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Business Location Inventories — Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Business Location Inventories — Record Quality Audit + String Normalisation + Grouped Numeric Summary 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).
Runs three local analytical reports on business location inventory data: a record quality audit, string normalisation, and a grouped numeric summary for location_count or verified_locations fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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 up to 200 input rows: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report standardising company_group and other string fields; (3) a grouped numeric summary aggregating the selected field (location_count or verified_locations) by company_group. All processing is done locally with no external lookups.
Example use cases
Pre-analysis data quality check
“I have a spreadsheet of business location records with company groups, dates, and location counts. Can you audit them for quality issues and normalise the company_group strings before I run my analysis? Up to 150 rows, and I want the numeric summary grouped by location_count.”
Verified locations group comparison
“Can you take my verified_locations inventory data across multiple company groups and give me a grouped numeric summary so I can compare how many verified locations each group has? I also want a quality audit of the records. I'm passing about 80 rows.”
Data cleanup before reporting
“We're preparing a quarterly location report and need to clean up our inventory dataset first — can you run string normalisation on the company_group column and flag any record quality issues in our 120-row dataset? Also group the verified_locations numbers by company.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical reports (quality audit, string normalisation, and grouped numeric summary) on business location inventory data in a single call for up to 200 rows. Prefer it over single-purpose endpoints when you want all three reports at once at a low fixed cost ($0.01 USDC). It is best suited for offline/batch data cleaning and summarisation — not for live location lookups, geospatial queries, or external data enrichment.
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, company_group, date, location_count, or verified_locations) cause row-level errors
- Date field not matching YYYY-MM-DD pattern causes validation failure
- Numeric values outside the allowed range trigger rejection
- Empty rows array returns an error
- Invalid field enum value (not location_count or verified_locations) causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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