Daily subscriber and delivery history for one app: a dense series for charting where a missing day is an explicit null rather than a zero, and the same window summed.
Daily analytics series
One point per day for the window, and gaps are explicit nulls rather than
zeros — a chart must not draw "we were not counting" as "we had no users". Each point carries the
subscriber state columns and the derived send/delivery/click columns; the envelope carries
complete, missing_days, backfilled_days, imported_days and state_from so the chart can be
labelled honestly. days is 1–400, until is YYYY-MM-DD (default today).
path Parameters
app_idquery Parameters
daysuntilDaily analytics series › Responses
Dense daily series with completeness flags
Windowed analytics totals
The derived columns summed over the window — sent, delivered, failed, dead,
received, confirmed, clicked, messages — plus ctr and how much of the window is real
(days_with_data against days_requested).
path Parameters
app_idquery Parameters
daysuntilWindowed analytics totals › Responses
Totals for the window