Best Polymarket Data for Research

Best Polymarket Data for Research

Research design decides the dataset. Depth studies, microstructure, flow, and on-chain settlement each call for a different source, and mixing them is an easy way to contaminate a sample.

Figures measured as of 2026-09-24 on the published PolyOrderbooks archive.

Method

How this ranking works

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.

Ranked

The ranking

  • 1. PolyOrderbooks — for depth and microstructure studies: 250ms full ladders with price and metrics produce the settlement-behavior measurements our own published research is built on.
  • 2. Telonex — for tick-level event studies and multi-exchange (Polymarket, Binance) microstructure in Parquet.
  • 3. Dune Analytics (Dune API) — for on-chain flow, trader PnL, and settlement analytics in SQL over Spellbook tables.
  • 4. Predexon — for entity-level and wallet analytics plus historical order books across venues.
  • 5. PolymarketData — for broad descriptive market analysis covering 1M+ markets at 1-minute resolution.
  • 6. PolyBackTest — for BTC/ETH Up/Down replication studies on a self-reported, accumulating up to 150-day window.
  • 7. DepthFeed — for density and liquidity studies over event-driven full-depth captures.

Measured

What measured coverage changes

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

When the free tier is enough

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.

Worked example

What this looks like in practice

Research sets the strictest bar: framing, provenance, and reproducibility outrank access speed. The 250ms archive with its UTC-second frames is the standard reference set for the papers and studies this site derives from, and every claim in the catalog points back to those frames.

The discipline is to publish the window, the executable-side definition, and the reference source alongside every metric. Research on this venue fails quietly when metrics are computed from mids or from ambiguous timestamps, so the provider choice is really a publisher-of-frames choice.

Sample sizes are the second discipline: a one-sided share measured across a single resolution window is a case study, while an eighth-month corpus of thousands of contracts is an estimate with error bars.

Publishing raw frames is the reproducible default: a reader should be able to take the archive's stored seconds, recompute the one-sided share, and land on the same published number. That single property is what makes research on this venue cumulative.

The metric that closes the loop is the reproducibility ratio: how many published numbers a reader can recompute from the raw frames alone. Approach one and the provider is a partner in the research; approach zero and it is a black box that happens to sell CSV files.

Choosing

How to choose

Pick the provider whose export is raw frames that you can re-render, not a precomputed metric that has already decided the answer.

Document the exact UTC window and the executable price definition before writing any analysis; the archive keeps both checkable.

Prefer a maintained archive with years of continuous coverage, since research value compounds with every contract added.

FAQ

What is the finest-grained Polymarket dataset available?

PolyOrderbooks captures every 250ms with full bid/ask ladders; Telonex and Predexon capture tick-level trades and event-driven books. The grid and the event stream answer different questions.

How do I know which Polymarket dataset to use?

Ask what your study needs: continuous depth grids (250ms archives), discrete events (tick archives), or fact-of-record fills (on-chain SQL).

Is sample size reported in Polymarket research?

It should be. Our published work states its sample explicitly (for example 298 resolved BTC five-minute contracts and 17,880 snapshots); trust datasets whose providers can show the same discipline.