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Competitor Supplied Prices — Record Quality Audit + String Normalisation + Explicit Missing-Value Fill
x402
Competitor Supplied Prices — Record Quality Audit + String Normalisation + Explicit Missing-Value Fill 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).
Audits record quality, normalises strings, and fills missing values for up to 200 rows of competitor price data (list_price, package_quantity) across 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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 issues in the supplied rows, (2) a string normalisation report for text fields like company_group, and (3) an explicit missing-value fill report for the specified numeric field (list_price or package_quantity) using the chosen method (zero, mean, or median). All processing is local with no external lookups or predictions.
Example use cases
Clean competitor pricing before analysis
“I've scraped 120 rows of competitor pricing data with list_price and package_quantity fields but there are some nulls and inconsistent company group strings — can you audit the record quality, normalise those strings, and fill the missing list_price values using the median?”
Validate supplier price list completeness
“I have a supplier price list with 80 rows including row_id, company_group, date, list_price, and package_quantity — can you run a quality audit on it, clean up the string fields, and fill any missing package_quantity values using the mean?”
Pre-analysis data prep for pricing team
“Before I hand this competitor price dataset off to the analytics team, can you do a record quality audit, normalise any string fields, and fill in missing list_price values with zero for all 200 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-208?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01) batch operation to clean and audit up to 200 rows of competitor pricing data locally — specifically when you need all three operations (quality audit, string normalisation, missing-value fill) together in one call without any external lookups, live data, or predictions.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, list_price, package_quantity) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid enum value for field or method parameters
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment not completed — endpoint requires 0.01 USDC via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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