← Historical data

Dataset

PolymarketData

Query Polymarket historical metadata, prices, market metrics and L2 snapshots through an API or receive bulk exports.

Visit official sitepolymarketdata.co
Available on
REST API, Python, Parquet, CSV
Pricing
Trader, Pro and Ultra are self-service tiers

Screenshots and interface

What is PolymarketData?

PolymarketData is an API-first historical database organized around series, events and markets. It combines contract metadata and resolution outcomes with time-series observations, making it useful for repeatable research queries and pipelines that need more than a live market snapshot.

Who it is for

  • Researchers analyzing resolved and active markets
  • Data teams maintaining historical market panels
  • Applications requiring recurring exports or a custom data slice

Features and coverage

Available on
REST API, Python, Parquet, CSV
Markets & venues
Polymarket
  • Relational discovery

    Navigate series, events and individual markets.

  • Historical prices

    Retrieve recorded outcome-price time series.

  • Market metrics

    Query spread, volume and liquidity observations.

  • L2 snapshots

    Inspect recorded bid and ask depth.

  • Resolved-event data

    Join outcomes and historical contract state for research.

  • Multiple delivery formats

    Use REST, a Python client, or Parquet, CSV and JSON exports.

  • Custom delivery

    Arrange recurring S3 exports or a dataset bounded by date and category.

Workflows with PolymarketData

Build a research panel

Discover the required markets, retain their event and series relationships and query a common time range for prices and metrics.

Analyze liquidity around settlement

Join resolution metadata to historical books and examine spread and resting size over the final interval.

Run an internal data pipeline

Specify the required format, date range, delivery destination and update cadence for an export.

Pricing and total cost

Trader, Pro and Ultra are self-service tiers. Bulk delivery, derived datasets, custom pipelines and additional support are priced separately; select the request volume and granularity in the provider’s pricing interface.

Getting started

Before you start: The product describes one-minute historical observations; do not treat every stored series as an event-by-event feed.

  1. Read the API documentation and select the required data family.
  2. Create an account and API key.
  3. Discover a small set of markets.
  4. Request a bounded historical range and inspect its timestamps.
  5. Choose API pagination or export delivery based on workload size.

Open documentation

Useful links

What to check

  • The product describes one-minute historical observations; do not treat every stored series as an event-by-event feed.
  • Historical depth and trade-tape coverage are different data products.
  • Custom pipelines and derived datasets are not automatically included with Ultra.
  • Confirm the actual first observation of the selected market instead of assigning the headline archive start to every series.

A closer look

Ratings & reviews

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Editorial rating
3.5/ 5
0 user reviews

Our take on PolymarketData

Multiple historical delivery formats and separate coverage descriptions help scope data work. Observation frequency and separately priced custom products need matching to the intended analysis.

Based on documented features, setup and access terms. How we rate

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Frequently asked questions about PolymarketData

Can I query resolved markets?

The historical model includes resolved events and outcomes.

Do I need to build a permanent API integration?

The provider also supports exports and direct delivery.

Can it provide historical order books?

Yes. L2 snapshots are part of the documented data offering.

Does the highest self-service tier include a bespoke pipeline?

Custom delivery, derived datasets and additional support are scoped separately.