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Competitor Supplied Prices — String Normalisation + Explicit Missing-Value Fill
x402
Competitor Supplied Prices — 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).
Normalises string fields and fills missing numeric values (list_price, package_quantity) in competitor supplied prices records using statistical imputation methods (zero, mean, or median).
Price / call$0.01
Success—
StatusUnknown
How this service works
Competitor supplied prices — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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
Returns two independent analytical reports covering string normalisation results and explicit missing-value fills for up to 200 rows of competitor pricing data, applied to the specified numeric field (list_price or package_quantity) using the chosen imputation method (zero, mean, or median). No external lookups or predictions are performed; all processing is local.
Example use cases
Impute missing competitor list prices
“I've got a batch of 150 competitor pricing records where some list_price values are null — please clean the strings and fill those gaps using median imputation so I can use the data in our pricing model.”
Standardise package quantity data
“Our competitor price feed has messy string formatting and about 30 rows with missing package_quantity values — can you normalise the strings and fill the blanks using mean imputation across all rows?”
Zero-fill missing prices for reporting
“I need to prep these 80 competitor supplied price records for a report — normalise the string fields and set any missing list_price entries to zero so nothing is blank in the output.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of competitor supplied pricing data that need both string normalisation and statistical missing-value imputation in a single low-cost call ($0.01 USDC). It is best suited for batch offline cleaning prior to analysis or reporting, not for real-time lookups or large-scale datasets exceeding 200 rows.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required field (row_id, company_group, date) — schema validation failure
- Numeric value outside allowed range (±1,000,000,000,000) — rejected
- Invalid enum value for field or method — schema validation error
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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