SignalGate is a real-time fraud and bot detection API for web applications. It is built for teams that operate online funnels — e-commerce, payments, marketplaces, and subscription products — where fraud, fake accounts, and automated traffic reduce revenue, and where over-blocking adds friction that costs legitimate conversions.
At each high-stakes step in a funnel, a lightweight browser SDK reads device and behavioral signals and encrypts them in the browser. SignalGate evaluates them and returns a verdict for that request: allow, alert, or block. Real users pass through without added friction, while invalid traffic, fake accounts, and automated abuse are caught and blocked at that step. The intended outcome is measurable conversion lift alongside fraud reduction — more completed signups and checkouts, lower verification and support spend, and cleaner funnel data.
Teams add SignalGate where conversion and cost matter most:
- Checkout and payment — reduce payment fraud and false declines at the highest-value step.
- Signup and account creation — block fake and duplicate accounts without deterring real ones.
- OTP and SMS verification — stop bot-driven verification requests and the fees they generate.
- Free-trial and subscription activation — keep trial starts genuine.
- Promo, referral, and bonus claims — limit abuse while real customers redeem.
- Login and password reset — reduce lockouts and friction for genuine users.
The platform is configurable per use case. You can set up detection workflows tuned for depth, which surface complex or subtle patterns across many signals, and lighter workflows that run quickly against common fraud patterns. Running both together lets you respond immediately to straightforward abuse while continuing to detect more sophisticated patterns as they emerge.
A built-in dashboard provides time-series graphs of traffic, verdicts, and outcomes for each protected step. It lets you review the conversion associated with a given pipeline and the projected effect of blocking invalid traffic, so the conversion impact of each workflow is measurable rather than assumed.
Verdicts return in milliseconds and integrate into existing flows with minimal setup, so protection stays in the background for legitimate users.
