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Process Handoffs — Daily Sum Series + Secondary-Measure Weighted Mean
x402
Process Handoffs — Daily Sum Series + Secondary-Measure Weighted Mean 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 daily sum time series and a secondary-measure weighted mean for process handoff records (handoff_count, wait_minutes) supplied by the caller.
Price / call$0.01
Success—
StatusUnknown
How this service works
Process handoffs — Daily sum series + Secondary-measure weighted mean: Daily sum series + Secondary-measure weighted mean 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 analytical reports: (1) a daily sum time series of the specified primary field (handoff_count or wait_minutes) grouped by date, and (2) a secondary-measure weighted mean that weights one measure by the other — both computed locally against the supplied rows (up to 200).
Example use cases
Daily handoff volume trend by team
“I have a week of handoff records across two teams — can you give me the daily sum of handoff_count and the wait_minutes weighted mean for each date? Here's the data: row-1, 2026-11-01, group-a, handoff_count 12, wait_minutes 5; row-2, 2026-11-02, group-b, handoff_count 25, wait_minutes 8; row-3, 2026-11-03, group-a, handoff_count 9, wait_minutes 3.”
Wait time analysis weighted by volume
“For our operations review, run the secondary-measure weighted mean on wait_minutes weighted by handoff_count for these records: row-1 on 2026-12-01 group-alpha handoff_count 50 wait_minutes 10, row-2 on 2026-12-01 group-beta handoff_count 30 wait_minutes 20, row-3 on 2026-12-02 group-alpha handoff_count 40 wait_minutes 15 — field should be wait_minutes.”
Monthly handoff summary for process audit
“I need to audit our process handoffs for October — can you compute the daily sum series and weighted mean across these 5 rows? row-1 2026-10-05 group-x handoff_count 8 wait_minutes 6, row-2 2026-10-06 group-y handoff_count 14 wait_minutes 9, row-3 2026-10-07 group-x handoff_count 11 wait_minutes 4, row-4 2026-10-08 group-y handoff_count 20 wait_minutes 7, row-5 2026-10-09 group-x handoff_count 5 wait_minutes 2. Use handoff_count as the field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-18-142?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 process handoff records and need both a daily sum time series and a weighted mean in a single low-cost call ($0.01 USDC). It is a local analytical computation — no external data is fetched, no predictions are made — so it is ideal for deterministic, reproducible aggregation of supplied operational data. Prefer it over general-purpose analytics tools when you need both reports together with a simple flat-rate payment via x402.
Side effects
- Fewer than 1 row supplied — rejected by minItems validation
- More than 200 rows supplied — rejected by maxItems validation
- Invalid date format (not YYYY-MM-DD) — schema pattern validation failure
- Missing required fields (row_id, team_group, date, handoff_count, wait_minutes) — schema validation error
- Invalid field enum value (not handoff_count or wait_minutes) — schema rejection
- All numeric values null — weighted mean may be undefined or zero
- Payment not attached or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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