2. Call the API from your backend: const result = await fetch('ht","image":"https://media2.dev.to/dynamic/image/width=1200,height=627,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ff9enfzrjwmx0om3sqlzw.png","datePublished":"2026-04-11T11:28:34","author":{"@type":"Person","name":"raigo mets"},"publisher":{"@type":"Organization","name":"Dev.to"},"mainEntityOfPage":{"@type":"WebPage","@id":"https://flarestart.com/article/how-i-built-a-fraud-detection-api-that-catches-antidetect-browsers-20260411"}}
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How I Built a Fraud Detection API That Catches Antidetect Browsers

How I Built a Fraud Detection API That Catches Antidetect Browsers

via Dev.toraigo mets

Every fraud tool on the market — IPQS, Sift, DataDome — was built for a world where bots used datacenter IPs. That world is gone. Today, fraudsters use antidetect browsers like Kameleo, GoLogin, AdsPower, and Dolphin to spoof their fingerprints. They route traffic through residential proxies that look like normal home connections. Legacy tools can't see them. So I built Sentinel . What It Does Sentinel is a REST API that tells you if a visitor is real or fake. One API call, under 40ms, checks: VPN / Proxy detection (including residential proxies) Antidetect browser detection (Kameleo, GoLogin, AdsPower, Dolphin) AI bot detection (LLM-powered scrapers that mimic humans) Device intelligence (incognito, VM, emulator, browser tampering) 3D face liveness (optional — proves the user is a real person at the camera) How It Works 1. Add the SDK to your frontend: html <script async src="https://sntlhq.com/assets/edge.js"></script> 2. Call the API from your backend: const result = await fetch('ht

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