Destinations · measurement baseline
Metric availability
Nine fields across three documented destinations create 27 modeled classifications. They do not guarantee current non-null measurement coverage.
Twenty-seven cells
Availability matrix
Each cell is an exact modeled state. Field values remain separate from their availability classification.
LinkedIn, Facebook Reels, X, Snapchat Spotlight, Threads, and Bluesky are claimed publicly and absent from this matrix: no metric has been classified for them yet, so every field returns null with a stated reason rather than a number. An empty row is not a zero row.
viewsViewslikesLikescommentsCommentssharesSharessavesSaveswatch_time_sWatch timeavg_watch_pctAverage watchcompletion_pctCompletionfollower_deltaFollower deltaFive exact values
State rules
availableThe modeled baseline says the platform exposes this field.
delayed(2-3d)The field is expected after a two-to-three-day evidence delay.
estimableSuitable evidence could support a derived value.
neverThe platform does not expose the field.
unverifiedRecorded evidence has not verified this field.
Baseline and observation
Verification boundary
Classification, not coverage
The baseline was recorded on 21 August 2026. Real accounts and publish paths were checked on 22 August 2026; fresh per-platform analytics remained pending.
TikTok and Instagram saves remain unverified. YouTube saves is never, and YouTube retention fields are delayed. For a plain-language definition of completion percentage and the difference between null and zero, read the completion-rate glossary.
Value preservation
Agent behavior
Preserve zero
Zero is numeric evidence and remains zero.
Preserve null
Never and unverified include reasons. Other nulls may not.
follower_delta is modeled as estimable but currently normalized to null. Do not invent a derived value.