Free example - how coordinated comments look in data
A 22-comment sample with planted traps: a machine-regular burst the audit must flag, and a single-comment account it must refuse to judge. Evidence attached.
Fake Comment Detector — coordination audit for comment exportsmentat-logic/mentat-authenticity-audit
Item type
VERDICT
Why
Account
+10 fieldsTextNumberBooleanListObject
Input
Comment rows to audit
id:c01+21
profileId:90001+21
profileName:Dana R.+21
date:2026-07-20T14:00:00Z+21
text:Absolutely love this, best decision I ever made!+21
Output fields
Item type
VERDICT
Why
Account
Account
Level
Comments
Signals (with evidence)
Bursts found
Unique comments
Duplicates removed
Accounts seen
Pct comments from flagged accounts
Report url
Sign up on Apify01
Create your Apify account to access the Fake Comment Detector — coordination audit for comment exports.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
