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Procurement Adjacent Row Changes
x402
Procurement 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 2026-10-24).
Computes period-over-period adjacent row changes for procurement records (ordered_units or unit_cost) across up to 200 supplier rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Procurement - Adjacent row changes: Adjacent row changes for Procurement. 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 row-by-row adjacent change calculations for the selected numeric field (ordered_units or unit_cost) across the submitted procurement records, showing the delta between each consecutive row within the dataset. Output is bounded to the submitted data with no external enrichment.
Example use cases
Supplier cost drift detection
“I have 50 daily procurement rows for our top 3 suppliers with dates and unit costs — can you compute the adjacent row changes in unit_cost so I can see where costs spiked between consecutive days?”
Order volume change tracking
“Here are 120 procurement records sorted by date with ordered_units for each supplier — can you calculate the period-over-period adjacent row differences in ordered_units to flag any big swings?”
Procurement audit for consecutive periods
“I need to audit our procurement data for Q4 — I have 80 rows with supplier names, dates, and unit costs. Run adjacent row changes on unit_cost so I can spot unusual jumps between consecutive entries.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-procurement-period-change?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have structured procurement tabular data and need to compute sequential, adjacent row-to-row changes in either ordered quantity or unit cost — particularly for audit trails, cost drift detection, or period comparison within a batch of up to 200 records. Prefer this over general analytics APIs when the specific computation needed is a local numeric delta between consecutive procurement rows with no external data dependencies.
Side effects
- Fewer than 1 row submitted returns an error
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Missing required fields (row_id, supplier, date, ordered_units, unit_cost) causes rejection
- Invalid field enum value (not 'ordered_units' or 'unit_cost') causes error
- Null numeric values may produce null deltas in output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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