50+ detection signals. Real-time analysis. Plug-and-play API. Everything your team needs to stop fraud at scale.
Trained on 10B+ data points. Our ML models continuously improve detection accuracy and adapt to new fraud patterns.
Cross-reference IP location with billing, language, and timezone. Detect geo-spoofing instantly.
Browser fingerprint analysis detects emulators, headless Chrome, and device spoofing with 98%+ accuracy.
Mouse movement, click timing, scroll depth, and session behavior patterns identify non-human activity.
Real-time lookup against 200M+ flagged IPs across botnets, click farms, and residential proxy networks.
Detect VPNs, SOCKS proxies, HTTP proxies, and Tor nodes with industry-leading accuracy.
Deep user-agent analysis identifies fake browser strings, outdated agents, and bot impersonators.
Verify traffic referrer chains and detect direct injection, cookie stuffing, and referrer spoofing.
Simple REST API. SDKs for popular platforms. Webhooks for real-time notifications.
Daily, weekly, monthly breakdowns of clean vs. invalid traffic volume with exportable reports.
Visualize where fraud originates with country and region-level heatmaps.
Categorized fraud types: bots, click farms, VPNs, proxies — each with drill-down detail.
