Scammer Youtubers - Verified Risk Scores For Fast Vetting
Win faster campaign trust with a shortlist of verified YouTubers who won’t sink your ROI - but vetting creators is slow and risky. Our AI scores fraud, audits audiences and flags anomalies so you hire clean talent, launch campaigns faster and measure impact – start a free trial.
Hire Trusted YouTubers For Risk-Free Brand Partnerships
We analyzed channels, content and audiences to surface scammer youtubers that match your brief - Top-2, vetted for fraud, reachability and engagement so you can hire confidently.
We refresh fraud and engagement metrics on a rolling 30-day window - profile stats and anomaly signals update in seconds when you paste a channel, so vetting reflects the last 30 days of activity and audience behavior.
Yes. After signup you can export verified fraud and audience reports — PDF and JSON for profile analyses, plus CSV exports for saved lists and campaign data. Exports are available post sign-in so teams can download audited scores, audience breakdowns and shareable files for approvals.
We normalize engagement and reach so apples-to-apples comparisons - ER% (last-30-day avg), min/avg/max views, and posting cadence are standardized across Instagram, TikTok and YouTube. Profiles show normalized ER, view bands and posts/mo side-by-side, letting you spot consistency, growth and audience differences at a glance.
Yes. Shortlist creators in Discovery, move them into the Media Plan Builder as apples-to-apples rows, add outreach fields and notes, then export the live Google Sheet for approvals. Exports (CSV/Google Sheet) are available after signup/sign-in so teams can review and sign off.
Profile snapshots refresh instantly — paste a channel and metrics, fraud signals and anomaly flags update in seconds. All stats reflect a rolling 30-day window, so the data you see is the most recent month of activity for engagement, views and audience behavior.
Yes. We capture posting frequency and last-post recency as part of the normalized L30D dataset. Profiles include posts/mo, cadence context, and recency flags so you can spot one-offs, stale accounts or consistent publishers during rapid vetting.