Sanctions Screening Vendors (2025)
Last Updated: 2025-12-28 Status: Complete
This page provides a comparison of sanctions screening vendors for PayFac implementations.
Vendor Comparison
| Vendor | Tier | Strengths | Best For | Pricing |
|---|---|---|---|---|
| Dow Jones Risk & Compliance | Tier 1 | Highest quality data, extensive coverage, low false positives | Large enterprises, banks | Enterprise |
| Refinitiv World-Check (LSEG) | Tier 1 | Most comprehensive dataset, global coverage, advanced analytics | Large financial institutions | Enterprise |
| LexisNexis Bridger | Tier 1 | Unmatched data depth, due diligence capabilities, entity resolution | Large banks, global operations | Enterprise |
| ComplyAdvantage | Mid-range | AI-driven, real-time updates, API-first, modern UX | Fintechs, PayFacs, digital-first | Mid-range |
| Accuity (LexisNexis) | Tier 2 | Payment screening focus, good coverage, reliable | Mid-sized companies, regional banks | Mid-range |
| Chainalysis KYT | Specialized | Crypto-native, blockchain screening, transaction monitoring | Crypto exchanges, DeFi platforms | Mid-range |
Pricing Considerations
Tier 1 (Enterprise)
- Typically $50,000 - $500,000+ annually
- Per-user licensing + API call pricing
- Minimum commitments often required
- Comprehensive support and training
- Prohibitively expensive for small/mid-sized fintechs
Mid-Range
- $10,000 - $100,000 annually
- More flexible pricing models
- API-first with usage-based pricing
- Faster implementation
- Better fit for PayFacs and fintechs
API-Based Pricing Models
| Pricing Component | Typical Range |
|---|---|
| Per-screening fee | $0.10 - $2.00 per check |
| Monthly minimums | $500 - $5,000 |
| Volume discounts | 20-50% at scale |
| Real-time vs. batch | Real-time 1.5-2x batch pricing |
Vendor Selection Criteria
Must-Have Features
- Real-time screening (sub-second response times)
- Automatic SDN list updates (at least daily)
- Fuzzy matching with configurable thresholds
- RESTful API for integration
- Audit trail of all screening activity
- Match resolution workflow
- Multiple list coverage (OFAC, UN, EU, UK)
Nice-to-Have Features
- PEP screening
- Adverse media screening
- Entity resolution/disambiguation
- Risk scoring
- Ongoing monitoring automation
- Case management system
- Reporting and analytics
Integration Considerations
- API documentation quality
- Webhook support for list updates
- Batch screening capabilities
- Rate limits and SLAs
- Sandbox environment for testing
- Technical support responsiveness
Vendor Deep Dives
Dow Jones Risk & Compliance
Best for: Organizations requiring highest data quality
- Data Sources: Proprietary research team, extensive global coverage
- False Positive Rate: Industry-leading low rates
- Coverage: 2.5M+ profiles, 300+ sanctions programs
- Implementation: Longer, requires dedicated team
- Pricing: Enterprise contracts only
Refinitiv World-Check (LSEG)
Best for: Global financial institutions
- Data Sources: Largest sanctions database globally
- Coverage: 3M+ entities, comprehensive PEP coverage
- Integration: Strong API, case management included
- Pricing: Enterprise, multi-year contracts typical
ComplyAdvantage
Best for: Modern fintechs and PayFacs
- Technology: AI-powered matching and risk scoring
- Updates: Real-time list updates
- Integration: Modern API, quick implementation
- Pricing: Usage-based, fintech-friendly
- Differentiator: Built for digital-first companies
Chainalysis KYT
Best for: Cryptocurrency-related businesses
- Specialization: Blockchain transaction analysis
- Coverage: Crypto wallets, exchanges, DeFi protocols
- Unique: On-chain sanctions screening
- Pricing: Volume-based
Vendor Due Diligence Checklist
Before selecting a vendor:
- Request trial/sandbox access
- Test API response times
- Verify list update frequency
- Review false positive rates (request metrics)
- Check SOC 2 / ISO 27001 certification
- Understand contract terms (minimums, termination)
- Evaluate customer support quality
- Review implementation timeline
- Assess ongoing cost scalability
Related Topics
- Sanctions Screening Overview - Core concepts
- Fuzzy Matching - How matching works
- Operations - Implementation patterns