The same data and models that power our API. Train your own models, backtest strategies, or learn to build a prediction market bot from scratch.
“I would have spent weeks pulling, cleaning, and time-syncing Polymarket and Kalshi data myself. ZenHodl handed me the whole archive in one download. Hundreds of hours back. Worth it on the time savings alone.”
“Exactly what's described — clean, structured, ready to load. No surprises, no clean-up. Saves me hours every time I sit down to work.”
Real-time fair win probability, edge signals, and orderbook snapshots across 11 sports. 30K req/mo, 1 WebSocket, Discord alerts. Bot course included free. Or start free with our Developer tier (500 req/mo, no card).
6 Jupyter notebooks: scraping ESPN, Elo ratings, WP models, backtesting, live bot, deployment. Build a complete prediction system from scratch.
Tick-level orderbook data from Polymarket and Kalshi. These platforms do not publish historical market data — we recorded it ourselves.
Tick-level bid/ask/spread/volume snapshots from BOTH Polymarket AND Kalshi sports prediction markets. Score-synced with live game state. 30+ days of continuous recording. Polymarket has no historical orderbook API — this is the only commercial source for backtest-ready depth data across both venues.
“I would have spent weeks pulling, cleaning, and time-syncing Polymarket and Kalshi data myself. ZenHodl handed me the whole archive in one download. Hundreds of hours back. Worth it on the time savings alone.” — Jhanelle Dormevil
Research-grade analysis of Kalshi market dynamics: spread compression events, quote freezes, recovery curves, leader-lag clusters, reversion patterns. Includes charts and methodology.
ML-ready game-state snapshots from ESPN across 11 sports. Score, time, period, Elo, ESPN WP, and outcome labels. Parquet format, pandas-ready.
The first commercially-available dataset of paired order intent + fill outcomes + post-fill markouts (30s/60s/90s) from a live Polymarket sports trading bot. 24K+ orders across 7 sports + 3 market types. Includes the bot's pre-trade fill predictions, compression diagnostics, and shield-policy reasoning. Ideal for execution-alpha research, fill-probability modeling, and adverse-selection auditing.
The raw ticks underneath the Microstructure Pack: 21.2M top-of-book burst snapshots + 9.9M mid-move events + 12.8M score-change windows. Dec 2025 → Apr 2026, 7 sports (NCAAMB, NBA, NFL, MLB, NHL, NCAAWB, NCAAFB). Companion to the Microstructure Pack — lets buyers re-derive existing metrics with custom thresholds, build new event detectors, or train fill-probability models on the underlying stream. Includes manifest, schema, methodology.
“I would have spent weeks pulling, cleaning, and time-syncing Polymarket and Kalshi data myself. ZenHodl handed me the whole archive in one download. Hundreds of hours back. Worth it on the time savings alone.” — Jhanelle Dormevil
Top-of-book quotes + game state across Polymarket and Kalshi sports markets for the 33-day window from Mar 28 → Apr 30 2026 (the depth-recorder was offline, but top-of-book + game state continued capturing). Kalshi side: full archive-grade schema (25 columns, parity with the Jan 2026 archive Kalshi side). Polymarket side: top-of-book only (11 columns) — no L2 depth. Useful for backtesting score-reaction, trade-timing, and signal-generation strategies that don’t need depth metrics. If you need full L2 depth, see the Polymarket & Kalshi Orderbook Archive (Jan 2026) or the monthly drops starting May 2026.
Win probability models — 25M+ labeled game-state snapshots with ESPN WP as baseline. Train LR, XGBoost, or neural nets.
Prediction market bots — the course walks you through building a complete Polymarket bot with edge detection and live execution.
Market microstructure research — tick-level orderbook data for studying price discovery, spread dynamics, and liquidity patterns in prediction markets.
Custom backtests — test entry criteria against real game outcomes and real market prices. Score, period, Elo, bid/ask — all included.
Elo rating systems — cleaned game results for 258+ teams across 11 sports. Build your own Elo, Glicko, or TrueSkill.
Academic papers — prediction market efficiency, price reaction to scoring events, sports betting market analysis. Cite-ready with provenance metadata.
Datasets delivered as ZIP files containing Apache Parquet and CSV. Compatible with pandas, polars, DuckDB, and Spark.
Instant download after purchase. Payments processed securely via Stripe.
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