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Business Website Inventories — Record Quality Audit + String Normalisation + Base-100 Series
x402
Business Website Inventories — Record Quality Audit + String Normalisation + Base-100 Series 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 (record quality audit, string normalisation, and base-100 index series) 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 + Base-100 series: Record quality audit + String normalisation + Base-100 series 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 derived purely from the supplied rows: (1) a record quality audit flagging issues in the data, (2) a string normalisation report cleaning and standardising text fields such as company_group, and (3) a base-100 index series for the selected numeric field (page_count or verified_pages) anchored at the specified base_index row. No external lookups or predictions are made.
Example use cases
Website inventory data quality check
“I have a CSV of 50 website inventory records with columns row_id, company_group, date, page_count, and verified_pages. Can you run a record quality audit, string normalisation, and base-100 index series on all of them, using page_count as the field and base index at position 0?”
Verified pages base-100 trend analysis
“Run the three analytical reports on my verified_pages data across 30 company website rows — I want the base-100 series anchored at row 5, and string normalisation applied to the company_group labels.”
Multi-company page count audit
“I've got 120 rows of website inventory data spanning groups 'group-a' through 'group-d' from 2026-01-01 to 2026-04-30. Please do a record quality audit, string normalisation, and base-100 series on page_count starting from index 0 so I can spot any quality issues.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-23-201?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need purely local, offline analytical reporting on a batch of up to 200 business website inventory records without any live data lookup, external enrichment, or prediction. It is ideal when you need all three reports (quality audit, string normalisation, base-100 series) in a single low-cost call ($0.01 USDC) and your data already contains page_count and verified_pages fields with company group and date context.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, company_group, date, page_count, or verified_pages) — validation error
- Date not in YYYY-MM-DD format — pattern mismatch error
- base_index out of range (must be 0–199) — schema validation failure
- Empty rows array (minItems: 1 violated) — rejected request
- Numeric values outside allowed range (±1 trillion) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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