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Supplier Delivery Evidence — String Normalisation + Secondary-Measure Weighted Mean
x402
Supplier Delivery Evidence — String Normalisation + 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).
Normalises string fields and computes a secondary-measure weighted mean over supplier delivery evidence records (deliveries, on_time_deliveries) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier delivery evidence — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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
Two analytical reports per call: (1) a string-normalised version of the input delivery evidence records, and (2) a secondary-measure weighted mean computed over the selected numeric field (deliveries or on_time_deliveries), grouped by company_group and/or date, covering up to 200 input rows.
Example use cases
Supplier on-time rate weighted summary
“I've got 80 rows of delivery records across several supplier groups with dates and delivery counts — can you normalise the string fields and compute the weighted mean for on_time_deliveries so I can compare supplier performance?”
Monthly delivery evidence batch report
“Here are 200 rows of our monthly supplier delivery evidence including deliveries and on_time_deliveries per company group — please run string normalisation and give me the secondary-measure weighted mean for the deliveries field.”
Multi-supplier delivery data cleanup
“I need to clean up string fields in my supplier delivery dataset (about 60 rows, with company_group, date, deliveries, on_time_deliveries) and get a weighted mean summary — can you run both reports on it?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-15-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular supplier delivery evidence (up to 200 rows) and need both string field normalisation and a secondary-measure weighted mean computation in a single call without requiring live lookups, predictions, or external integrations. It is well-suited for batch reporting on supplier on-time delivery performance where data is already available locally.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, deliveries, on_time_deliveries) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null values in numeric fields may affect weighted mean computation
- Invalid field enum value (not 'deliveries' or 'on_time_deliveries') causes error
- Payment failure (insufficient USDC balance) blocks endpoint access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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