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Packaging Usage String Normalisation + Adjacent Row Changes
x402
Packaging Usage String Normalisation + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Runs two local analytical reports on packaging usage data: string normalisation of store/date fields and adjacent row change detection for packages_sent or material_grams, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Packaging usage — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes for supplied packaging usage records (packages_sent, material_grams). 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 string normalisation report covering store_group and date fields, and (2) an adjacent row changes report showing sequential differences in the selected numeric field (packages_sent or material_grams) across up to 200 input rows. No external lookups or predictions are performed; all analysis is local.
Example use cases
Retail packaging audit for store groups
“I have packaging usage data for two store groups over the past week — can you normalise the store_group strings and detect any adjacent row changes in packages_sent across my 30 rows?”
Material gram change detection across dates
“Run the two packaging reports on my 80 rows of daily material usage — normalise the date and store strings, and flag adjacent row changes in the material_grams field.”
Consistency check before sustainability report
“Before I submit our sustainability report, can you normalise the string fields and identify step changes in packages_sent across our 120 packaging usage records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-17-029?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and adjacent row change detection on packaging usage data (packages_sent, material_grams) in a single low-cost call. Ideal for retail or supply chain agents processing up to 200 rows of packaging records who want two bundled analytical reports for $0.01 USDC without external API dependencies.
Side effects
- Rows array empty or missing — validation error
- More than 200 rows supplied — request rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid field enum value — rejected, must be packages_sent or material_grams
- Numeric values outside ±1,000,000,000,000 — schema rejection
- Missing required row fields (row_id, store_group, date) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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