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Business Location Inventories — Category Frequencies + Base-100 Series
x402
Business Location Inventories — Category Frequencies + 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).
Analyzes up to 200 rows of business location inventory data to produce two reports: category frequency distributions and a base-100 indexed series for location_count or verified_locations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Category frequencies + Base-100 series: Category frequencies + 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) category frequency counts showing how often each company_group value appears in the supplied rows, and (2) a base-100 indexed series for the chosen numeric field (location_count or verified_locations) relative to a specified baseline row, covering all supplied rows up to 200.
Example use cases
Franchise growth benchmarking
“I have weekly location counts and verified locations for three franchise groups across 52 weeks — can you compute category frequencies for how often each group appears and index the location_count to a base-100 series starting from week 1?”
Retail chain expansion audit
“Here's a dataset of 150 store inventory records by company group and date — run category frequencies on the company_group column and give me a base-100 index series for verified_locations starting from the very first row.”
Multi-brand location trend report
“I'm tracking location_count for five brand groups over the past 6 months, up to 200 rows — can you show me how frequently each brand appears and normalize the location_count to a base-100 trend series anchored at row index 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-105?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected business location inventory data (up to 200 rows) and need two specific analytical outputs — category frequency distributions and a base-100 normalized index series — without requiring live data lookup, external enrichment, or prediction. It is particularly well-suited when you want both reports in a single low-cost call and are working with company-grouped, date-stamped location or verified-location metrics.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- base_index value out of range (0–199) — error returned
- Missing required row fields (row_id, date, company_group) — schema validation failure
- All null values for the selected numeric field — base-100 computation may fail or return nulls
- Non-numeric values in location_count or verified_locations — type validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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