Anomaly adds real-time transaction risk detection with human-readable explanations to any fintech product — in a single API call.
Transfer is 14× larger than this user's 90-day average. First large ACH from this beneficiary. Recommend step-up authentication.
Consistent with weekly routine. Same location and amount range as prior 23 transactions.
New payee. Geolocation mismatch with device (IP: Frankfurt, card: Chicago). High-risk merchant category.
Annual renewal. Amount and timing align with subscription history.
Anomaly integrates with your existing transaction pipeline in minutes. No ML expertise, no model training, no infrastructure to manage.
// POST https://api.westleygroup.com/v1/analyze curl -X POST https://api.westleygroup.com/v1/analyze \ -H "Authorization: Bearer wg_live_xxxx" \ -H "Content-Type: application/json" \ -d { "transaction_id": "txn_9f3k2p", "user_id": "usr_4821", "amount": 12440.00, "currency": "USD", "merchant": { "name": "Stripe Transfer", "category": "ACH_TRANSFER" }, "device_id": "dev_ios_ab2f", "ip_address": "104.18.44.12" } // ← Response in <50ms { "risk_score": 0.89, "decision": "REVIEW", "explanation": "Transfer is 14× the user's 90-day average. First transaction to this beneficiary. Recommend step-up authentication.", "signals": [ "amount_velocity_spike", "new_beneficiary", "large_ach_transfer" ] }
Built by former heads of fraud operations at tier-1 banks and scaled consumer fintech. Every feature is grounded in operational reality — not academic models.
A risk score of 0.87 tells you nothing. "This transfer is 14× the user's average and the beneficiary account is new" tells you exactly what to do next. Anomaly bridges the gap between ML and human judgment.
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Join hundreds of fintech teams protecting their users with Anomaly. First 5,000 API calls are free — no credit card required.