Attention Wallet | Human Verification Layer

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.

Advertising·Communities·AI Platforms·Research
Live signal preview
Behavioral verification running…
Live verification
SESSION · AW-LIVE
Human trust score
91/100
Verified · High confidence
Cursor
natural
Timing
organic
Response
confident
Behavioral signal · strong human pattern
Why now

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.

AI agents imitate humans at scale

Autonomous agents now click, scroll and convert across the web — invisible to legacy filters.

Bots bypass legacy trust systems

Captchas, IP heuristics and device fingerprints no longer separate humans from modern automation.

Fake traffic burns real budgets

Ad spend, leads and pipeline metrics inflated by non-human sessions you can't see.

Detection systems are failing

The trust layer of the internet is breaking — fast. Platforms need a new signal of human authenticity.

Live verification experience

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.

Verification layer 1 · AttentionVerification layer 2 · ResponseTrust verdict
Live human verification

Two verification layers. One trust verdict.

First, a video attention check. Then a visual signal check. Together they build your live human trust score.

Live verification report

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.

Awaiting live verification

Run the live verification above to populate your personal verification block.

Until then, the full traffic report below shows a sample audit output.

Traffic-scale audit example
Executive verdict
CAMPAIGN ID · AW-2026-0421

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.

Estimated media waste risk
€4,200 – €7,800
If scaled without optimization.
Fraud risk
Moderate
11% automation suspicion.
Recommendation
Audit segment
Before increasing spend.

Executive summary

Traffic sessions verified100
Completed sessions91
Invalid sessions9
Average session time3m 08s
Human verification rate82%
Automation suspicion rate11%
Unclear sessions7%

Audience quality breakdown

Verified human82 · 82%
Medium confidence7 · 7%
Suspicious pattern8 · 8%
High automation risk3 · 3%

Attention performance

Average attention retention79%
Verification completion rate91%
Average response speed341ms
Behavioral consistencyModerate – High
Drop-off rate14%
Re-engagement success73%
Attention decay pointafter 39s

Fraud / anomaly detection

Repeated timing clusters3 flagged
Pattern similarity anomaliesModerate
Unnatural consistency2 sessions
Automation signature probability11%
Device irregularities1 flagged
Network clustering anomaliesLow

Creative / experience insights

Peak engagement0:08 – 0:17
Attention drop detectedafter 0:39
Confusion spikeQuestion 3
Verification frictionModerate
Emotional response delaySlight

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.
Final assessment
81/100
Human trust score
Verification confidence
Mod – High
Fraud risk
Moderate
Attention quality
Good
Recommendation
Audit
What just happened

Behind every trust score.

Five behavioral layers, captured silently in the background of your verification — fused into one human confidence signal.

01
Cursor behavior analyzed

Micro-movement, acceleration and hesitation patterns captured live.

02
Timing integrity measured

Inter-action latency benchmarked against human response distributions.

03
Response authenticity scored

Click confidence and answer rhythm cross-checked for organic intent.

04
Anomalies detected

Linear paths, scripted timing and automation signatures flagged.

05
Human confidence modeled

Signals fused into a single trust verdict your systems can act on.

Pricing

Start simple. Scale when needed.

Free Pilot
Free

One verification use case, scoped with the founder.

  • 1 verification use case
  • Behavioral review
  • Founder call
Start free pilot
Most popular
Verification Audit
From €490

Campaign or traffic-scale verification with executive report.

  • Campaign / traffic verification
  • Full trust report
  • Insights & recommendations
Book verification
Enterprise
Custom

API, SDK and continuous verification at traffic scale.

  • API / SDK integration
  • Custom integrations
  • Custom trust scoring
Talk to us
Pilot program

Run your first free verification audit.

Test Attention Wallet on a real use case — paid traffic, leads, community or product onboarding — before scaling.

Contact

Talk to the founder

Direct line. No sales funnel. Bring your traffic problem — we'll scope a verification audit together.