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Crypto address screening is the most foundational step in any blockchain AML programme. Before accepting funds from or sending funds to any wallet, knowing whether that address carries compliance risk is essential — both for regulated entities with AML obligations and for individual users who want to avoid depositing flagged funds to an exchange. The mechanics of address screening are straightforward: compare the target address against known-bad lists, trace its counterparty relationships to identify indirect exposure, assess its transaction behaviour for AML-relevant patterns, and assign a risk score. The challenge is building and maintaining the lists, the entity attribution, and the analytical infrastructure that makes this possible at scale. Plastron performs address screening against the OFAC SDN list, ethereum-lists community darklist, Forta labelled-datasets covering exploit and hack contracts, and CryptoScamDB's phishing address database. These four sources cover the most important categories of flagged addresses on Ethereum: state-sponsored sanctions targets, community-identified scams, DeFi exploit contracts, and phishing wallets. Beyond the lists, Plastron traces each major counterparty in the screened wallet's transaction history and classifies it by entity type — identifying whether the wallet has interacted with exchanges, DeFi protocols, mixers, sanctioned entities, darknet markets, or unclassified addresses. This counterparty context is what distinguishes address screening from a simple blacklist lookup and is what exchange compliance systems use to make decisions about incoming deposits.