved market, holder statistics, correlation matrices, ready to load into a notebook or a database.
If you are building a bot, a dashboard or a research project, the data layer decides whether your first week goes into the idea or into API quirks. What follows covers raw endpoints through to packaged datasets and SDKs.
What actually separates one from another, before you connect anything.
Polymarket's own endpoints are authoritative and free. Third-party datasets exist to fill gaps: long history, normalised schemas, and joins the official APIs do not do for you.
Live prices are easy to get anywhere. Resolved markets going back years is the part that is genuinely hard, and it is what backtesting needs.
Check them before designing around a source. A limit that is generous for a dashboard can be useless for a bot polling many markets.
Websocket streams and REST polling suit different jobs. Streams cost more to run and are the only sensible choice if you are reacting to the book.
Ask how breaking changes are handled. An endpoint that silently renames fields will take your bot down at the worst moment.
If anything you build is public or commercial, read the terms on the data before you ship. Free to query and free to redistribute are not the same permission.
What people ask before picking data & apis.
Yes. There is an order book API for trading and market data, and a separate service for market metadata and events. Both are documented and usable without special access, which is why an ecosystem of third-party tools exists.
For reading public market data, generally not. Placing orders requires credentials tied to the wallet that will hold the position, because the order has to be signed.
Yes, though this is where third-party datasets earn their place. Reconstructing deep history from the official endpoints is possible and tedious, and several tools have already done it.
Yes, and it is the constraint most projects hit first. Cache aggressively, subscribe to streams instead of polling where you can, and design so a throttled response is survivable rather than fatal.
Python has the most existing Polymarket code, including open-source trading frameworks you can read. TypeScript is well supported too. The APIs are plain HTTP, so anything works.
Guides and deep-dives for Data & APIs.
Compare Polymarket tools directories side by side. Find trading bots, analytics dashboards, whale trackers and APIs, plus safety checks before you connect.
Free Polymarket open source tools and trading bots on GitHub. Datasets, backtesters, copy trading, weather bots, and AI agents, with links and safety tips.
A practical guide to Polymarket CLI commands and features. Install it, browse markets, read order books, place orders, and pipe JSON output for scripts and AI agents.
A clear guide to the Polymarket Builders Program. Learn how builder codes, builder fees, and weekly USDC rewards pay developers for routed prediction market volume.
Read the XTracker API, compare counts to live Polymarket odds, and learn what moves Elon Musk's tweet volume each week.
Keep exploring the directory.
Dashboards that read Polymarket order books and on-chain settlement, so you can see depth…
31 toolsSoftware that places, hedges and rebalances Polymarket positions for you, from copy tradi…
45 toolsProfessional front-ends for Polymarket with ladder entry, one-click execution, live depth…
47 toolsTools that pull your Polymarket positions from the chain and show cost basis, open exposu…
11 toolsWatchers that tell you when a Polymarket price crosses a level, a whale takes a side, or…
12 toolsScanners that compare the same outcome across Polymarket, Kalshi and sportsbooks and flag…
4 toolsAI assistants, forecast aggregators and news trackers that help you decide what a Polymar…
11 toolsRead-only overlays that add depth, holders and your own position data to the Polymarket s…
2 toolsProp firms that fund Polymarket traders after an evaluation, so you trade their capital u…
4 toolsTrading agents, LLM forecasting and AI research built for Polymarket, from advisory tools…
13 toolsPrediction market venues and Polymarket alternatives, from regulated exchanges like Kalsh…
33 tools
