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Support Workload Adjacent Row Changes
x402
Support Workload Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Computes adjacent row-to-row changes for support workload metrics (handling_minutes or resolved_count) across up to 200 typed records
Price / call$0.01
Success—
StatusUnknown
How this service works
Support workload - Adjacent row changes: Adjacent row changes for Support workload. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded adjacent row changes deliverable.
Output
Returns adjacent (row-to-row) change values for the selected metric field (handling_minutes or resolved_count) across the submitted support workload records, enabling sequential delta analysis without external enrichment or forecasting.
Example use cases
Daily handling time drift detection
“I have daily support records for our two queues — group-a and group-b — with handling minutes logged per day. Can you compute the adjacent row changes in handling_minutes so I can see how much our call handling time is shifting day over day?”
Resolved ticket trend by queue
“Here are 120 rows of support data with resolved_count per date and queue. Run adjacent row changes on resolved_count so I can spot where ticket resolution volume jumped or dropped between consecutive entries.”
Support backlog shift analysis
“I need to compare consecutive rows in our support workload dataset to see how handling_minutes fluctuate — I've got about 80 records across three queues from the past month. Can you compute the period changes for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-support-workload-period-change?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local computation of sequential row differences in support workload data (handling_minutes or resolved_count) without external API calls or ML enrichment. Ideal for lightweight period-change analysis on batches up to 200 records at $0.01 per call.
Side effects
- Empty or missing rows array returns validation error
- row_id missing or empty string causes required field error
- date not matching YYYY-MM-DD pattern rejected
- field value not in enum [handling_minutes, resolved_count] causes validation error
- More than 200 rows submitted exceeds maxItems limit
- Numeric values outside ±1,000,000,000,000 boundary rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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