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Competitor Supplied Prices — String Normalisation + Date by Category Pivot
x402
Competitor Supplied Prices — 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 2026-10-19).
Normalises string fields and produces a date-by-category pivot for up to 200 rows of competitor supplied pricing data (list_price, package_quantity), returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied competitor supplied prices records (list_price, package_quantity). 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 per call: (1) string-normalised version of the supplied competitor pricing rows, and (2) a date-by-category pivot table for the selected numeric field (list_price or package_quantity), computed locally with no external lookups or predictions. Results are limited to up to 200 input rows.
Example use cases
Competitor pricing landscape report
“I've got 80 rows of competitor price records with company groups like 'group-a' and 'group-b', dates in YYYY-MM-DD format, and list prices — can you normalise the strings and pivot the list_price by date and category so I can compare them?”
Package quantity trend pivot
“I have supplier data with 120 rows including company_group, date, and package_quantity fields — please run string normalisation and generate a date-by-category pivot on package_quantity so I can spot volume trends across competitors.”
Multi-group price data cleanup
“Can you take these 200 rows of messy competitor pricing records with company groups and dates and give me two analytical reports — one that normalises the string fields and one that pivots list_price by date and category group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of pre-collected competitor pricing data (with company group, date, list_price, and/or package_quantity fields) and need both string normalisation and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical enrichment of supplied datasets rather than live price lookups or predictive modelling. At $0.01 USDC for two reports, it is cost-effective for small-to-medium competitor price datasets that need light transformation before downstream analysis.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Missing required fields (row_id, company_group, date) causes validation error
- Invalid field selector (not 'list_price' or 'package_quantity') returns error
- Numeric values outside allowed range (-1T to +1T) may be rejected
- Empty rows array returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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