Plastron is a free, lightweight alternative to enterprise blockchain-forensics suites for individuals: it screens a wallet for sanctions, mixer and stolen-fund links on 10 chains, with exposure analysis on 7 EVM chains, though it is informational, not court-grade forensics.
Blockchain Forensics Alternative for Wallet Screening
Professional blockchain forensics costs thousands per month. Plastron provides the same wallet-level AML intelligence — sanctions screening, mixer detection, stolen fund links — for free.
Blockchain forensics refers to the application of analytical techniques to trace on-chain transactions, identify the entities behind wallet addresses, and build an evidentiary picture of fund flows. In the enterprise market, this capability is dominated by Chainalysis, Elliptic, and TRM Labs — firms that have spent years building address attribution databases, training cluster analysis models, and integrating with law enforcement and regulatory data sources. Their tools are essential for large-scale investigations and regulatory compliance at major exchanges, but they are priced for institutional budgets. Annual contracts for enterprise blockchain forensics tools start in the mid-five figures and scale into six figures for high-volume plans. This pricing structure leaves a significant gap in the market: individuals, small businesses, compliance officers at smaller firms, and crypto developers who need wallet-level risk intelligence for spot checks and pre-transaction screening often cannot justify the enterprise cost. Plastron fills the lower end of this spectrum. It provides the core screening capabilities that cover the most common compliance use cases — OFAC sanctions screening, mixer and darknet exposure checks, stolen fund links, and a composite risk score — without a contract or subscription. The trade-off compared to enterprise tools is scope: Plastron covers Ethereum mainnet, analyzes up to 1,000 recent transactions, and applies one-hop counterparty analysis. Enterprise tools cover dozens of chains, trace fund flows five or more hops deep, and apply machine learning cluster analysis. For pre-deposit screening, self-assessment, and first-line due diligence, Plastron provides enterprise-equivalent intelligence where it matters most.
Blockchain forensics alternative: how the scan works
OFAC Sanctions and Known-Address Screening
The core of professional blockchain forensics is address attribution — knowing what entity a given wallet address belongs to. Plastron's known-address database covers OFAC SDN-designated crypto addresses, Tornado Cash contract addresses, known exploit wallets from major hacks, darknet market addresses, and phishing addresses from CryptoScamDB and Forta threat intelligence. This covers the most compliance-relevant categories of flagged addresses without requiring an enterprise subscription.
Counterparty Graph Analysis
Professional forensics tools trace fund flows by building counterparty graphs — maps of which addresses interacted with your wallet and what entities they represent. Plastron performs this analysis for up to 1,000 recent transactions, classifying each major counterparty by entity type (exchange, DeFi, mixer, sanctioned, darknet, etc.) and calculating the USD volume of interactions. This counterparty graph is the same analytical output that professional tools produce, covered at one-hop depth.
Risk Report in Seconds — No Contract Required
Enterprise forensics tools require onboarding, training, and a signed contract before you can run a single query. Plastron needs none of that: scan for an instant free read with no account, then sign in — still free, no API key, no cost — for the full wallet risk report in under 30 seconds from your browser. For compliance professionals who need a quick pre-transaction check outside their primary tool's coverage, developers testing a smart contract wallet, or individuals preparing a source-of-funds response, this immediacy is the key value.
Blockchain forensics alternative: the risk categories
What the data says
Measured from Plastron’s own screening corpus, rebuilt on every deploy.
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