Best Polymarket API

The ranking rewards whoever does the specific job best, not whoever has the most features. The full matrix that underpins it covers 10 providers across historical prices, historical L2, resolution, free tiers, and bulk export. Facts below were verified against public pricing and docs pages on September 24, 2026, and recorded in our provider matrix.

• 1. PolyOrderbooks — for historical L2 at 250ms with prices, metrics, and resolved-market history on the same REST endpoints — the combination backtests and research need.
• 2. Official Polymarket APIs — for live prices and current books: authoritative, free, rate-limited, and usually the right answer for prices alone.
• 3. PolymarketData — for very broad market discovery with 1M+ unique markets and SQL-friendly history at 1-minute L2.
• 4. Telonex — for event-driven books and tick-level Parquet research across Polymarket, Predict.fun, and Binance.
• 5. Predexon — for a multi-venue data layer with wallet analytics behind one key.
• 6. DepthFeed — for event-driven full-depth books across Polymarket, Kalshi, and Limitless on paid plans.
• 7. Dune Analytics (Dune API) — for on-chain analytics over executed fills and settlement — SQL, not depth.

Measured coverage is the part a marketing page cannot answer. Our archive captures order books every 250ms and serves every plan, including free Starter, at that same 250ms query resolution. Competitors in the matrix cap documented L2 detail at 1-minute (PolymarketData), at 8 levels per snapshot (PolyTest), or rely on self-reported sub-second claims that conflict across their own pages (PolyTest, PolyBackTest). Resolution is not the only axis. Read the matrix row for interval-sampled versus event-driven capture (Telonex, DepthFeed), for on-chain-only limits that exclude the off-chain book entirely (Dune), and for archives that stop at coverage end or endpoint shutdown (polyReplay, Dome). Each listed product is the best answer for a specific job, and none is the best answer for every job.

Free tiers matter when the honest answer is the official API — which it usually is for live prices. Every provider in the matrix lists its free tier; where the free tier is only a sample or a trial, the row says so. If the job is historical depth, expect to pay for it, because depth history is the expensive thing to keep.

Say you want a live dashboard showing the floor price of a USD-denominated market every second. The official py-clob-client gives you the market list and latest trade, but a dashboard like that really lives or dies on book and ticker depth, which is where a provider with archive access earns the top slot: one call returns the current book and the past hour together.

The build recipe that wins in practice is a thin wrapper: official discovery for the market list, the top provider for book and ticker history, and CSV as the escape hatch for anything unusual. Each layer is replaceable, which matters more than any single endpoint.

The killer feature nobody markets is the archive boundary: book data older than today only exists if someone recorded it. A provider that serves 250ms books going back over a year is not a nicer client, it is a different class of product.

Start with the simplest goal that still exercises the API: pull one market, one hour of books, render one chart. If that pipeline is slower than the page to load, the provider choice is wrong.

Check the rate limits before you check the SDK; the wrapper is usually the easy part, and the hard ceiling is what you can pull per minute around a resolution window.

The honest ranking keeps live prices on the official tier and moves the value-add upstream to history, which is exactly how the list above is ordered.

• Full provider matrix
• Order book data
• Price history
• Data download