Introduction

What is the Alphractal API

The Alphractal API provides programmatic access to cryptocurrency data across on-chain metrics, market indicators, derivatives data, exchange flows, and macro-level signals.
It is designed to power analytics dashboards, research workflows, quantitative models, and data pipelines with a consistent and reliable data structure.

Who it’s for

  • Developers & Builders – integrate crypto metrics into applications, backends, dashboards, alerts, or trading tools.

  • Analysts & Quants – access historical time-series for research, backtesting, signal generation, and modelling.

  • Teams & Companies – centralise crypto data ingestion instead of relying on multiple fragmented providers.

How the API is organised

The API is structured around two main consumption patterns:

  • Metric endpoints – one endpoint per metric, returning a time-series for a specific asset (e.g. price, open interest, funding rate).

  • Bulk / query endpoints – endpoints designed for larger data retrieval, supporting pagination, sorting, and field selection, ideal for pipelines and data sync.

Response format (high level)

Most endpoints return:

  • Time-series data – an array of datapoints with a time field and one or more numeric values.

  • Some endpoints return paginated responses, including offset, total, and results.

Common patterns

  • Asset-scoped routes – many endpoints use {asset} in the path (e.g. BTC, ETH).

  • Optional filters – certain endpoints support filters such as exchange or timeframe when applicable.

  • Numeric consistency – metric values are returned as double, suitable for analytics and modelling.

Important note

This documentation represents the public contract of the API.
If a behaviour, parameter, or constraint is not explicitly documented here, it should not be assumed by the client.