Catch payment fraud
before the chargeback
Stop losing 2-5% of revenue to friendly fraud, account takeovers, and synthetic identities. Flag suspicious transactions in under 50ms—before they hit your payment processor.
Used by payment platforms processing $2B+ annually
Protecting transactions for
THE COST OF DOING NOTHING
Payment fraud is bleeding your business dry
Lost to payment fraud in 2024 (US fintech alone)
Cost per $1 of fraud (fees + operations + reputation)
Avg. time to detect sophisticated fraud patterns manually
HOW IT WORKS
Detection in three layers
Every transaction goes through velocity checks, behavioral analysis, and ML risk scoring
Velocity & Rules Engine
Flag obvious patterns: 10 transactions in 2 minutes, card-not-present from high-risk country, email domain mismatch.
Behavioral Anomaly Detection
Compare to user history: first international purchase, 4x normal order value, new shipping address, device fingerprint change.
ML Risk Score
Gradient-boosted model trained on 50M+ labeled transactions outputs 0-100 risk score with feature explanations (SHAP values).
FRAUD TYPES WE CATCH
Built for payment platforms & neobanks
Account Takeover (ATO)
Detects credential stuffing, session hijacking, SIM swaps
Friendly Fraud / Chargeback Abuse
Flags customers with history of disputed legitimate purchases
Synthetic Identity Fraud
Catches fabricated identities before they accumulate credit
Card Testing & BIN Attacks
Stops automated scripts testing stolen card numbers
DEVELOPER-FIRST
Deploy in hours, not months
Single REST API. Webhook callbacks. No model training required.
POST /api/v1/transactions
Authorization: Bearer sk_live_...
Content-Type: application/json
{
"amount": 129.99,
"type": "PURCHASE",
"userId": "usr_abc123",
"ipAddress": "192.168.1.1",
"deviceId": "dev_xyz789"
}
// Response (47ms)
{
"id": "txn_def456",
"status": "FLAGGED",
"riskScore": 0.87,
"riskFactors": [
"Velocity: 5 transactions in 8 minutes",
"New device fingerprint",
"Amount 3.2x user average"
]
}WHY FRAUDIES
Built different
| Feature | Fraudies | Legacy Vendors | In-house Build |
|---|---|---|---|
| Time to deploy | 4 hours | 6-8 weeks | 4-6 months |
| API response time | <50ms | 200-500ms | Varies |
| False positive rate | 0.3% | 3-8% | 10%+ |
| Model training required | No | Yes (60 days) | Yes (ongoing) |
| Monthly cost (at scale) | $2,500 | $15K-50K | $80K+ eng cost |
| Explainable decisions | Yes (SHAP) | Limited | If built |
TRUSTED BY FINTECH LEADERS
Real results from real companies
"Fraudies caught a synthetic identity ring that would have cost us $380K. The ML explanations helped us understand the fraud pattern and update our KYC process."
"We integrated in 6 hours. First week prevented $47K in friendly fraud. The webhook integration was cleaner than Stripe's documentation."
"False positive rate dropped from 12% to 0.4%. Our ops team went from reviewing 2,000 alerts/day to 80. Massive efficiency gain."
Pay for itself in week one
If you're processing $1M+/month, you're likely losing $20-50K to fraud. Our $2,500/month plan typically prevents $150K+ in fraud losses.
Stop losing money to fraud
14-day free trial. No credit card required. Cancel anytime.
Common questions
How long does integration take?
Most teams integrate in 4-6 hours. We provide REST API endpoints, webhook handlers, and SDKs for Node.js, Python, Java, and Go. No ML training period required—our models work out of the box.
What's your false positive rate?
Our average false positive rate is 0.3%, compared to 3-8% for legacy vendors. We achieve this through multi-layer detection (rules + behavioral + ML) and continuous model refinement based on your feedback.
Do you support real-time webhooks?
Yes. Configure webhooks to receive instant notifications when transactions are flagged. Typical webhook delivery is under 100ms. We also support batch API calls for historical analysis.
What fraud types do you detect?
We catch account takeover (ATO), friendly fraud/chargeback abuse, synthetic identity fraud, card testing, velocity attacks, and emerging patterns. Our ML models are trained on 50M+ labeled transactions.
How do you handle compliance?
We're SOC 2 Type II certified, PCI DSS compliant, and GDPR ready. Full audit trails are maintained for all decisions. We provide compliance exports for regulatory reporting.
What if I need custom rules?
You can configure custom velocity rules, blocklists, and thresholds via dashboard or API. Our ML models adapt to your specific transaction patterns within the first 30 days.