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Business Location Inventories — String Normalisation + Base-100 Series
x402
Business Location Inventories — String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Performs string normalisation and base-100 index series computation on supplied business location inventory records (location_count, verified_locations) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied business location inventories records (location_count, verified_locations). 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 analytical reports: (1) a string-normalised version of the supplied business location inventory records, and (2) a base-100 index series for the selected numeric field (location_count or verified_locations), anchored at the specified base_index row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Retail chain expansion tracking
“I have monthly location counts and verified locations for three retail company groups across 12 months — normalize the group name strings and build a base-100 index series for location_count using the first row as the base, so I can see relative growth.”
Franchise verification audit report
“Can you take these 50 rows of franchise location inventory records with company group names and verified_locations figures, clean up the string fields, and give me a base-100 series indexed from row 0 for verified_locations so I can benchmark each group against the starting point?”
Multi-brand location footprint comparison
“I need to compare how our three brand groups have grown their location footprints over the past quarter — here are 30 rows of location_count and verified_locations data. Normalize the brand name strings and produce two base-100 index reports, one for each metric, starting from index 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of business location inventory data with location_count and/or verified_locations fields and need both string normalisation of company group labels and a base-100 indexed time series in a single low-cost call. It is best suited for offline/batch analytical reporting on supplied data rather than live lookups or predictions.
Side effects
- Missing required fields (row_id, company_group, date, location_count, verified_locations) causes validation error
- More than 200 rows submitted exceeds maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- base_index out of range (>=number of rows submitted) causes error
- Null values in numeric fields may affect index computation
- field value not in enum ['location_count','verified_locations'] is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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