Arkham Intelligence, Inc. develops blockchain analytics software that links cryptocurrency addresses and transactions to identified entities. Founded in 2020 by Miguel Morel, the company provides an intelligence platform, data APIs and tools for investigating activity across blockchain networks.
Analytics and enterprise services
Arkham Intel includes entity and address pages, wallet holdings, transaction histories, alerts and network visualizations. Its Ultra technology uses AI in address attribution and on-chain analysis. The company also publishes research and operates an intelligence marketplace.
Arkham launched Arkham Enterprise in October 2026, bringing asset tracing, case management and risk scoring into a professional workspace. Under the announced access changes, full transaction histories, transaction filtering, new custom labels and the Tracer tool require Enterprise. Free access retains the Visualizer, explorer and other specified features.
The API provides programmatic access to Arkham’s data. These analytics and compliance tools assist research and investigations; their output does not establish the legal status or intentions of a wallet owner. CryptoSlate’s coverage of US government wallet transfers illustrates why a transfer to an exchange-linked address does not itself prove a sale.
Trading products
Arkham announced decentralized trading for Solana tokens in April 2026. Its trading products and intelligence marketplace have distinct functions and terms. Historic centralized-exchange services, token-marketplace fees and analytics subscriptions should be evaluated separately.
Access and limitations
The current Arkham signup flow supports email and password or Google. Its interface offers English, Spanish, Italian, Turkish, Russian, Korean, Japanese, and simplified and traditional Chinese. Product availability and account requirements depend on the service and applicable terms.
Blockchain attribution can be incomplete or incorrect, and AI-generated analysis requires verification. Arkham’s terms place responsibility on users to evaluate outputs and comply with applicable law. Sensitive identity conclusions should be assessed against the underlying evidence.
