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Business Location Inventories — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
Business Location Inventories — Record Quality Audit + String Normalisation + Two-Measure Correlation 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 record quality, normalises strings, and computes correlation between location_count and verified_locations for up to 200 rows of business location inventory data, returning 3 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business location inventories — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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 3 reports for up to 200 input rows: (1) a record quality audit flagging missing, out-of-range, or malformed values; (2) a string normalisation report showing cleaned/standardised company_group strings; and (3) a two-measure correlation analysis between location_count and verified_locations. No external lookups or predictions are made; all analysis is local and offline.
Example use cases
Retail chain location data audit
“I have a spreadsheet of location counts and verified locations across our retail groups — can you audit the record quality, clean up the company group names, and tell me how correlated the total location count is with verified locations? I'll send you up to 150 rows with row_id, company_group, date, location_count, and verified_locations.”
Franchise inventory verification check
“We're reviewing our franchise location data before a board presentation. Can you run a record quality audit, normalise the franchise group name strings, and compute the correlation between our location_count and verified_locations columns across our 80 rows of data?”
Multi-brand location data QA
“I've exported location inventory records for 5 company groups over the past quarter — about 200 rows. Please audit them for data quality issues, standardise the group name strings, and show me the correlation between total locations and verified locations.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-05-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular business location inventory data (up to 200 rows) and need a combined data quality audit, string normalisation, and numeric correlation analysis in a single call without requiring external data lookups, live verification, or predictions. It is cost-effective at $0.01 USDC for all three reports simultaneously.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, location_count, verified_locations) cause row-level rejection
- Dates not matching YYYY-MM-DD pattern are flagged as malformed
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty input array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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