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Damaged Stock Adjacent Row Changes + Two-Measure Correlation
x402
Damaged Stock Adjacent Row Changes + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Analyzes up to 200 damaged stock records to produce two local statistical reports: adjacent row changes and two-measure correlation for handled_units and damaged_units.
Price / call$0.01
Success—
StatusUnknown
How this service works
Damaged stock — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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
Returns two statistical reports computed locally on the supplied data: (1) an adjacent row changes report showing delta values between consecutive rows for the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between handled_units and damaged_units across all supplied rows — all computed without external lookups or live data.
Example use cases
Warehouse damage trend analysis
“I have 80 rows of daily damaged stock records from my warehouse with store group, date, handled_units, and damaged_units — can you run adjacent row changes and two-measure correlation on them so I can see how damage rates shift day to day?”
Retail chain damage audit
“We track handled and damaged units across two store groups over the last quarter — please analyze the row-to-row changes and compute the correlation between handled_units and damaged_units for these 120 records so I can spot patterns.”
Inventory QA for damaged goods
“Can you give me both the adjacent row change report and the two-measure correlation report for these 35 damaged stock entries (with row_id, store_group, date, handled_units, damaged_units) from our retail inventory system?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-18-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of retail damaged stock records and need both adjacent row change analysis and two-measure correlation between handled_units and damaged_units in a single low-cost call ($0.01 USDC). Ideal for batch offline analysis of supplied data without needing live lookups, predictions, or external data enrichment.
Side effects
- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, store_group, date, handled_units, damaged_units) causes validation error
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- All-null numeric values may produce undefined correlation results
- Single-row input produces no adjacent row change data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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