Private AI search
Sample Proof
See exactly what a completed Proof Package looks like
This gallery shows how a completed proof package explains confidence, uncertainty, and screenshot evidence without exposing any real customer or target.
Confidence framework
Each result is explained through multiple signals such as photo similarity, platform fit, location overlap, and freshness rather than a face match alone.
Context and metadata
The sample package shows the app source, visible profile details, and timing cues that help separate strong proof from weaker leads.
Visual proof and uncertainty notes
Screenshot review is paired with notes about low-confidence, stale-profile, and no-match outcomes so buyers know how to read the evidence responsibly.
Confidence model
See how the proof package explains why a match is strong
The sample package now previews the same evidence factors users should apply in the live results route so confidence language stays consistent before and after purchase.
Photo similarity
Facial structure, repeated selfie angles, and other visible features should line up across the source photo and the unlocked profile screenshots.
Platform fit
A result gets stronger when the surfaced app matches the likely platform, age band, or behavior pattern you already expected.
Location overlap
City, travel pattern, and distance cues add weight when they align with what you already know about the target.
Prompt and bio similarity
Repeated phrasing, prompt themes, job clues, and profile habits can strengthen identification beyond the face alone.
Recentness or activity
Activity notes and screenshot timing help separate a current lead from a stale, paused, or deleted profile.
Review multiple screenshots before treating the profile as usable proof.
The package also explains what low-confidence and no-match outcomes do and do not mean.
Review the strongest detail page first, then keep the proof private and contextual.
Open the detail view and compare multiple screenshots before deciding whether the lead is usable.
Do not let a weak match outrun the evidence that supports it.
Preview the evidence standard before checkout
The samples below use mocked data to protect real user privacy. The point is not only to show pretty screenshots. It is to show buyers how strong proof, mixed proof, and missing proof are interpreted.
Weak results still need restraint
A weak match usually means one or more confidence factors did not line up strongly enough to treat the result as decisive proof.
- Outdated or filtered photos can resemble the target while still being the wrong person.
- One screenshot without matching metadata is weaker than a full profile sequence.
- Use low-confidence results as a reason to review carefully, not to escalate immediately.
No visible match is still an interpretable outcome
A clean search does not prove the person has never used a dating app. It means the workflow did not surface a reviewable match with enough visible evidence right now.
- The profile may be deleted, hidden, paused, or outside the currently visible search surface.
- Poor source photos and missing optional clues can reduce the chance of a confident match.
- Treat no-match outcomes as inconclusive rather than as final innocence or final guilt.
Stale profiles and recycled photos create ambiguity
Some cases stay ambiguous because profile images are old, screenshots are thin, or the account changed after the user relationship timeline shifted.
- Old photos can make a real account look current when it no longer is.
- Deleted profiles remove context that would otherwise strengthen or weaken the case.
- The safest interpretation comes from multiple aligned signals, not from urgency alone.
Complete the trust profile
Sample reports prove the value. Explore our technical security and see how our success stories translate into real outcomes.
Start Private Search
Move into the live intake once the route, trust threshold, and evidence standard are clear enough to act.
Pricing
Compare one-time app checks, broader bundles, and proof-related add-ons before checkout.
Compare Alternatives
Use the comparison hub when the buyer still needs route-choice or competitor context before purchasing.
Before You Buy
Resolve the last objections around scam risk, recurring billing, no-match outcomes, accuracy, and data removal before checkout.
Verification Hub
Narrow catfish, romance-scam, AI-image, and before-confrontation questions into the right proof route.
Transparency Report
See representative monthly search volume and the safeguards that prevent the target from being alerted.
Security Protocol
Examine the technical safeguards, encryption standards, and data residency protocols.
Privacy Controls
Review retention windows, deletion boundaries, and the public request path in one control hub.
Ethics & Safety
Understand our operational boundaries and zero-tolerance policy for harassment.