Enter a public Instagram username to review completeness, follower/following balance, posting patterns, and an authenticity-style suspicion score based only on available public data.
The analyzer requests publicly available profile fields through configured providers, then scores signals such as profile completeness, follower/following ratio, bio quality, and post-frequency patterns when those fields exist.
It does not access private accounts, DMs, login credentials, or offline identity documents.
After a successful public lookup, TrueHandle maps available fields into factor labels and a 0–100 authenticity-style score with a Low, Moderate, or High Suspicion verdict.
If the provider cannot return a usable public profile, you see an error instead of a guessed account.
The score summarizes public-signal risk. A healthier score means public cues look more consistent — not that TrueHandle verified a real-world person.
Treat red flags and factor notes as investigative context, especially when engagement is unavailable.
It is a 0–100 analytical score based on available public profile signals such as completeness, follower/following balance, posting patterns, and bio quality. It is not proof of real-world identity.
No. TrueHandle does not verify identity. It only assesses publicly available profile signals and reports a suspicion level.
Instagram often does not expose enough public likes/comments for a reliable engagement rate. When required data is missing, TrueHandle shows N/A instead of inventing 0%.
Lookups may be cached briefly on the API server to reduce provider cost and rate limits. TrueHandle is not designed as a permanent username archive. See Privacy for details.
