Audit any public channel for suspicious view, subscriber, and comment patterns. This detector samples recent uploads and high-traffic comment threads to flag bought views, fake subscribers, recycled comments, and suspiciously flat performance.
How it works
The detector scores public channel, video, and comment metadata using weighted heuristic checks.
What it helps with
Use it to prioritize manual reviews before sponsorship decisions, creator due diligence, or competitive research.
Limitations
A risk score is a screening signal, not proof. False positives and false negatives are possible, especially during unusual growth periods.
Every audit returns a verdict pill and a risk score from 0 to 100. Scores under 20 read as Likely organic, 20 to 39 as Some concerns, 40 to 64 as Likely bot-aided, and 65 and above as High bot risk.
The report breaks the score into eight signals, each marked Pass, Warn, or Red flag: like-to-view ratio, comment-to-view ratio, view count uniformity, subscriber growth velocity, comment authenticity, cross-video duplicate commenters, upload cadence regularity, and views per subscriber.
You also get the channel stats behind the score: subscribers, total views, videos scanned, comments sampled, and average and median views. Up to 6 of the recent uploads sampled are shown with their views, likes, comments, duration, and publish date.
For example, the like-to-view check treats 2 to 6 percent as the typical organic range. A channel averaging under 0.5 percent across its recent uploads flags that signal as a red flag, while a channel inside the typical range passes it. The score is a screening signal for due diligence, not proof that a channel bought engagement.
Low like-to-view ratios, weak comment activity, suspiciously flat views, unrealistic subscriber efficiency, spammy comment samples, duplicate commenters, and robotic upload regularity.
No single heuristic proves fraud. Sophisticated click farms can hide in healthy-looking numbers, and legitimate breakout channels can trigger warnings during unusual growth periods.
Marketers, agencies, and creator managers use channel authenticity audits to sanity-check sponsorship candidates before outreach, budget allocation, or partnership approvals.
The tool runs eight heuristic checks across recent uploads and sampled comment threads. Each signal gets a weighted score based on how strongly it correlates with artificial growth patterns, then those scores roll up into an overall risk band.
No. It is a due-diligence tool, not a legal proof engine. The value is in spotting channels that deserve a closer look because multiple suspicious signals align at the same time.
No. It only uses public channel, video, and comment metadata available through the official YouTube Data API. There is no login, no private analytics access, and no scraping around privacy restrictions.
Each audit uses 1 credit. Sign in with Google to run it. New accounts start with 3 free credits, plus 1 free credit every day. Credit packs start at $9 for 25 credits.
A channel URL, an @handle, or a channel ID that starts with UC. Any of the three resolves to the same channel.