Aperiodic.io
Point-in-time crypto microstructure, liquidity and order-flow metrics plus raw trades and quotes as parquet, on venues incl. Binance, OKX, Hyperliquid.
Point-in-time crypto microstructure, liquidity and order-flow metrics plus raw trades and quotes as parquet, on venues incl. Binance, OKX, Hyperliquid.
This page is designed to help you find out whether Aperiodic.io is good and if it is the right choice for you.
Aperiodic turns raw crypto order book and trade data into 220 point-in-time microstructure, liquidity and order-flow metrics across 19 datasets, including Kyle's lambda, Amihud illiquidity, flow toxicity and slippage in basis points. Venues include Binance futures, OKX perps and Hyperliquid perps, at intervals from 1m to 1d. The raw trades, quotes and derivatives data behind the metrics are available too. You pull everything as parquet with a CLI, a REST API or the Python SDK (pip install aperiodic). The preview slice needs no signup. Self-serve plans run $29 to $1,249 a month, billed yearly, with a personal licence; raw data is on the Prime + Raw plan. Commercial use is on the Institutional plan.
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Point-in-time metrics
220 microstructure, liquidity and order-flow metrics across 19 datasets, as parquet
Raw data
Trades, quotes, mark and index price, funding and open interest (Prime + Raw plan)
Free preview
No API key or signup; one month of BTC perp data for every dataset
Aperiodic sells the feature layer between raw ticks and finished analytics: 220 point-in-time microstructure, liquidity and order-flow metrics (Kyle's lambda, Amihud illiquidity, flow toxicity, flow entropy, slippage in basis points and more), computed from raw order book and trade data with no look-ahead. You get them as parquet through a CLI, a REST API or the Python SDK, and the raw trades, quotes and derivatives data behind them are available too. A preview slice of every dataset downloads with one CLI command and no API key.
Quant researchers and systematic traders working on crypto perpetual futures: researchers at systematic funds and prop desks, independent quants, and students who need order-flow and liquidity features for backtests and models. Self-serve plans carry a personal licence; funds and desks use the Institutional plan for commercial use.
If you research crypto perpetuals, the usual choice is raw ticks you have to engineer into features yourself, or sales-gated analytics you cannot try first. Aperiodic gives you the computed features directly, so you can test an order-flow idea the same day instead of building a pipeline first. You can also try it before paying: the preview needs no API key or signup, and self-serve plans start at $29 a month, billed yearly, with no sales call.
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