Top 5 APIs for Credit Card Fraud Prevention
Fraud prevention in payments is a layered problem: validating cards, confirming user identities, checking addresses, and monitoring transaction patterns. Different APIs excel at different parts of this stack. For businesses selling expensive products, it’s critical to balance enterprise-grade protection with flexible, pay-as-you-go pricing.
Here’s a breakdown of leading APIs, including Melissa and Loqate, and when to use each.
1. Stripe Radar — Built-in Payment Platform Protection
- What it is: Fraud detection baked into Stripe’s payments ecosystem.
- Strengths: Machine learning trained on billions of global transactions, instant fraud scoring, minimal setup.
- Best for: Teams already using Stripe for checkout who want out-of-the-box card protection without integration overhead.
- Pricing: Included with Stripe fees; advanced plans add a per-transaction charge.
2. MaxMind minFraud — Transaction Scoring
- What it is: Real-time risk scoring API using IP, email, device, and card data.
- Strengths: Highly configurable, long history in fraud prevention, integrates into custom approval logic.
- Best for: Approval workflows and gating — allowing you to set thresholds and rules for declines or manual review.
- Pricing: Pay-as-you-go per transaction lookup.
3. Melissa & Loqate — Address and Identity Verification
- Melissa
- What it is: Enterprise-grade verification for names, addresses, phones, and emails, widely used in banking and telco.
- Strengths: Regulatory compliance (KYC/AML), fraud reduction through identity trust.
- Best for: High-value transactions where customer legitimacy is critical.
- Pricing: Pay-as-you-go credits for validation; volume discounts available.
- Loqate
- What it is: Global address validation and geocoding API.
- Strengths: Ensures billing/shipping addresses match real-world locations, reducing chargeback risk.
- Best for: E-commerce merchants selling expensive physical goods who need address accuracy before shipment.
- Pricing: Flexible pay-as-you-go per lookup.
4. Riskified, Sift, Feedzai, FraudLabs Pro — Advanced Fraud Platforms
- Riskified: Adaptive checkout workflows, AI-based approval, proven to recover revenue from false declines.
- Sift: End-to-end fraud detection across user lifecycle (account signup → checkout).
- Feedzai: Enterprise-grade, real-time fraud analytics at banking scale.
- FraudLabs Pro: Lightweight REST API with customizable rules, good for small-to-mid businesses.
- Best for: Custom approval logic and behavioral fraud detection beyond basic card validation.
- Pricing: Riskified and Feedzai use enterprise contracts; Sift and FraudLabs Pro offer usage-based tiers.
5. SpyCloud Cards API & Ekata — Proactive Monitoring and Identity Defense
- SpyCloud Compromised Credit Card API
- What it is: Database of compromised cards from breaches.
- Strengths: Blocks cards before they’re used fraudulently.
- Best for: Proactive exposure monitoring.
- Pricing: Typically subscription-based; scales by query volume.
- Ekata
- What it is: Identity trust API (formerly Whitepages Pro).
- Strengths: Detects synthetic identities and validates customer details against global datasets.
- Best for: Preventing fraud at account creation and checkout.
- Pricing: Pay-as-you-go pricing; enterprise packages available.
Quick Recommendation Matrix
Goal | Best API(s) |
---|---|
Built-in protection during checkout | Stripe Radar |
Approval logic / custom workflows | MaxMind, Riskified, Sift, Feedzai, FraudLabs Pro |
Proactive exposure monitoring | SpyCloud Cards API |
Identity verification & synthetic ID defense | Ekata, Melissa |
Address validation for physical shipments | Loqate, Melissa |
Key Statistics
Source | What was measured / Experiment | Result / Metric |
---|---|---|
Stripe (3DS / Radar) | In one experiment, lowering the threshold at which 3DS is triggered (i.e. making it required more often) | 74% decrease in the fraudulent dispute rate (Stripe) |
Stripe Radar (general) | Blocked high-risk transactions + decrease in carding attacks over time | According to Chargeflow, Stripe blocked 20.9 million fraudulent transactions (≈ $917 million) during BFCM; also reported they reduced carding attacks by ~80% over two years using updated ML models. (Chargeflow) |
Sift (PayMongo case) | After implementing Sift Payment Protection, PayMongo scaled and reduced losses | They kept fraud losses and chargebacks “well below threshold,” safely handled 10-20× more transactions with fewer disputes. (Sift) |
Sift (Tutory case) | False positives & manual reviews reduction | Reduced manual review volume by ~83%, and achieved a chargeback rate of 0.17% in a case of first-party fraud. (Sift) |
Sift (global data, payment fraud attack rate) | Year-over-year growth / blocking rates | From Sift’s Digital Trust Index: payment fraud attack rate is increasing, but networks are blocking many attacks. For example, “ATO attack rate … up 56% YoY” in Q4 2024. This shows how much fraud is being blocked vs how fast attacks are increasing. (Sift) |
Conclusion
No single API covers the full spectrum of fraud. The most resilient approach is layered:
- Use Stripe Radar for real-time scoring if you’re on Stripe.
- Add MaxMind or Sift for custom decisioning.
- Protect identities with Melissa or Ekata.
- Validate addresses with Loqate.
- Monitor compromised cards with SpyCloud.
All of these support pay-as-you-go pricing (or tiered usage), making it feasible for e-commerce businesses selling high-value products to scale protection without overcommitting to enterprise contracts.
Table of Contents
- 1. **Stripe Radar** — Built-in Payment Platform Protection
- 2. **MaxMind minFraud** — Transaction Scoring
- 3. **Melissa & Loqate** — Address and Identity Verification
- 4. **Riskified, Sift, Feedzai, FraudLabs Pro** — Advanced Fraud Platforms
- 5. **SpyCloud Cards API & Ekata** — Proactive Monitoring and Identity Defense
- Quick Recommendation Matrix
- Key Statistics
- Conclusion
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Table of Contents
- 1. **Stripe Radar** — Built-in Payment Platform Protection
- 2. **MaxMind minFraud** — Transaction Scoring
- 3. **Melissa & Loqate** — Address and Identity Verification
- 4. **Riskified, Sift, Feedzai, FraudLabs Pro** — Advanced Fraud Platforms
- 5. **SpyCloud Cards API & Ekata** — Proactive Monitoring and Identity Defense
- Quick Recommendation Matrix
- Key Statistics
- Conclusion
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