Vigil is an intelligent fraud detection engine that analyzes transactions in real time, scoring risk with ML precision so you can block bad actors before they cost you a cent.
Free during early access · No credit card required
in fraud losses prevented annually for our design partners
average response time per transaction analysis
detection accuracy across all fraud vectors
Traditional rule-based systems miss sophisticated attacks. Manual reviews create bottlenecks. By the time you catch fraud, the money is gone and your customer's trust is broken.
Our ML engine analyzes hundreds of signals per transaction — device fingerprint, behavioral patterns, network anomalies, velocity checks — returning a risk score in under 12ms.
From real-time monitoring to deep analytics, Vigil provides the complete fraud intelligence stack.
Every transaction analyzed in milliseconds. Continuous surveillance across all payment channels with zero latency impact on your checkout flow.
Adaptive machine learning models trained on billions of signals. Risk scores that evolve with emerging fraud patterns — not static rules.
Real-time notifications via webhook, Slack, or email when suspicious activity is detected. Block fraud before the transaction completes.
RESTful API with SDKs for every major platform. Integrate Vigil into your stack in under 30 minutes with comprehensive documentation.
A single API call is all it takes. Score any transaction, get a risk verdict, and decide how to handle it — all within your existing payment flow.
// Score a transaction in real-time
const result = await vigil.score({
amount: 2340.00,
currency: "USD",
customer_id: "cus_8a2f...",
ip_address: "192.168.1.1",
device_fingerprint: deviceId,
});
// Returns in ~12ms
{
risk_score: 0.02,
verdict: "allow",
signals: ["known_device", "normal_velocity"],
latency_ms: 11.4
}Join the waitlist for early access. Be among the first to protect your business with next-generation fraud intelligence.
Launching Q2 2026 · Limited early access spots available