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Competitor Supplied Prices — Record Quality Audit + String Normalisation + Equal-Width Histogram
x402
Competitor Supplied Prices — Record Quality Audit + String Normalisation + Equal-Width Histogram 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 analytical reports (record quality audit, string normalisation, and equal-width histogram) on up to 200 rows of competitor supplied price data including list_price and package_quantity fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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 analytical reports: (1) a record quality audit flagging completeness and integrity issues, (2) a string normalisation report for text fields like company_group, and (3) an equal-width histogram of the selected numeric field (list_price or package_quantity) across the supplied rows, using the specified number of bins.
Example use cases
Competitor price data quality check
“I've got 50 rows of competitor pricing data with list prices and package quantities by company group and date — can you run a full record quality audit, string normalisation, and a 10-bin histogram on the list_price field to see how clean and distributed the data is?”
Package quantity distribution analysis
“Please analyse these 120 competitor price records and give me a 7-bin equal-width histogram on the package_quantity field, along with the string normalisation and quality audit reports.”
Pre-import data validation for pricing pipeline
“Before I load this batch of 80 competitor supplied prices into our system, can you run the three-report audit — record quality, string normalisation, and a 5-bin list_price histogram — so I can catch any data issues first?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-202?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 three lightweight local analytical reports — quality audit, string normalisation, and histogram — in a single call without any external lookups or live data. Ideal as a pre-processing or data validation step before ingesting competitor pricing data into a pipeline.
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format not matching YYYY-MM-DD pattern
- Missing required fields (row_id, company_group, date, list_price, package_quantity) in any row
- bins value outside allowed range of 1–30
- Numeric values exceeding the allowed min/max bounds
- Empty rows array submitted
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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