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.
- Download or inspect public sample rows.
- Check the coverage table for your venue and dataset.
- Choose a trial and access method.
- Run a narrowly filtered query.
- Validate identifiers and continuity before a larger export.
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
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Browse categoryFrequently 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.


