Sorts caller-supplied placement opportunities by end time and solves the weighted non-overlapping interval problem exactly with dynamic programming. It does not buy inventory, predict conversion, enforce platform policy, model audience harm or guarantee campaign performance.

Normalizes caller-supplied blink deviation, lip-sync error, spectral discontinuity, compression inconsistency and metadata anomaly using declared fixed weights. It does not inspect media, establish authenticity, identify a generator or replace human forensic review; the result is only as reliable as the supplied signals.

Weights likes, comments, shares, saves and clicks, divides by supplied reach, and reports cohort and aggregate points per thousand reached accounts. It does not access a platform, distinguish authentic from manipulated activity, measure sentiment or predict revenue.

Tokenizes caller-supplied campaign and trend keywords, calculates overlap relative to the trend vocabulary, and flags any supplied blocked keyword. It neither discovers live trends nor recommends deception, impersonation or spam; its scoped purpose is a transparent relevance and brand-safety screen.