Predict.fun historical data
Full order book history and onchain settlement data for predict.fun, the Polymarket-style order book exchange on BNB Smart Chain. Off-chain books and quotes are tick-level; onchain fills, the canonical record of executed trades with maker and taker wallets, go back to market inception.
Apr 22, 2026
Order books since
From market inception
Trade history
All 4 exchange contracts
Data covered
Identical to Polymarket
Schema
What's included
Recorded in full from the venue's feeds - no downsampling, no interval sampling.
quotes
Quotes
A new row on every best bid/ask change - event-driven, not interval-sampled.
book_snapshot_5 / 25 / full
Order book snapshots
Every websocket frame recorded tick-by-tick at 5, 25, or all price levels.
onchain_fills
Onchain fills
The canonical trade record for predict.fun (no off-chain trades feed exists): every fill with maker and taker wallets, back to inception.
Coverage
Quotes, order books
From Apr 22, 2026
Onchain fills
From market inception on BNB Smart Chain
Trading venues
All four exchange contracts (standard, yield-bearing, and their NegRisk siblings)
Portable schema
Same columns and API as Polymarket - your existing pipeline runs on both
New data lands daily, within hours of midnight UTC - as date-partitioned Parquet files via the REST API or Python SDK.
Download top-of-book quotes
from telonex import get_dataframequotes = get_dataframe(api_key="YOUR_API_KEY",exchange="predict_fun",channel="quotes",slug="will-jesus-christ-return-before-2027",outcome="Yes",from_date="2026-06-24",to_date="2026-06-25",)
pip install telonex[dataframe] and every download lands as a pandas DataFrame.
Predict.fun data FAQ
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