Merkle Science Crypto AML and Blockchain Compliance API
Merkle Science crypto AML and blockchain compliance REST API for cryptocurrency exchanges, financial institutions, and crypto asset service providers (CASPs) to perform blockchain transaction screening, entity risk scoring, AML monitoring, and regulatory compliance across Bitcoin, Ethereum, and 20+ blockchain networks — enabling real-time crypto AML compliance with particular strength in APAC regulatory requirements (MAS Singapore, JFSA Japan, SFC Hong Kong, AUSTRAC Australia) and emerging market crypto compliance. Enables AI agents to manage transaction screening for real-time crypto AML compliance automation, handle entity risk for blockchain address risk assessment automation, access wallet screening for counterparty due diligence automation, retrieve sanctions screening for global sanctions list compliance automation, manage behavioral analytics for transaction pattern anomaly detection automation, handle VASP risk for crypto exchange counterparty risk automation, access investigation for blockchain forensics and fund tracing automation, retrieve risk alerts for AML alert management automation, manage SAR data for suspicious activity report support automation, and integrate Merkle Science with crypto exchange, DeFi, and financial institution AML compliance workflows for blockchain monitoring automation.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Crypto compliance. MAS, SFC, JFSA, OFAC, FATF. API key. Singapore/Global. Blockchain and compliance data.
⚡ Reliability
Best When
A cryptocurrency exchange, financial institution, or crypto asset service provider operating in APAC or globally wanting AI agents to perform blockchain transaction screening, entity risk scoring, and AML compliance monitoring with strong APAC regulatory alignment.
Avoid When
ENTERPRISE SUBSCRIPTION REQUIRED: Merkle Science API requires enterprise customer contract; automated public API access assumption creates no credentials; automated must establish Merkle Science enterprise subscription. BLOCKCHAIN NETWORK COVERAGE: Merkle Science covers 20+ blockchains but not all; automated universal chain coverage assumption creates unsupported_network for niche chains; automated must verify coverage for specific blockchain networks. APAC REGULATORY NUANCES: Merkle Science's APAC strength means particularly strong coverage for MAS/SFC/JFSA regulations; automated generic global regulation assumption may miss APAC-specific compliance requirements; automated should leverage APAC-specific compliance features for Asian market operations. RISK SCORES REQUIRE POLICY CALIBRATION: Merkle Science risk thresholds must be calibrated per organization's risk appetite; automated default threshold assumption creates organization-specific risk policy mismatch; automated must configure risk thresholds aligned with compliance program.
Use Cases
- • Screening cryptocurrency transactions for AML compliance in APAC-regulated crypto exchange operations automation agents
- • Assessing blockchain wallet and entity risk for VASP counterparty due diligence automation agents
- • Monitoring DeFi protocol transactions for regulatory compliance and sanctions screening automation agents
- • Supporting SAR filing and suspicious activity investigation with blockchain forensic data for compliance automation agents
Not For
- • Non-blockchain financial AML (Merkle Science focuses on on-chain crypto transactions)
- • Consumer crypto investment advice (Merkle Science is institutional compliance, not retail analytics)
- • Real-time arbitrage or trading signals (Merkle Science provides compliance data, not trading intelligence)
Interface
Authentication
Merkle Science uses API key for authentication. REST API with JSON. Singapore HQ (with New York and Bangalore offices). Founded 2018 by Mriganka Pattnaik and Nirmal A.K. Products: Predictive Risk ML, transaction monitoring, entity risk scoring, wallet screening, investigation tools, VASP due diligence. SDKs: None public. Covers 20+ blockchains. Strong APAC regulatory alignment (MAS, SFC, JFSA, AUSTRAC). Backed by PayPal Ventures, Bain Capital, and others. Competes with Chainalysis and TRM Labs for crypto compliance market.
Pricing
Singapore SG. Enterprise contract. Per-transaction + entity. 20+ blockchains. APAC crypto compliance focus.
Agent Metadata
Known Gotchas
- ⚠ PREDICTIVE ML MODEL REQUIRES CALIBRATION: Merkle Science uses ML-based risk prediction; automated uncalibrated model assumption creates institution-specific false positive rates; automated must calibrate risk thresholds against organization's risk appetite and historical data
- ⚠ VASP SCREENING IS SEPARATE: VASP (crypto exchange) counterparty due diligence is a separate product from transaction screening; automated unified AML product assumption creates feature_not_enabled for VASP risk scoring; automated must enable VASP due diligence product separately
- ⚠ APAC BLOCKCHAIN NUANCES: Merkle Science has specialized APAC coverage including Japan (JFSA), Singapore (MAS), Hong Kong (SFC); automated generic global coverage assumption misses APAC-specific regulatory data; automated should leverage APAC-specific compliance features when operating in Asian markets
- ⚠ ALERT TRIAGE REQUIRES WORKFLOW: Merkle Science generates risk alerts requiring analyst triage; automated alert-auto-action assumption misses required human review for most compliance programs; automated must implement alert queue management and analyst workflow
- ⚠ SANCTIONS HITS ARE TIME-SENSITIVE: SDN/sanctions matches require immediate blocking per OFAC/MAS requirements; automated delayed processing for sanctions assumption creates regulatory violation; automated must implement immediate transaction blocking for confirmed sanctions matches
Alternatives
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Scores are editorial opinions as of 2026-03-07.