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Business Website Inventories — Record Quality Audit, String Normalisation & Missing-Value Fill
x402
Business Website Inventories — Record Quality Audit, String Normalisation & Missing-Value Fill 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).
Audits record quality, normalises strings, and fills missing values for business website inventory data (page_count, verified_pages) across up to 200 rows, returning 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business website inventories — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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 3 independent analytical reports: (1) a record quality audit highlighting issues in the supplied rows, (2) a string normalisation report for fields like company_group, and (3) a missing-value fill report for the specified numeric field (page_count or verified_pages) using the chosen method (zero, mean, or median). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Cleaning monthly web inventory exports
“I've got 120 rows of website inventory data with company_group, date, page_count, and verified_pages — some page_count values are missing. Can you run a quality audit, normalise the strings, and fill those missing page_count values using median imputation?”
Pre-analysis data validation for verified pages
“Before I analyse my verified_pages numbers, can you audit these 80 business website inventory records for quality issues, normalise any inconsistent company group names, and fill missing verified_pages values using mean imputation?”
Standardising multi-group website data
“I have website inventory records across several company groups — about 150 rows — and I need three reports: a record quality audit, string normalisation, and missing-value fill using zero imputation on page_count. Can you run all three?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-23-208?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of business website inventory data (page_count, verified_pages) and need a bundled set of three data quality operations — record auditing, string normalisation, and missing-value imputation — performed locally without any external API calls, live lookups, or predictions. Ideal for pre-analysis data cleaning pipelines at low cost ($0.01 for all three reports).
Side effects
- More than 200 rows supplied — request rejected due to maxItems constraint
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Missing required fields (row_id, company_group, date, page_count, verified_pages) — schema validation failure
- Invalid enum value for field or method parameters — error response
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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