Assess wallet risk across Ethereum and Solana using sanctions-related signals, exposure analysis, and behavioral patterns. Professional-grade compliance data for modern crypto operations.
DYOR AML provides institutional-grade risk indicators for digital asset addresses. Our platform aggregates data from public and commercial sources to identify high-risk exposure and suspicious behavioral patterns.
Designed for compliance teams, OTC desks, and DeFi protocols, we translate complex blockchain data into actionable risk signals.
Live wallet checks and API integrations are currently to approved customers. The tools displayed on this site are for .
Continuous monitoring of addresses linked to global sanctions lists and designated entities.
Detection of peeling patterns, mixer interactions, and high-velocity routing anomalies.
Explore the depth of data provided in a standard DYOR AML risk profile.
Score based on direct exposure to high-risk entities and automated behavior analysis.
Significant volume routing through unverified liquidity pools and cross-chain bridges.
Note: Outputs may vary based on network activity and data freshness.
Empower your compliance team with data that matters.
Reduce manual review time by 70% with automated risk scoring and pre-flagged transaction histories.
Uncover hidden connections across multiple hops to identify the true source of funds.
Clear, evidence-based reports that simplify internal decision-making and audit trails.
Align your operations with global AML/CTF standards using a risk-based approach.
Anonymous screening that respects user privacy while maintaining operational security.
Unified risk signals across Ethereum and Solana ecosystems for a holistic view.
Tailored risk intelligence for every sector of the crypto economy.
Problem: Inbound funds from unidentified sources risking regulatory fines.
How DYOR Helps: Real-time screening of deposit addresses before credit.
Key Signals: Sanctions, Mixer Exposure, Exchange Cluster IDs.
Problem: Large transactions with high counterparty risk and "dirty" funds.
How DYOR Helps: Deep-dive analysis of large-volume wallet histories.
Key Signals: Entity Clustering, Hop Distance, Transaction Velocity.
Problem: Preventing sanctioned actors from interacting with smart contracts.
How DYOR Helps: API-driven risk scoring for front-end blocking.
Key Signals: Sanctions-related signals, Smart Contract Interactions.
Problem: Ensuring corporate funds don't mix with high-risk liquidity pools.
How DYOR Helps: Ongoing monitoring of internal and external wallet flows.
Key Signals: Pool Risk, Bridge Usage, Behavioral Anomalies.
Problem: Sybil attacks and bot-farms diluting project rewards.
How DYOR Helps: Identifying clusters of related wallets and bot-like behavior.
Key Signals: Behavioral Patterns, Funding Source Analysis.
Our data engine is flexible. Contact us to discuss your specific compliance requirements.
Everything you need to know about DYOR AML.
DYOR AML supports Ethereum (Mainnet) and Solana.
Our data engine processes block data in real-time. Risk scores are recalculated based on new transaction activity and updates to our sanctions-related signal database.
No. DYOR AML provides risk indicators and data points based on public blockchain information. We do not provide legal conclusions or guarantees of compliance. All data should be used as part of a broader risk-based approach.
Use the score together with the underlying signals (exposure paths, entity categories, and transaction patterns). Always review the evidence and apply your internal policy before making a compliance decision.
Hop distance refers to the number of transactions between a wallet and a high-risk entity. For example, a "1-hop" exposure means the wallet transacted directly with a flagged address.
While our algorithms are highly tuned, no automated system is perfect. We provide the specific signals and evidence (transaction hashes, entity types) so compliance teams can perform their own due diligence.