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Competitor Supplied Prices — Record Quality Audit + String Normalisation + Category Frequencies
x402
Competitor Supplied Prices — Record Quality Audit + String Normalisation + Category Frequencies 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).
Runs three local analytical reports on up to 200 competitor price records: a record quality audit, string normalisation, and category frequency analysis on list_price and package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied competitor supplied prices records (list_price, package_quantity). 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 reports returned together: (1) a record quality audit flagging missing, out-of-range, or malformed values in each row; (2) normalised string representations of text fields like company_group; (3) category frequency counts showing how often each distinct category value appears across the submitted rows.
Example use cases
Auditing competitor price data quality
“I've scraped competitor prices from a few suppliers and I want to check the data quality before I use it — can you audit these records for missing values, format issues, and bad entries? I have about 150 rows with row IDs, company groups, dates, list prices, and package quantities.”
Normalising company group strings
“My competitor pricing dataset has inconsistent company group labels — things like 'Group A', 'group-a', and 'GROUP A' mixed together. Can you normalise those strings across my 80 records so they're consistent?”
Category frequency breakdown by supplier
“I want to know how often each company group appears in my competitor pricing dataset. I have 200 rows of competitor prices — can you give me a frequency count broken down by category?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 competitor price records (with list_price and package_quantity) and need simultaneous data quality auditing, string field normalisation, and category frequency analysis in a single call without any external lookups or predictions. It is ideal for preprocessing competitor pricing data before downstream analysis or modelling.
Side effects
- Empty or missing rows array returns a validation error
- More than 200 rows submitted exceeds the maximum and will be rejected
- Rows missing required fields (row_id, company_group, date, list_price, package_quantity) fail schema validation
- Dates not matching YYYY-MM-DD pattern fail pattern validation
- list_price or package_quantity values outside ±1,000,000,000,000 are rejected
- Payment of 0.01 USDC not included causes 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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