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OopsBusted is a private dating-app search workflow built to help users review likely profiles with identifying details, optional AI photo matching, screenshots, and proof-oriented result packaging.

The live intake currently asks for a first or full name, age range, gender, and city. If you have a recent face photo, you can add AI facial recognition as another signal. The search returns a teaser first, then fuller screenshots and profile detail views when the result is strong enough to unlock.

Yes. The workflow is positioned around private searches with no account linking, no target alerts, and discreet delivery of results inside the OopsBusted flow.

Today, the live search flow works from a first or full name plus age range, gender, and city. A recent, clear face photo is optional, but it helps when you want AI facial recognition to add another matching signal.

There is no single fixed accuracy rate for every search. Confidence depends on the strength of the clues you provide, especially recent clear photos, consistent age and location context, and whether a live profile is still available to match. Results should be reviewed as evidence, not treated as an automatic legal conclusion.

A no-match outcome can mean no supported active profile was found, the available clues were not strong enough, or the profile is stale, hidden, or already deleted. It should not be treated as proof that someone has never used a dating app.

When the workflow finds a strong enough likely match, results are packaged into screenshots, summary notes, and profile detail views so you can review the evidence directly and more carefully.

Refund review follows the published refund policy, so it is best to read that before checkout if eligibility affects your decision. The policy is intended for technical failure or inaccurate fulfillment scenarios, not as a blanket guarantee for every completed search outcome.

The core use case is private dating-profile verification and relationship clarity. It is not positioned as a general surveillance, stalking, or people-tracking tool.