Find your toolkit
Find reusable historical datasets, archives and data interfaces for market research. Personal trade history and a chart alone do not make a historical-data provider.
Check coverage dates, gaps, timestamps, schema and export formats before choosing data for a replay or analysis.
Retrieve full historical order books, sports market data and aligned price bars for research, replay and liquidity analysis.
Query blockchain data with SQL and turn the results into shareable dashboards for volumes, wallets, fills and other prediction-market research.
Replay your trading strategy against historical order books, with explicit fill and latency assumptions.
Retrieve historical Polymarket books and run either tick-level execution simulations or faster bar-based signal backtests in Python.
Retrieve weather forecasts, model comparisons and historical forecast runs for research around weather-linked prediction markets.
Download free Polymarket order-book captures with hourly Parquet files, schema notes, checksums and coverage audits.
Query historical prediction-market trades and full-depth order books through ClickHouse SQL, REST, a Python SDK or Parquet exports.
Retrieve bookmaker odds, scores and historical snapshots to build an external sports-price reference for prediction-market research.
Download historical market-day bundles or replay books and trades in a browser to inspect execution costs at a chosen size.
Aggregate Polymarket activity by stock ticker and compare it with Reddit, X and news sentiment through one API subscription.
Query normalized Polymarket and Kalshi markets, historical books, wallet analytics and matched events through one data API.
Query prediction-market metadata, prices, trades and order books across venues through a normalized data API.
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