← Historical data

Dataset

Probalytics

Query historical prediction-market trades and full-depth order books through ClickHouse SQL, REST, a Python SDK or Parquet exports.

Visit official sitewww.probalytics.io
Available on
REST API, ClickHouse SQL, Python SDK, Parquet
Pricing
Starter $39/month; Pro $129; Orderbook $249. Paid plans offer a 3-day trial covering the latest 7 days.

Screenshots and interface

What is Probalytics?

Probalytics is a historical data service for studying execution and market microstructure. It stores book states as they change and normalizes markets, fills and outcomes across Polymarket and Kalshi. Public samples and typed schemas let you inspect the data before choosing a plan; the order-book archive requires a higher tier than market and trade history.

Who it is for

  • Quants modeling fills against historical depth
  • Researchers joining markets and transactions in SQL
  • Developers who need reusable bulk datasets

Features and coverage

Available on
REST API, ClickHouse SQL, Python SDK, Parquet
Markets & venues
Polymarket, Kalshi
  • Full book ladders

    Query bids and asks at recorded state changes.

  • Precise timestamps

    Work with millisecond-level timing rather than coarse candles.

  • Cross-venue schema

    Use normalized market, outcome and platform identifiers.

  • ClickHouse SQL

    Filter and aggregate data near the storage layer.

  • REST and Python

    Integrate the dataset into research code.

  • Parquet exports

    Move bulk history into a local analytical workflow.

  • Public samples

    Inspect example rows and table types before signup.

  • Continuity fields

    Use recorded state and continuity metadata when interpreting book sequences.

Workflows with Probalytics

Model historical execution

Locate the market and outcome, retrieve its book sequence and apply an explicit size and latency assumption.

Build a panel

Join markets, fills and outcomes in SQL and retain the platform identifier.

Inspect data quality

Check coverage start dates, continuity and missing periods before measuring a strategy.

Pricing and total cost

Paid plans have a three-day trial covering the latest seven days across venues and access methods.

Starter

$39/month

  • Rolling 30-day market/trade history
  • REST and SQL
  • 100 queries/hour, 100,000 result rows

Pro

$129/month

  • Full available market/trade history
  • 1,000 queries/hour
  • Up to 1 billion result rows and Parquet exports

Orderbook

$249/month

  • Pro features plus historical full-depth books

Custom

Contact sales

  • Custom retention, tables, limits and support

Getting started

Before you start: Polymarket book history begins in November 2025; Kalshi book history begins in May 2026.

  1. Download or inspect public sample rows.
  2. Check the coverage table for your venue and dataset.
  3. Choose a trial and access method.
  4. Run a narrowly filtered query.
  5. Validate identifiers and continuity before a larger export.

Open documentation

Useful links

What to check

  • Polymarket book history begins in November 2025; Kalshi book history begins in May 2026.
  • Market metadata and fills can have earlier coverage than books.
  • Historical books cannot simply be backfilled from the venues.
  • A stored quote still needs an execution model for a realistic backtest.

A closer look

Ratings & reviews

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Editorial rating
4.0/ 5
0 user reviews

Our take on Probalytics

Full-depth history, precise timestamps and SQL/SDK/export access form a well-specified research data product. Venue start dates, capture completeness and the trial window must match the intended replay period.

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

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Frequently asked questions about Probalytics

Does Starter include books?

No. Historical books require Orderbook or Custom.

Can I use SQL?

Yes, through ClickHouse.

What does the trial include?

The latest seven days across venues and access methods for three days.