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Business Website Inventories — String Normalisation + Date by Category Pivot
x402
Business Website Inventories — String Normalisation + Date by Category Pivot 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).
Normalises string fields and pivots a numeric field by date and company category for up to 200 business website inventory rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business website inventories — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied business website inventories records (page_count, verified_pages). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports: (1) a string-normalised version of the supplied business website inventory records cleaning up company_group and row_id fields, and (2) a date-by-category pivot table aggregating the chosen numeric field (page_count or verified_pages) grouped by company_group across all supplied dates — all computed locally without external lookups.
Example use cases
Website audit data cleanup and pivot
“I have 150 rows of business website inventory data with company_group, date, page_count, and verified_pages fields — can you normalize the strings and give me a pivot of page_count by date and company group?”
Verified pages trend by company segment
“Run string normalization and a date-by-category pivot on my verified_pages data across 80 website inventory records grouped into 'enterprise' and 'smb' company groups, dates spanning last quarter.”
Multi-group site inventory summary
“Take these 200 website inventory rows for groups 'region-north' and 'region-south' and produce the two analytical reports — string normalisation plus a date pivot on page_count — so I can compare site coverage across groups over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-23-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 business website inventory records with page_count and verified_pages fields and need both string normalisation of categorical labels and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical preparation of website audit datasets where no live data lookup, prediction, or external enrichment is needed.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — exceeds maxItems limit, rejected
- Invalid date format (not YYYY-MM-DD) — schema pattern validation failure
- Missing required fields (row_id, company_group, date) — schema validation error
- Numeric values outside allowed range — rejected by min/max constraints
- Invalid field enum value (not page_count or verified_pages) — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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