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Simple pricing

Pay only for what you download

No subscriptions. No monthly fees. Buy credits, use them to download the exact data you need.

Per data type

Trades
$1.00/MB
Every on-chain fill, both outcomes
OHLCV
$8.00/MB
1m / 1h / 1d candles, per outcome
Orderbook
$2.00/MB
Full bid/ask ladder snapshots

$10 minimum order · Compressed Parquet · Delivered instantly · Credits never expire

Orderbook snapshots
Every 60 seconds, all active Polymarket markets, going back to 2023.
Trade history
Every on-chain trade indexed from the Polygon blockchain, complete and verifiable.
Instant delivery
Download starts immediately. No queue, no waiting, no approval required.
API access included
Every account gets an API key for automated pipelines and programmatic access.
Credits never expire
Buy in bulk when it suits you. Credits sit in your account indefinitely.
Parquet format
Industry-standard columnar format. Works out of the box with Pandas, Polars, DuckDB.

Frequently asked questions

How is data size calculated?

We measure the compressed Parquet file size of the data you download. Parquet is highly efficient — 1 MB of Parquet typically represents tens of thousands of orderbook snapshots or trades.

Do credits expire?

No. Credits never expire. Buy once, use whenever you need.

What data formats are available?

All data is delivered as Parquet files — the industry standard for columnar analytics. Pandas, Polars, DuckDB, and virtually every data tool can read them natively.

How current is the data?

Orderbook snapshots are captured every 60 seconds, continuously. Trade data is indexed directly from the Polygon blockchain with minimal lag.

Can I preview data before buying?

Yes. You can browse all available markets, see coverage dates, and view snapshot counts before spending any credits.

What payment methods do you accept?

All major credit and debit cards via Paddle. More payment options coming soon.

Is there an API for automated access?

Yes. Every account gets an API key. You can automate downloads programmatically — perfect for running daily data pipelines.