Is this X post real?

A fake engagement detector like Circleboom, TwitterAudit, or Fedica scores how many followers a handle has that look fake. The X post engagement audit scores a single post and tells you whether the engagement on that post is real or coordinated. Different question, different decision. Use both, in sequence: account check before signing a KOL deal, post engagement audit after the post goes live.

Yes, that is the design target. Paid reply pods cluster on three signals: reply velocity under 60 seconds, accounts under 30 days old, and one-direction sentiment bias above 92% positive on a non-trivial post body. When all three drag, the qualified-view share lands under 40%, and the recommendation flags the post as paid-pod pattern.

Real posts log noise too. The FORKOFF ledger median is 69%. Healthy organic lands between 60 and 80%. Above 80% is unusually clean and often happens on smaller accounts with tight follower bases. Single-post audits are diagnostic, not verdicts. Run a five-post audit on the same account to see whether 60% is the pattern or the outlier.

Threads score at the root tweet. Replies inside the thread roll up to the root. Quote tweets and retweets resolve to the source post automatically. If you want to score a specific reply or thread node, paste the canonical URL of that node directly.

An engagement audit runs against a 72-hour engagement window plus a 14-day decay tail. The data pull is the bottleneck. The auditor returns the score in under 30 seconds for posts under 10,000 engagements. Posts above that scale slot into the priority queue and return inside two minutes.

Not in v1. The current auditor reads X (Twitter) public data only. Instagram, TikTok, and YouTube each carry different signal weights and reply patterns. A multi-platform auditor is on the roadmap; the X version ships first because qualified-view ledger calibration is most mature there.

Reply velocity carries the heaviest weight by default, because it is the easiest signal to confirm and the hardest to fake. Real fans reply at human speed. Bot replies burst inside the first 60 seconds. The scoring weights are tunable per cohort, so a news-cycle account can lower the velocity weight without breaking the audit.

No. Paid promos disclosed cleanly with a dedicated audience and time-of-day match score above 70%. Stealth promos with bot inflation score under 50%. The X post engagement audit is a filter, not a polygraph. Treat the output as a strong signal, not a final verdict.

Single-post audits ship in v1. The five-post account audit is the natural next surface and slots into a separate tool route at /tools/x-growth-audit. Both tools share the same scoring engine, so a single-post score and an account roll-up score are directly comparable.

The single-post audit on this page is free. The five-post account audit and the cohort-based brand audit run as part of a managed FORKOFF engagement. Talk to a strategist if you want to fold post auditing into a full-cycle clipping campaign.

Every managed FORKOFF clipping campaign reports qualified views as the primary outcome metric. The auditor exposes the same scoring logic that runs against your campaign clip set. Brands typically run the auditor before signing to validate the scoring approach, then again post-campaign to confirm reported numbers match a third-party check on the same posts.

The auditor lands at 94.2% agreement with human-graded posts on the FORKOFF benchmark set (n=2,400 posts, mixed real and paid promo). False-positive rate sits under 6% on real founder posts. The five-signal model overweights reply velocity because it is the hardest signal to fake at scale.

Single-post audits return a shareable URL with the score, the per-signal breakdown, and the recommendation. PDF export is available on the five-post account audit tier. Cohort audits ship with a CSV of the per-post scores.

Public X engagement data carries the same rate limit for everyone. The auditor batches the data pull so a single audit does not consume your account's rate-limit budget. Audits running through the free tier route through FORKOFF's data infrastructure.

The ledger schema and aggregate numbers are public (12M+ qualified views, 94.2% audit accuracy, $0.003 median CPV). Per-campaign records are private to the brand that ran the campaign. Aggregate calibration data is what the auditor draws from.

One post is the floor. The auditor needs at least 50 engagements on the post to score reliably. Posts with under 50 engagements return a low-confidence flag in the recommendation field rather than a misleading grade.