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Procurement Cycles — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Procurement Cycles — Adjacent Row Changes + 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 2026-10-26).
Computes adjacent row delta changes and secondary-measure weighted mean statistics for procurement cycle records (request_days, approval_days) supplied by the caller.
Price / call$0.01
Success—
StatusUnknown
How this service works
Procurement cycles — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied procurement cycles records (request_days, approval_days). 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
Returns two analytical reports: (1) adjacent row changes showing delta values between consecutive rows for the selected field (request_days or approval_days), and (2) a secondary-measure weighted mean computed across the supplied procurement records. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Procurement approval bottleneck analysis
“I have 50 rows of procurement records with request_days and approval_days for our sourcing and logistics teams dated through Q3. Can you compute the adjacent row changes for approval_days so I can spot where approval times spiked between consecutive entries?”
Weighted mean for request cycle benchmarking
“Run a secondary-measure weighted mean on our procurement cycle data — about 120 rows covering different team groups and dates — using request_days as the field, so we can benchmark average cycle lengths weighted by the secondary measure.”
Cross-team procurement timing trend report
“I want to compare how request_days shift row-by-row across our procurement groups. Take these 80 records tagged by team_group and date and give me the adjacent row changes plus weighted mean for request_days.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-06-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to analyze procurement cycle timing data with both row-to-row delta tracking and weighted mean summarization in a single low-cost call. Best suited for operations analysts processing up to 200 procurement records who need adjacent difference and weighted average insights without any external data dependencies.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, request_days, approval_days) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in the selected field may affect weighted mean computation
- field enum value not one of 'request_days' or 'approval_days' — invalid input
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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