Guides
How to work with prediction-market and crypto data
Step-by-step tutorials with working Python and cURL against the AymarData API — books, trades, settlements, bulk files, and MCP.
Backtest Polymarket Up/Down
Step-by-step guide to backtesting Polymarket BTC/ETH Up/Down markets with AymarData L2 books, trades, and settlements — including Python and cURL examples.
Polymarket order books
How Polymarket CLOB L2 books work in AymarData: bids, asks, outcomes, spreads, snapshots, deltas, and how to query them via API.
Polymarket historical data
Pull Polymarket historical order books, trades, and settlements with AymarData REST, Python, cURL, and bulk files — with working examples.
Kalshi historical data
How AymarData records Kalshi markets: snapshots, series identifiers, API examples, and how to pull historical books for research.
Binance book download & replay
Download and replay Binance spot and perpetual L2 order book history with AymarData — snapshots, deltas, Python, and cURL.
Hyperliquid & funding rates
Pull Hyperliquid L2 books, trades, and funding-rate history with AymarData — API patterns, Python examples, and research tips.
AI agent backtesting (MCP)
Use Cursor or Claude with the AymarData MCP server to fetch books, trades, and run backtest scaffolds — with prompts and REST fallbacks.
Deltas vs snapshots
When to use L2 snapshots vs order-book deltas in AymarData — reconstruction, replay, bandwidth, and working Python examples.
Also explore the data catalog, API docs, and pricing.
Educational content, not trading or investment advice. Past data doesn't predict future results.