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Business Website Inventories — Record Quality Audit, String Normalisation & Exact Row Deduplication
x402
Business Website Inventories — Record Quality Audit, String Normalisation & Exact Row Deduplication 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 identifies exact duplicate rows in business website inventory data (page_count, verified_pages) for up to 200 rows, producing 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business website inventories — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 analytical reports covering: (1) a record quality audit flagging missing, null, or out-of-range values in page_count and verified_pages fields; (2) a string normalisation report showing standardised versions of company_group and other string fields; and (3) an exact row deduplication report identifying rows with identical field values across the supplied dataset. All analysis is performed locally without external lookups.
Example use cases
Pre-pipeline data quality gate
“Before I load this batch of 150 business website inventory rows into our data warehouse, can you run a full record quality audit, normalise all the company_group strings, and flag any exact duplicate rows? Here are the rows with row_id, company_group, date, page_count, and verified_pages values.”
Deduplication check for merged datasets
“I just merged two website inventory exports and I suspect there are duplicate entries — can you run an exact row deduplication report on these 80 records covering page_count and verified_pages, and also tell me if there are any quality issues or inconsistent strings in the company_group field?”
Monthly inventory hygiene review
“It's end of month and I need to clean up our website inventory data before reporting — can you audit record quality, normalise the company group names, and identify any exact duplicate rows across these 200 entries that each have a row_id, date, company_group, page_count, and verified_pages?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-23-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, cost-effective batch of three data-quality operations (audit + normalisation + deduplication) on business website inventory data with page_count and verified_pages fields in a single API call. It is ideal for offline/local analytical processing with no external data lookups, predictions, or side effects. Best suited for datasets of up to 200 rows where you want consistent, reproducible results.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, page_count, verified_pages) causes schema rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside allowed range cause schema rejection
- Empty rows array (minItems:1 not met) returns an error
- Payment of 0.01 USDC not provided causes x402 payment-required rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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