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Supplier Fill Record Quality Audit + Base-100 Series
x402
Supplier Fill Record Quality Audit + Base-100 Series 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).
Runs two analytical reports on up to 200 supplier fill records: a data quality audit and a Base-100 index series for ordered_units or received_units.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier fill — Record quality audit + Base-100 series: Record quality audit + Base-100 series for supplied supplier fill records (ordered_units, received_units). 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 independent analytical reports: (1) a record quality audit flagging data issues such as nulls, out-of-range values, or structural problems in the supplied rows, and (2) a Base-100 index series for the selected numeric field (ordered_units or received_units), computed relative to the specified base row index. Both reports are generated locally without external lookups.
Example use cases
Retail supplier fill data quality check
“I've got supplier replenishment records for two store groups over the past week — can you audit them for data quality issues and flag any missing or anomalous ordered_units or received_units values? Here are my rows with row IDs, store groups, dates, and both unit fields.”
Base-100 indexing for ordered units trend
“Take my supplier fill records for the last quarter — about 150 rows across several store groups — and build me a Base-100 index series for ordered_units starting from the first row, so I can see how ordering volume has trended relative to that baseline.”
Validate received units before reporting
“Before I submit our monthly supplier performance report, can you run a quality audit on our received_units data across all store groups and also give me a Base-100 series for received_units indexed from row 0? I have around 80 rows with row IDs, dates, and store group labels.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-06-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a Base-100 normalization series on supplier fill records (ordered_units/received_units) in a single low-cost call. It is ideal for retail or supply chain analysts validating upstream supplier data before downstream reporting or modeling, especially when working with batches of up to 200 rows grouped by store and date. It does not perform live lookups or predictions, so prefer it for offline or batch analytical pipelines rather than real-time decision support.
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, date, ordered_units, received_units) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- base_index out of range (must be 0–199 and within row count) — error response
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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