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Damaged Stock Quality Audit and Base-100 Index Series
x402
Damaged Stock Quality Audit and Base-100 Index Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs two local analytical reports on supplied damaged stock data: a data quality audit and a base-100 index series, for up to 200 rows of handled/damaged unit records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Damaged stock — Record quality audit + Base-100 series: Record quality audit + Base-100 series for supplied damaged stock records (handled_units, damaged_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
Two independent analytical reports: (1) a data quality audit flagging issues such as missing values, out-of-range figures, or formatting problems in the supplied rows; and (2) a base-100 index series for the selected field (handled_units or damaged_units), computed relative to the specified base row. No external data or predictions are involved — all analysis is performed on the supplied data only.
Example use cases
Retail chain damage rate quality check
“I have 150 rows of daily damaged stock records across 10 store groups for Q3 — can you run a quality audit on them to flag any data issues, and also produce a base-100 index series for damaged_units starting from the first row?”
Warehouse handling data normalization
“Run a base-100 index series on my handled_units data for these 80 warehouse rows from January through March, using row 0 as the base, and include the quality audit report so I can see if anything looks off.”
Store group damage trend audit
“I need to check the data quality of this damaged stock dataset for our two store groups — 'east-region' and 'west-region' — across 60 date rows, and get an indexed view of damaged_units normalized to base 100 starting at index 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-18-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of retail damaged stock records (handled_units, damaged_units) and need both a data quality audit and a base-100 indexed series in a single low-cost call. It is purely analytical with no external lookups, predictions, or side effects — ideal for offline data validation and normalization workflows. Prefer it over general-purpose analytics when you specifically need the combination of quality auditing and base-indexed series for the handled/damaged units domain.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows supplied — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (>= number of rows supplied) — computation error
- null values in handled_units or damaged_units may affect index calculations
- Malformed row objects missing required fields — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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