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FraudEG is a real-time fraud prevention platform built for digital businesses that cannot afford to let bad actors through — or turn away good customers. Whether you run a fintech app, an e-commerce store, a marketplace, a payment processor, or a crypto exchange, FraudEG plugs directly into your transaction and user flows via REST API and returns a risk score, a decision, and a full set of explainable signals in milliseconds.

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Who FraudEG Is For

FraudEG is designed for engineering and risk teams at:
  • Fintechs and neobanks — protect account funding, P2P transfers, and card issuance from day one.
  • E-commerce and retail — stop card-not-present fraud and chargeback abuse without adding friction for genuine buyers.
  • Marketplaces — screen buyers, sellers, and payouts for synthetic identities and collusion.
  • SaaS platforms — defend trial abuse, promo fraud, and unauthorized account access.
  • Payment processors and PSPs — add a fraud decisioning layer across your entire merchant portfolio.
  • Crypto exchanges and Web3 apps — assess risk on deposits, withdrawals, and wallet interactions.

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Problems FraudEG Solves

Modern fraud is fast, automated, and cross-channel. FraudEG is built to counter it across every major threat vector:

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How It Works

Every FraudEG integration follows the same straightforward pattern:
  1. Your server makes a REST API call — send transaction, user, device, and session context to the FraudEG endpoint.
  2. FraudEG returns a risk score, a decision, and signals — a score from 0 (no risk) to 100 (highest risk), a machine decision (allow, challenge, or block), and a ranked list of contributing signals.
  3. You act on the decision — pass the transaction, step up authentication, or decline, all within your own UX.
The entire round-trip typically completes in under 100 ms, making FraudEG suitable for synchronous, customer-facing flows.

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Supported Payment Rails

FraudEG covers the full breadth of modern payment methods:
  • Credit and debit cards — Visa, Mastercard, Amex, and co-branded cards
  • Digital wallets — Apple Pay, Google Pay, PayPal, and proprietary wallet products
  • Bank transfers — ACH, wire, SEPA, and instant payment schemes
  • QR payments — dynamic and static QR code-based flows
  • Cryptocurrency — on-chain transfers, exchange deposits/withdrawals, and wallet interactions

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Key Capabilities

Risk Scoring Engine — A multi-model ensemble trained on billions of transactions produces a single, calibrated risk score alongside the factors that drove it. Identity Verification — Cross-reference user-supplied identity data against global databases, email reputation signals, phone intelligence, and document verification results. Device Intelligence — Fingerprint devices across sessions, detect emulators and virtual machines, and link devices to known fraud rings without requiring any SDK on the client. Behavioral Analysis — Model how a legitimate user navigates your product and surface anomalies — unusual typing cadence, copy-paste in sensitive fields, rapid form completion — that precede fraud. Workflow Automation — Build no-code rules and dynamic risk thresholds in the FraudEG dashboard to route decisions through your own business logic without a redeployment.

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Get Started

Quickstart

Make your first fraud risk assessment in under 5 minutes with a single API call.

Authentication

Learn how to obtain your API key and authenticate every request securely.

Risk Scoring Concepts

Understand how FraudEG calculates risk scores and what signals mean.

API Reference

Explore the full REST API — every endpoint, parameter, and response schema.
FraudEG provides a fully featured sandbox environment that mirrors production behavior. Use test API keys (prefixed feg_test_) to simulate transactions, trigger specific decisions, and validate your integration before going live — no real money or real users involved.