AI can fake humanity.
We verify the real thing.
Trust infrastructure for the post-bot internet. Attention Wallet captures live behavioral signals to prove which sessions are real humans — and which are automation in disguise.

The trust layer of the internet is breaking.
In 2026, "is this a human?" is no longer a checkbox question. It's a behavioral one.
Autonomous agents now click, scroll and convert across the web — invisible to legacy filters.
Captchas, IP heuristics and device fingerprints no longer separate humans from modern automation.
Ad spend, leads and pipeline metrics inflated by non-human sessions you can't see.
The trust layer of the internet is breaking — fast. Platforms need a new signal of human authenticity.
Live human signal verification.
Run a live behavioral verification on yourself. Two verification layers — visual attention integrity and response authenticity — combine into one trust verdict.
Two verification layers. One trust verdict.
First, a video attention check. Then a visual signal check. Together they build your live human trust score.
Your trust verdict, in real time.
The same executive report your team would receive after a full traffic audit — generated live from the signals you just produced.
Run the live verification above to populate your personal verification block.
Until then, the full traffic report below shows a sample audit output.
Traffic mostly verified with optimization opportunities.
Healthy human signal across the majority of sessions. Minor timing clusters flagged for review after 39s. Recommend targeted segment audit before scaling spend.
Executive summary
Audience quality breakdown
Attention performance
Fraud / anomaly detection
Creative / experience insights
Actionable recommendations
- Reduce friction after the second interaction.
- Move key message earlier — before attention decay point.
- Audit suspicious segment separately.
- Increase verification signal depth.
- Optimize pacing after the 35s drop.
Behind every trust score.
Five behavioral layers, captured silently in the background of your verification — fused into one human confidence signal.
Micro-movement, acceleration and hesitation patterns captured live.
Inter-action latency benchmarked against human response distributions.
Click confidence and answer rhythm cross-checked for organic intent.
Linear paths, scripted timing and automation signatures flagged.
Signals fused into a single trust verdict your systems can act on.
Where verified humans matter.
Built for teams where fake engagement, automation and trust failures become real business risk.
Audit paid traffic before scaling spend. Stop optimizing campaigns against non-human sessions.
Separate human users from autonomous agents inside your funnel, API or product.
Defend launches, drops and onboarding flows from coordinated bot participation.
Quantify real human attention. Replace impression theater with verified engagement.
Filter form-fill automation and AI-generated leads before they hit your CRM.
Embed live human verification into signup, checkout and high-risk decision points.
Start simple. Scale when needed.
One verification use case, scoped with the founder.
- 1 verification use case
- Behavioral review
- Founder call
Campaign or traffic-scale verification with executive report.
- Campaign / traffic verification
- Full trust report
- Insights & recommendations
API, SDK and continuous verification at traffic scale.
- API / SDK integration
- Custom integrations
- Custom trust scoring
Run your first free verification audit.
Test Attention Wallet on a real use case — paid traffic, leads, community or product onboarding — before scaling.
Talk to the founder
Direct line. No sales funnel. Bring your traffic problem — we'll scope a verification audit together.
