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Supplier Delivery Evidence — String Normalisation + Date by Category Pivot
x402
Supplier Delivery Evidence — String Normalisation + 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).
Normalises string fields and produces a date-by-category pivot report for up to 200 rows of supplier delivery evidence data (deliveries and on-time deliveries).
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier delivery evidence — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied supplier delivery evidence records (deliveries, on_time_deliveries). 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 derived from the supplied rows: (1) a string normalisation report cleaning company_group and related text fields, and (2) a date-by-category pivot table aggregating the selected numeric field (deliveries or on_time_deliveries) by date and company_group. No external data is fetched; all analysis is performed locally on the supplied rows (up to 200).
Example use cases
Supplier on-time rate pivot by group
“I have 150 rows of supplier delivery evidence with dates, company groups, and on_time_deliveries counts — can you pivot those by date and category so I can see which groups are performing best over time? Use the on_time_deliveries field for the pivot.”
Cleaning messy delivery string data
“Our supplier delivery export has inconsistent string formatting in the company_group and row_id columns across about 80 rows — can you run string normalisation on these records and also give me a date-by-category pivot on the deliveries field?”
Weekly delivery evidence summary report
“I've pulled this week's delivery logs for two supplier groups — about 40 rows with dates, deliveries, and on_time_deliveries — please normalise the strings and produce a pivot by date and company group so I can drop it into our weekly performance report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-15-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of supplier delivery evidence and need both string normalisation and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for lightweight, local analytical processing without needing external lookups, predictions, or live data — especially when your data already contains deliveries and on_time_deliveries numeric fields with a company_group category and a date dimension.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — request rejected
- Missing required fields (row_id, company_group, date, deliveries, on_time_deliveries) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Numeric values outside allowed range — validation failure
- Invalid field enum value (must be 'deliveries' or 'on_time_deliveries') — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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