CREATORVET · PRODUCT DEMO

Every feature,
hands on.

the same five steps a real campaign runs — find them, check them, judge the risk, watch them, prove it

01 · Cast 02 · Vet 03 · Score 04 · Monitor 05 · Prove

the rankings are LIVE from the tracked list · the simulators run the real scoring code on sample data, and say so

no login

STEP 01

Find the creators

● Live data

Browse creators by category — this table is the real ranking, straight from the tracked list. The top 10 are open to everyone; the locked rows are what an account opens.

Top 5 · category by category

Leaderboard

Top creators by category

#	Creator	Subscribers	Views on recent uploads	Authenticity
1	MrBeast @mrbeast	513M	1.9B	100
2	Keshav Shashi Vlogs @keshavshashivlogs	23M	1.4B	100
3	Nick DiGiovanni @nickdigiovanni	45M	1.3B	100
4	FatSongsong and ThinErmao @fatsongsongandthinermao	26M	1.3B	100
5	Mariano Razo @mariano_razo	47M	1.2B	100
6	Jesser @jesser	49M	1.2B	100
7	V5 Family Show @v5familyshow	20M	1.2B	91
8	Futcrunch @futcrunch	22M	1.2B	100
9	VocaVoca - Kids Songs & Nursery Rhymes @vocavoca	7.1M	1.2B	91
10	Myntra @myntra	3.5M	1.2B	78
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6+ more creators in the full list

The top 10 are open to everyone. An account opens the whole ranked list, with scores and contacts.

STEP 02

Check the audience is real

Sample data

Drag the sliders to build a creator and watch the score react — bought subscribers, fake views and spikes that could not happen naturally each trip a different flag. These are the exact thresholds the real scorer uses.

Presets:

Subscribers2MViews · last 30 days45KEngagement rate1.8%Biggest sub-spike vs typical day24×Lifetime views per subscriber2.5

high-risk

recent views/sub: 0.022

▲Very low recent views/sub (0.022) — inactive or bought subs
▲Low lifetime views/sub (2.5)
▲Subscriber spike 24× a typical day — possible bought subs

Same thresholds and penalties as the production scorer — move a slider and watch which flag trips.

STEP 03

Judge what they've published

Sample data

Three sample creators, three verdicts, judged to the industry's GARM brand-safety standard. Click through them — every verdict comes with a reason in plain words and the exact videos behind it.

Review recommended64/100medium risk

Why this verdict — human-readable, per creator

“Mostly on-brand fitness content, but two recent uploads reference alcohol — flagged for a human review before a family-brand activation.”

Alcohol

Vegas cheat-day vlog — open bar editionalcohol

Drinks with my coach: honest career talkalcohol

Full-body dumbbell workout, hotel-room editionclean

Every verdict carries its reason and the specific videos that tripped it — the audit trail is the product.

STEP 04

Watch them while it runs

Sample data

Press play for a day of the campaign: new videos land one by one, each checked as it goes up. One of them promotes a competitor — watch the alert fire.

Every new upload is scored as it goes up.

Posts scanned

0/6

Views delivered

Conflicts

Press play — the creator list’s uploads will land here as the campaign day unfolds.

STEP 05

Prove what it added

Sample data

Dial the campaign's effect up and down, and watch the naive before-and-after number drift away from the honest one — the one that also subtracts what similar creators did over the same dates.

Simulated campaign effect+18%

Show matched control cohort

Activated creators (treatment) Matched control (not activated) Campaign start

+18.1%difference-in-differences lift vs. the control — naive pre/post says +24.0%, the control nets out what would have happened anyway.

The control cohort is buildable because we track the whole category — similar creators who weren’t activated.

Every feature,hands on.

Find the creators

Top creators by category

Check the audience is real

Judge what they've published

Watch them while it runs

Prove what it added

Now try it on a real creator.

Every feature,
hands on.