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Business Website Inventories — Record Quality Audit + String Normalisation + Keyed Dataset Comparison
x402
Business Website Inventories — Record Quality Audit + String Normalisation + Keyed Dataset Comparison 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 supplied business website inventory records (page_count, verified_pages): a record quality audit, string normalisation, and keyed dataset comparison against a second dataset — up to 200 rows, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business website inventories — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates in the supplied rows; (2) a string normalisation report standardising company_group and other string fields; (3) a keyed dataset comparison report showing differences between the primary and secondary datasets matched on row_id. All computed locally with no external lookups.
Example use cases
Monthly website inventory data quality check
“I've got this month's business website inventory data with page_count and verified_pages for about 80 companies — can you run a record quality audit on it to flag any bad or missing values, normalise the company_group strings, and compare it against last month's snapshot to see what changed?”
Detecting data drift between two inventory snapshots
“Compare these two business website inventory datasets for me — both have the same row IDs but the page_count values differ between the old and new pull. I want to see a keyed comparison report and a quality audit on the new data, up to 150 rows.”
Standardising company name strings before a merge
“Before I merge our website inventory records, can you normalise the company_group strings across both datasets and give me a string normalisation report? I also need the quality audit to catch any nulls or out-of-range page_count values. About 60 rows per dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-23-207?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, cost-efficient ($0.01 USDC for three reports) offline analysis of business website inventory records — specifically when you want record quality auditing, string normalisation, and keyed comparison in a single call without any external API calls, live lookups, or ML inference. Ideal for batch data hygiene workflows on datasets up to 200 rows where deterministic, reproducible results are required.
Side effects
- Exceeding 200 rows results in a validation error
- Missing required fields (row_id, company_group, date, page_count, verified_pages) cause row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Mismatched row_ids between primary and comparison datasets reduce comparison coverage
- Numeric values outside the allowed range trigger validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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