What is blockchain address attribution and why does it matter?

Blockchain address attribution is the process of assigning a verified identity to on-chain addresses, linking them to the entity that controls them. It is essential for compliance, transaction monitoring, and investigations in digital assets. Chainlabs provides attribution supported by verifiable source evidence, enabling organizations to assess counterparty risk with confidence.

How many blockchains does Chainlabs support?

Chainlabs currently covers 30+ blockchain networks, including Bitcoin, Ethereum, and other major chains. Coverage expands continuously as new blockchains gain adoption and client requirements evolve.

What makes Chainlabs' methodology defensible?

Our methodology combines human intelligence, advanced algorithms, and blockchain forensics. Every label includes supporting evidence: provenance documentation, screenshots, URLs, and wallet addresses. This is specifically designed to support compliance and investigative workflows that require evidence trails. Attributions are verified before publication and represent best-available intelligence based on observable evidence at a given point in time. This includes documented provenance and evidence trails, making them audit-ready and suitable for regulatory compliance. We maintain rigorous validation processes to ensure the highest standards of accuracy and defensibility.

How often is the wallet label dataset updated?

Chainlabs identifies and labels 300+ new entities monthly. Blockchain ecosystems change continuously as new services launch, addresses rotate, and risk typologies emerge. Continuous updates prevent coverage decay. Historical data is also maintained and reviewed and as new information becomes available, existing labels may be updated or revised.

Who uses Chainlabs' wallet intelligence?

9 in 10 Blockchain Compliance Firms rely on Chainlabs. End users include: Compliance platforms and transaction monitoring providers, Blockchain analytics companies, Cryptocurrency exchange compliance teams, Government investigative and regulatory agencies, and Financial institutions operating in digital assets.

How can I integrate Chainlabs data into my platform?

Chainlabs delivers flexible and fast intelligence via: Real-time: REST APIs and data feeds. Batch: Google BigQuery, Cloud Tables, and structured datasets.

What type of categories do you cover?

Chainlabs covers more than 70 risk and entity categories across the digital asset ecosystem, including regional and centralized exchanges, ATMs, OTC brokers, and VASPs; DeFi protocols, yield farms, and decentralized exchanges; darknet markets, mixers, and privacy services; scams, exploits, ransomware, and malware; sanctioned entities and terrorism financing; gambling services, merchants, and payment processors; as well as key infrastructure such as bridges, custodians, and stablecoin issuers. Coverage continuously expands based on client requirements and emerging risk typologies, with new categories added as the ecosystem evolves.

Iranian Red Crescent Addresses

Amidst the ongoing conflict in Iran, cryptocurrency donation addresses claiming to collect funds for the Iranian Red Crescent have been widely circulated. Distribution channels include Telegram, Iranian embassy websites, and IRGC-linked media such as Fars News.

As part of our conflict finance coverage, Chainlabs continues to monitor transactional data to illuminate the sources and movements of funds. Our source-of-funds analysis showed activity from both licensed and unlicensed global exchanges across multiple jurisdictions. We found that some donors used mixers and bridges — tools that break the transaction trail — a pattern that indicates awareness of sanctions risks, compliance requirements, or reputational concerns.

In the scale of conflict finance, total amounts received were modest — $44,000.The key factor is the structure of the activity: regulated exchanges appear in the flow, domestic Iranian platforms are present, and a meaningful share of funds arrives through infrastructure designed to obscure their origin. Historical precedence shows a potentially significant compliance knock-on effect — this underscores the importance of rigorous attribution analysis.

T H E C R U X

Early-stage, fragmented donor activity from global sources
Basic attempts at obfuscation layered onto relatively small transfers

Chainlabs will continue tracking these flows and update as patterns emerge.*