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Supplier Delivery Evidence — Adjacent Row Changes + Explicit Missing-Value Fill
x402
Supplier Delivery Evidence — Adjacent Row Changes + Explicit Missing-Value Fill 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).
Analyzes supplier delivery records by computing adjacent row changes and filling missing values explicitly, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier delivery evidence — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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: (1) adjacent row change values showing differences between consecutive delivery records, and (2) a missing-value fill result using the specified method (zero, mean, or median) applied to the chosen field (deliveries or on_time_deliveries). Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Cleaning patchy delivery time series
“I have a supplier delivery dataset with some null values in the deliveries column — can you fill in those missing values using the median method and also show me row-over-row changes, for up to 150 rows across multiple company groups?”
On-time delivery trend analysis
“Can you analyze my on_time_deliveries records for adjacent row changes and fill any missing entries with zero so I can spot gaps and trends in supplier punctuality across different company groups?”
Multi-supplier delivery audit prep
“I need to audit delivery evidence for several suppliers — please run both an adjacent-row-change report and a missing-value fill using mean on the deliveries field for my dataset of about 80 rows grouped by company.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-15-162?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific analytical transformations on supplier delivery data — adjacent row delta computation and explicit missing-value imputation — applied together in a single cost-effective call ($0.01 USDC). Best suited for datasets up to 200 rows where local, offline analysis is acceptable and no live predictions or external data enrichment are needed.
Side effects
- Missing required fields (row_id, date, company_group, deliveries, on_time_deliveries) cause validation errors
- More than 200 rows submitted returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Unsupported fill method or field enum value causes a bad-request error
- Payment not included or insufficient USDC causes a 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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