Intel Platform | Arkham

Arkham Intel is a blockchain analytics platform that deanonymizes the people and companies behind blockchain wallets & transactions

Blockchain Analytics

Advanced tools for tracking and analyzing blockchain transactions

Crypto Intelligence

Comprehensive insights into cryptocurrency markets and activities

Wallet Tracking

Monitor and analyze wallet activities across multiple chains

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Arkham API Guide

v1.1.0

User guide for integrating the Arkham Intel API

Production-grade blockchain intelligence for your products, pipelines, and workflows.

Ready to start? Get API Access → or jump to the API Reference

Introduction

This guide complements the API Reference with practical guidance on using the API effectively. It covers common integration topics including access and onboarding, authentication, rate limits, pagination, and the Arkham data model (addresses, entities, labels, and tags).

Designed for both private- and public-sector users, this guide focuses on implementation guidance, conceptual clarity, and frequently asked questions. For endpoint specifications, request/response schemas, and code examples, see the API Reference. This guide is continuously updated as the API expands and new best practices emerge.

What This Guide Covers

  • Access and onboarding - How to get API access
  • API keys and authentication - Managing your credentials
  • Rate limits - Understanding and working within limits
  • Credit pricing - How API credits are calculated and billed per endpoint
  • Pagination patterns - Getting all your data
  • Data model - Addresses, entities, labels, and tags
  • Best practices - Security and operational recommendations

Core Principles

Entity-First
Built around real-world actors, not isolated addresses
Confidence-Scored
Attribution is probabilistic, not binary claims
Living Intelligence
Labels evolve as new signals emerge

When to Use This Guide vs API Docs

Use This Guide When...
  • Setting up an integration
  • Clarifying expected behavior
  • Understanding the data model
  • Learning best practices
Use API Docs When...
  • You need endpoint specifications
  • You need request/response schemas
  • You need code examples
  • You need parameter details

Last updated: January 2026