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Business Website Inventories — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Business Website Inventories — Record Quality Audit + String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs three local analytical reports on business website inventory records: record quality audit, string normalisation, and numeric row ordering for page_count and verified_pages fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business website inventories — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied business website inventories records (page_count, verified_pages). 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 analytical reports for the submitted rows: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report cleaning and standardising company_group and date strings; and (3) a numeric row ordering report ranking rows by the selected field (page_count or verified_pages). All computed locally with no external lookups.
Example use cases
Audit website inventory data quality
“I have a CSV of our business website inventory records with row_id, company_group, date, page_count, and verified_pages columns — can you run a quality audit on them and flag any bad records? I want all three reports ordered by page_count.”
Normalise company group strings in inventory
“Our website inventory dataset has inconsistent company_group string values alongside page_count and verified_pages numbers. Can you run string normalisation and a quality audit on the up to 200 rows and give me the cleaned output ordered by verified_pages?”
Order inventory rows by verified pages
“I need my business website inventory records sorted numerically by verified_pages field, plus a quality audit and string normalisation pass on all the rows — can you run all three reports at once on this dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-23-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 business website inventory records with page_count and verified_pages fields and need all three of: a data quality audit, string normalisation, and numeric ordering — bundled in a single low-cost call. Ideal for pre-processing pipelines where you want to clean and validate inventory data offline without any external API lookups or live enrichment.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, page_count, verified_pages) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error due to minItems:1 constraint
- Invalid field enum value (not page_count or verified_pages) causes a schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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