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Damaged Stock — Exact Row Deduplication + Numeric Row Ordering
x402
Damaged Stock — Exact Row Deduplication + Numeric Row Ordering 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).
Deduplicates and numerically orders supplied damaged stock records (handled_units, damaged_units) across up to 200 rows, producing 2 local analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Damaged stock — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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 local analytical reports covering: (1) exact row deduplication results identifying and removing fully duplicate rows from the input dataset, and (2) numeric row ordering of the specified field (handled_units or damaged_units) across up to 200 input rows. No external lookups or predictions are performed; all processing is local.
Example use cases
Retail warehouse damage deduplication
“I've got 80 rows of damaged stock data from our warehouse groups — row_id, store_group, date, handled_units, and damaged_units — please remove any exact duplicate rows and order everything by handled_units numerically, then give me the two reports.”
Multi-store damaged units audit
“Can you take these 120 damaged stock records across our store groups and run exact row deduplication plus a numeric ordering on damaged_units? I need both reports to check data quality before our monthly review.”
Daily damaged goods data cleanup
“Here are today's damaged stock entries — about 40 rows with row_id, store_group, date, handled_units, and damaged_units — please deduplicate them exactly and give me both reports sorted by handled_units so I can spot any anomalies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-18-042?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quickly clean a damaged stock dataset of exact duplicates and impose numeric ordering on either handled_units or damaged_units, without needing live data lookups, predictions, or external integrations. Best suited for offline or batch retail data quality workflows involving up to 200 rows of damaged goods records.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, store_group, date, handled_units, damaged_units) cause row-level errors
- Invalid date format (non YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array returns no report output
- Invalid field enum value (not handled_units or damaged_units) causes field selector error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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