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Business Website Inventories — Record Quality Audit + String Normalisation + Numeric Distribution
x402
Business Website Inventories — Record Quality Audit + String Normalisation + Numeric Distribution 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 analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of business website inventory data containing 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 distribution: Record quality audit + String normalisation + Numeric distribution 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
Three independent reports: (1) a record quality audit flagging missing, null, or out-of-range values across the supplied rows; (2) a string normalisation report cleaning and standardising the company_group and date fields; and (3) a numeric distribution report summarising the statistical spread of the selected numeric field (page_count or verified_pages) across all rows.
Example use cases
Auditing dirty website inventory exports
“I just exported 120 rows of website inventory records from our CRM with company_group, date, page_count, and verified_pages columns — can you run a full record quality audit, string normalisation, and numeric distribution report on the page_count field to find data issues before I import it?”
Checking verified_pages distribution by group
“I have 80 rows of business website data across multiple company groups and I want to understand how verified_pages values are distributed — can you run the three analytical reports on this dataset focusing on the verified_pages field?”
Pre-pipeline data validation for website inventory
“Before we load this batch of 200 business website inventory records into our data warehouse, can you run a record quality audit, string normalisation, and numeric distribution check on the page_count field so we can catch any quality problems first?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-23-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, numeric distribution) on business website inventory data at a low flat cost of $0.01 USDC for up to 200 rows. It is ideal for pre-pipeline data validation, offline batch analysis, or quick data health checks without requiring live lookups or external integrations. Prefer it over single-report endpoints when you need all three report types simultaneously on the same dataset.
Side effects
- More than 200 rows submitted — request will be rejected as it exceeds the row limit
- Missing required fields (row_id, company_group, date, page_count, or verified_pages) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- row_id exceeds 80 characters or is empty — validation error
- field enum value other than page_count or verified_pages causes rejection
- Empty rows array (minItems: 1 not met) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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