Verify before you trust
Research grounded in sources, policies, and real-world signals — not opinions.
About ShouldEye
The multi-model AI decision layer for a world of deepfakes, scams, and algorithmic deception.
Core Methodology
Our verification engine combines deep signal analysis with real-time research to catch what simple code misses.
Research grounded in sources, policies, and real-world signals — not opinions.
Detects common traps like cloned stores, fake urgency, and hidden charges.
Analyze terms, pricing, returns, and privacy risks automatically.
Signals come from real experiences and resolution outcomes — not just ratings.
When risk is high, ShouldEye suggests safer options when possible.
Track changes over time — policy edits, complaint surges, pricing shifts.
Support Center
Everything you need to know about our verification methodology and safety protocols.
ShouldEye is a multi-model AI verification engine designed to protect you from digital risks. We use advanced reasoning models to analyze websites, apps, and offers in real-time, catching scams and fraudulent patterns that traditional security software often misses.
Join thousands of users who verify before they trust.