Start Your Analysis
Enter a phone number or social media handle to analyze digital patterns and suspicious activities.
How It Works
Our advanced algorithm analyzes digital footprints to detect patterns consistent with infidelity:
- Cross-references phone numbers with dating app databases
- Analyzes social media usage patterns and interactions
- Detects inconsistencies in online behavior and location history
- Identifies suspicious messaging patterns and time gaps
- Evaluates emotional sentiment in public social interactions
Why Choose Us?
Our technology doesn’t just search public records – it uses advanced AI to detect patterns that human analysis might miss. We maintain the highest level of discretion and privacy throughout the process.
Customer Testimonials
“After months of suspicion, I finally got clarity. The peace of mind was worth every penny.” – Sarah M.
“The analysis confirmed my trust wasn’t misplaced. Now I can move forward with confidence.” – Michael T.
Analysis Results
Risk Assessment Summary
Our analysis has evaluated multiple factors to determine the likelihood of infidelity or suspicious behavior.
Show Detailed ExplanationThe overall risk assessment is calculated based on multiple factors including dating app presence, communication patterns, location inconsistencies, and social media behavior. Each factor is weighted according to its reliability as an indicator.
Dating App Presence
Our system has analyzed presence on major dating platforms.
Show DetailsThis analysis checks for active profiles on major dating applications including Tinder, Bumble, Hinge, and several others. We also look for recently deleted profiles and usage patterns.
Suspicious Communication Patterns
Our analysis has evaluated communication patterns and timing.
Show DetailsThis metric evaluates patterns such as unusual messaging times, frequency changes, and communication gaps that may indicate hidden conversations.
Location Analysis
Our system has analyzed location data for inconsistencies.
Show DetailsBasic scan provides limited location analysis based on public check-ins and tagged locations only.