Free to check — built for campaign owners
Is this clip legit?
Check any YouTube link — or a whole campaign — for an honest read of its public signals, the patterns purchased views leave behind. A bot-signal read, not a virality score. One free sign-in keeps bots out of the bot-checker.
Reads public signals from the official YouTube API — like/view and comment/view ratios, and view velocity. Not a virality score, and it can't see retention.
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The free check reads public YouTube signals only — it can't see retention. That's owner-only, and the proof that holds up (below).
What a check looks like
A real check looks like this — example numbers.
Example clip — how a real check reads
Example Creator
- Views
- 48,213
- Likes
- 2,140
- Comments
- 312
- Likes / 1k views
- 44.4
- Comments / 1k views
- 6.47
- Views / day
- 5,357 · 9d
- Likes are 44.4 per 1,000 views — in the normal range for real viewership.
- Comments are 6.47 per 1,000 views — a healthy amount of conversation.
This reads only public YouTube signals — the patterns purchased views tend to leave behind. It is not a virality score, and it cannot see retention. The hardest number for bots to fake is retention, and you only get it when the clip runs through Everpop.
The problem with payout day
Screenshots lie
A view-count screenshot is trivially faked and says nothing about where the views came from.
Botted views drain budgets
Purchased views look real at payout time. You pay, the bots leave, the brand gets nothing.
Manual checking doesn't scale
Eyeballing 200 submissions every payout cycle is a full-time job nobody wants.
How public signals reveal botting
Engagement ratios
Bots inflate the view count but don't like or comment. When likes and comments per 1,000 views collapse far below normal, that gap is a common botting signature.
View velocity
A wall of views arriving in a day with almost no engagement is the shape of a purchased burst — visible from public numbers alone.
Always the raw numbers
Every read shows the actual views, likes, comments and ratios it judged on. No black-box score, no fake precision, and never a prediction of virality.
The hardest number for bots to fake is retention
You only get it when an eligible YouTube Short runs through Everpop — the receipt page shows retention fetched from the YouTube Analytics API at 48 hours and 7 days, never a creator-entered number or screenshot. A signed pre-publish prediction, when present, is separate; the measured metrics are not separately signed.
The free check reads public signals; receipts are proof straight from the source — numbers pulled from the YouTube Analytics API and served live, on a share link anyone can open — so you can tell a plausible clip from a proven one.