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Business Location Inventories — String Normalisation + Daily Sum Series
x402
Business Location Inventories — String Normalisation + Daily Sum 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).
Accepts up to 200 rows of business location inventory data and returns two local analytical reports: string normalisation and daily sum series for location_count or verified_locations fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — String normalisation + Daily sum series: String normalisation + Daily sum 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) string-normalised versions of the supplied business location inventory records and (2) a daily sum series aggregating the selected numeric field (location_count or verified_locations) by date, computed entirely from the supplied data using local analytical engines.
Example use cases
Daily location count rollup by group
“I have a CSV of our business location inventory with columns for row_id, company_group, date, location_count, and verified_locations — about 80 rows covering October 2026. Can you normalise the strings and give me a daily sum series for location_count across all our company groups?”
Verified locations trend summary
“Here are 120 rows of our location inventory records with company_group, date, and verified_locations values. Can you run the string normalisation and daily sum series report on the verified_locations field so I can see how totals trend day by day?”
Multi-group inventory data cleanup
“We have two company groups — 'group-a' and 'group-b' — with about 40 rows of location inventory data across different dates. Can you normalise the text fields and produce a daily sum series for location_count so we can compare daily totals between the groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and daily sum aggregation on business location inventory data (location_count, verified_locations) in a single low-cost call, without requiring external lookups or real-time data. It is best suited for offline batch analysis of up to 200 pre-collected inventory rows where two bundled local reports are needed at minimal cost ($0.01 USDC).
Side effects
- Exceeding 200 rows returns an error or truncated result
- Missing required fields (row_id, date, location_count, verified_locations) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 range cause validation failure
- Empty rows array rejected (minItems: 1)
- Invalid field selector (not 'location_count' or 'verified_locations') causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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