How the check works
- Public data collection. TG Inspector reads recent public posts, views, reactions, comments, subscriber counts, and channel metadata.
- Deterministic scoring. Fixed rules combine independent signals into a manipulation-risk score and a cleanliness index.
- Plain-language explanation. An LLM summarizes comments and findings, but it cannot change the calculated score, grade, or traffic-light verdict.
- One complete report. You receive the metrics, evidence, limitations, expected ad reach, and questions worth asking the channel owner.
What the report shows
Methodology and limits
The score is evidence-based, not an accusation. It estimates statistical risk from public signals. It does not prove that a channel owner intentionally bought bots or views.
Unavailable signals remain unavailable rather than being converted to zero. When comments, reactions, or enough posts cannot be observed, report confidence decreases.
The LLM explains the evidence and analyzes language patterns. The deterministic scoring code owns the numerical result.
Who uses it
- Advertisers — assess reach and manipulation risk before sending money.
- Channel owners — share an independent check instead of asking buyers to trust a screenshot.
- Agencies — check several candidate channels before finalizing a media plan.
Frequently asked questions
What does TG Inspector check?
It analyzes public Telegram channel signals: subscribers, post views, reactions, comments, view distribution, and subscriber dynamics. The report includes a cleanliness index, manipulation risk, and ERR.
Can it prove that a channel bought fake engagement?
No. The result is a probabilistic risk assessment based on public data, not proof of intent. Multiple independent signals increase confidence.
How do I check a Telegram channel?
Enter its @username or t.me link. TG Inspector opens the Telegram bot, collects a fresh public snapshot, and returns a full report.