---
url: "https://predictiontoolkit.com/tools/polymarketdata/"
publisher: "PredictionToolkit"
dateModified: "2026-11-02"
---

[← Historical data](<https://predictiontoolkit.com/polymarket-historical-data/>) 

![PolymarketData logo](<https://predictiontoolkit.com/assets/logo-tool-polymarketdata-ecff2032de5c.webp>)

Dataset

# PolymarketData: Historical Polymarket Data and Exports

PolymarketData provides historical Polymarket metadata, prices, market metrics and L2 order-book snapshots. Delivery options include REST, a Python client and bulk files for research or data pipelines.

[**3.5**/ 5Editorial rating](<https://predictiontoolkit.com/tools/polymarketdata/#reviews>) [Editorial assessment](<https://predictiontoolkit.com/tools/polymarketdata/#reviews>) 

[Open PolymarketData](<https://polymarketdata.co/>) polymarketdata.co

**Available on:** API

**Pricing:** [See plans and costs ↓](<https://predictiontoolkit.com/tools/polymarketdata/#pricing>) 

[Screenshots](<https://predictiontoolkit.com/tools/polymarketdata/#screenshots>) [Explore alternatives](<https://predictiontoolkit.com/tools/polymarketdata/#alternatives>) 

[Historical data](<https://predictiontoolkit.com/polymarket-historical-data/>) [Data APIs](<https://predictiontoolkit.com/polymarket-api/>) 

## Screenshots and interface

Product preview1 / 2

Historical-data access and delivery introduction.

## What is PolymarketData?

Discover series, events and markets, then join recorded prices, spread, volume, liquidity and resolution metadata. The documented observations are one-minute; do not treat every series as an event-by-event feed or assume historical book depth includes a full trade tape.

Self-service tiers are Trader, Pro and Ultra, with request volume and granularity selected in the pricing interface. Bulk delivery, derived datasets, custom pipelines and additional support are separately scoped. Confirm each market's first observation rather than assigning the headline archive start to every series.

### Who it is for

-   Researching resolved and active contracts.
-   Maintaining historical market panels.
-   Arranging recurring exports or bounded datasets.

## Features and coverage

-   **Relational discovery**
    
    Navigate series, events and markets.
    
-   **Price history**
    
    Retrieve recorded outcome-price series.
    
-   **Market metrics**
    
    Query spread, volume and liquidity observations.
    
-   **L2 books**
    
    Inspect recorded bid and ask depth.
    
-   **Resolved events**
    
    Join outcomes and historical contract state.
    
-   **Delivery formats**
    
    Use REST, Python, Parquet, CSV or JSON exports.
    
-   **Custom delivery**
    
    Arrange recurring S3 exports or date/category-bounded data.
    

## Workflows with PolymarketData

### Build a panel

Discover markets and retain series/event links; query a common period for prices and metrics.

### Study settlement liquidity

Join resolution metadata with books and examine spreads and resting size near settlement.

### Define a pipeline

Specify format, date range, destination and update cadence for exports.

## Pricing and total cost

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

## Getting started

**Before you start:** Historical depth and trade tapes are different products.

1.  Read documentation and select the dataset.
2.  Create an account and API key.
3.  Discover a small market set.
4.  Request a bounded history and inspect timestamps.
5.  Choose API pagination or export delivery to match workload.

One-minute historical observations are not necessarily an event-by-event feed.

[Read PolymarketData documentation](<https://www.polymarketdata.co/docs>) 

## Useful links

-   [View PolymarketData pricing](<https://www.polymarketdata.co/pricing>) 

### What to check

-   Historical depth and trade tapes are different products.
-   Ultra does not automatically include bespoke pipelines or derived data.
-   Actual first observations vary by market.
-   Observation frequency must match the intended analysis.

A closer look

## Ratings & reviews

Editorial rating

**3.5**/ 5

0 user reviews

PredictionToolkit editorial

### Our take on PolymarketData

Delivery formats and distinct coverage descriptions help scope historical work. Observation frequency and separately priced custom products must fit the analysis.

Based on documented features, setup and access terms. [How we rate](<https://predictiontoolkit.com/methodology/>) 

### User reviews 0

The main score switches to user ratings after 5 published reviews.

**Be the first to share your experience**

A specific example helps the next person choose the right tool.

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## Frequently asked questions about PolymarketData

### Are resolved markets included?

The historical model includes resolved events and outcomes.

### Must I maintain an API integration?

No. Exports and direct delivery are also supported.

### Are historical order books available?

Yes. L2 snapshots are documented.

### Does Ultra include a custom pipeline?

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

In this profile
