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Process Handoffs — Trailing Mean Series + Date by Category Pivot
x402
Process Handoffs — Trailing Mean Series + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Computes a trailing mean time series and a date-by-category pivot table for process handoff records (handoff_count, wait_minutes) supplied by the caller.
Price / call$0.01
Success—
StatusUnknown
How this service works
Process handoffs — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot for supplied process handoffs records (handoff_count, wait_minutes). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports: (1) a trailing mean time series for the chosen field (handoff_count or wait_minutes) computed with the specified rolling window, and (2) a date-by-category pivot table grouping the same records by date and team_group, both derived purely from the supplied input rows (up to 200).
Example use cases
Support team handoff latency trend
“I have daily handoff records for our support teams — can you compute a trailing mean with a window of 5 on wait_minutes and also pivot wait times by team group and date so I can spot which teams are slowing down?”
Operations handoff volume smoothing
“Take these handoff_count rows for groups alpha, beta, and gamma across the last 30 days and give me a rolling mean series with a window of 7 plus a date-by-category breakdown of handoff volumes.”
Cross-team handoff comparison pivot
“I need to compare handoff counts across three team groups week by week — please run a trailing mean with window 4 on handoff_count and generate a pivot table organized by date and team_group for these 150 records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-18-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected process handoff records (up to 200 rows) and need both a rolling-average time series and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline or batch analytical jobs on structured tabular data where no live data lookup, external enrichment, or prediction is needed — just local statistical computation on supplied rows.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Window size smaller than 2 or larger than 200 — validation error
- Missing required fields (row_id, date, team_group) on any row — schema error
- date field does not match YYYY-MM-DD pattern — validation failure
- Invalid field enum value (not handoff_count or wait_minutes) — rejected
- All values null for the chosen field — empty or degenerate output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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