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Introduction

Alphractal is a crypto analytics and intelligence platform.
We provide access to structured on-chain, derivatives, sentiment, macroeconomic, and DeFi data through an easy-to-use platform and a unified API.

Our mission is to make crypto data accessible, reliable, and actionable helping traders, analysts, and institutions make better, data-driven decisions.

We combine transparent metrics with simple analytics tools, reports, and automated agents to deliver insights across all major assets and blockchains.

What We Offer

Data

Alphractal provides a broad library of metrics covering:

  • On-chain activity (flows, supply, UTXO behaviour)

  • Derivatives and funding markets

  • Stablecoins and DeFi liquidity

  • Market sentiment indicators

  • Macro and global risk data
    All metrics are accessible through dashboards, reports, or our public API.

Our focus is on high-liquidity assets and sustainable ecosystems, including Bitcoin, Ethereum, and major stablecoins.

Platform Tools

Alphractal offers a simple workspace to explore, visualise, and track data without code.
Users can:

  • Create dashboards and charts

  • Compare assets and timeframes

  • Set alerts for market events

  • Generate reports for research or clients

Insights

We use our own data to publish periodic research, reports, and educational content.
Our insights focus on:

  • Market structure and cycle behaviour

  • Stablecoin liquidity and flow analysis

  • Derivatives positioning and leverage

  • Emerging patterns across DeFi and chains

Community

Getting Started

  1. Create an Account → Sign up at app.alphractal.com

  2. Pin Metrics → Browse the Metrics Library and favourite 3 metrics to track.

  3. Build a Dashboard → Add widgets, compare assets, and save your view.

  4. Set Alerts → Create a rule for a key metric and choose how to receive notifications.

  5. Export Reports → Generate a summary PDF or share dashboards with your team.

If you are a developer, visit the API Introduction to get your key and start calling metrics.