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Damaged Stock String Normalisation + Two-Measure Correlation
x402
Damaged Stock String Normalisation + 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 2026-10-23).
Normalises store/group strings and computes two-measure correlation across up to 200 damaged stock records (handled_units vs damaged_units), returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Damaged stock — String normalisation + Two-measure correlation: String normalisation + 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
Two independent analytical reports per call: (1) a string normalisation output standardising store_group labels across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between handled_units and damaged_units across up to 200 rows. No external lookups, predictions, or live data are included.
Example use cases
Warehouse damage rate correlation check
“I've got 150 rows of daily damaged stock data from our warehouse, each with a store group name, date, units handled, and units damaged — can you normalise the store group labels and run a correlation between handled and damaged units so I can see if higher throughput is driving more damage?”
Retail chain string cleanup and damage analysis
“Our store group names in the damage log are inconsistent — things like 'Grp-A', 'group a', 'Group A' all mixed together. Can you normalise those strings and then run the two-measure correlation on the handled vs damaged units across our 80 records?”
Monthly damaged stock audit across store groups
“Here are 200 rows of damaged stock entries from October covering store groups North and South, each with handled and damaged unit counts — please normalise the group names and produce both correlation reports so I can present them at our monthly ops review.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-18-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both clean up inconsistent store group string labels AND compute a statistical correlation between two numeric measures (handled vs damaged units) in a single low-cost call ($0.01 USDC for 2 reports). It is ideal for offline/batch retail damage audits on datasets up to 200 rows where no live lookup, prediction, or external data enrichment is needed.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, handled_units, damaged_units, date, store_group) causes row rejection
- Null or non-numeric values for handled_units or damaged_units may reduce correlation reliability
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- Insufficient row variance may produce a degenerate or undefined correlation result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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