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Business Location Inventories — Record Quality Audit, String Normalisation & Numeric Interval Filter
x402
Business Location Inventories — Record Quality Audit, String Normalisation & Numeric Interval Filter 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).
Audits data quality, normalises strings, and filters by numeric interval for up to 200 business location inventory records across location_count and verified_locations fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied business location inventories records (location_count, verified_locations). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent reports for the supplied rows: (1) a record quality audit identifying issues such as nulls, out-of-range values, or malformed entries; (2) a string normalisation report for text fields like company_group; and (3) a numeric interval filter report identifying rows where the selected field (location_count or verified_locations) falls within the specified minimum–maximum range. All processing is local with no external lookups.
Example use cases
Franchise location data quality check
“I've got a spreadsheet of franchise location data with company_group, date, location_count, and verified_locations for about 80 locations — can you audit the record quality, normalise the string fields, and filter location_count to rows between 10 and 200?”
Verified locations range filtering for reporting
“Before I send my quarterly report, can you filter our verified_locations data to only rows between 1 and 100, and also run a quality audit and string normalisation on the full dataset? I have around 150 rows with row_id, company_group, date, and verified_locations.”
Multi-group inventory data validation
“We have inventory records from four company groups with location_count and verified_locations fields — can you check the data quality, normalise any inconsistent strings, and flag any location_count values outside the range of 0 to 500 across our 120 records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, batch data quality checks on business location inventory records without any external API calls or live lookups. It is ideal when you have up to 200 rows of location_count and verified_locations data and need all three operations — quality audit, string normalisation, and numeric interval filtering — in a single low-cost call. Prefer this over general-purpose data tools when your data conforms to the business location inventory schema with company_group and date fields.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format not matching YYYY-MM-DD pattern — schema validation error
- Missing required fields (row_id, company_group, date, location_count, verified_locations) — validation failure
- Minimum value greater than maximum value — undefined filter behaviour or error
- Non-numeric values in location_count or verified_locations — schema rejection
- Empty rows array — rejected as minItems is 1
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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