# Fraud & Transaction Security API

> Detect payment-fraud patterns, transaction velocity anomalies, synthetic-identity inconsistencies, invoice-fraud signals, supplier bank-change risk, refund abuse, chargeback patterns, and multi-account clusters—using caller-supplied payments, invoices, and identity records with local explainable rules only.

- Product: https://www.brainiac.software/api/fraud-signals
- Docs: https://www.brainiac.software/api/fraud-signals/docs
- OpenAPI: https://www.brainiac.software/api/fraud-signals/openapi.json
- Contact: support@brainiac.software (https://www.brainiac.software/contact)

## Operations

- POST /api/v1/fraud-signals/payment-fraud-pattern-detect — $0.05 USDC — Detect payment fraud patterns: Detect suspicious combinations of caller-supplied payment events (declines-then-success, instrument churn, billing/shipping mismatch). Anomalies are not confirmed fraud. Docs: https://www.brainiac.software/api/fraud-signals/docs#fraud-signals-payment-fraud-pattern-detect
- POST /api/v1/fraud-signals/transaction-velocity-analyze — $0.04 USDC — Analyze transaction velocity: Identify abnormal transaction frequency and amount velocity from caller-supplied histories. Velocity spikes alone are never labeled confirmed fraud. Docs: https://www.brainiac.software/api/fraud-signals/docs#fraud-signals-transaction-velocity-analyze
- POST /api/v1/fraud-signals/synthetic-identity-signal-detect — $0.04 USDC — Detect synthetic-identity signals: Identify inconsistencies in caller-supplied identity records (sparse profiles, age/postal mismatches, shared contacts). Personal data is masked in responses. Docs: https://www.brainiac.software/api/fraud-signals/docs#fraud-signals-synthetic-identity-signal-detect
- POST /api/v1/fraud-signals/invoice-fraud-signal-detect — $0.04 USDC — Detect invoice fraud signals: Detect potentially manipulated invoices from caller-supplied invoice exports (duplicate numbers, tax anomalies, missing PO). Not confirmed fraud. Docs: https://www.brainiac.software/api/fraud-signals/docs#fraud-signals-invoice-fraud-signal-detect
- POST /api/v1/fraud-signals/supplier-bank-change-risk — $0.04 USDC — Assess supplier bank-change risk: Identify suspicious supplier bank-detail changes near invoice timing from caller-supplied records. Bank values are last4-masked. Docs: https://www.brainiac.software/api/fraud-signals/docs#fraud-signals-supplier-bank-change-risk
- POST /api/v1/fraud-signals/refund-abuse-pattern-detect — $0.04 USDC — Detect refund-abuse patterns: Detect abnormal refund frequency and amount ratios from caller-supplied payment histories. Refund rate alone is not confirmed fraud. Docs: https://www.brainiac.software/api/fraud-signals/docs#fraud-signals-refund-abuse-pattern-detect
- POST /api/v1/fraud-signals/chargeback-pattern-analyze — $0.04 USDC — Analyze chargeback patterns: Analyze recurring chargeback/dispute patterns from caller-supplied payment records. Elevated rates are indicators, not confirmed fraud. Docs: https://www.brainiac.software/api/fraud-signals/docs#fraud-signals-chargeback-pattern-analyze
- POST /api/v1/fraud-signals/multi-account-fraud-cluster — $0.05 USDC — Cluster related fraud accounts: Group potentially related accounts using deterministic overlap of caller-supplied emails, phones, devices, IPs, and payment-instrument last4 values. Linkage is not confirmed fraud. Docs: https://www.brainiac.software/api/fraud-signals/docs#fraud-signals-multi-account-fraud-cluster