Competitor Supplied Prices — Record Quality Audit + 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 2026-10-15).
Audits up to 200 rows of competitor pricing data (list_price, package_quantity) for quality issues and fills missing numeric values using zero, mean, or median imputation, returning two independent analytical reports.
Competitor supplied prices — Record quality audit + Explicit missing-value fill: Record quality audit + 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.
Returns two independent reports: (1) a record quality audit flagging issues such as nulls, format problems, and anomalies across the submitted rows, and (2) an explicit missing-value fill report showing which list_price or package_quantity values were imputed and what values were substituted using the chosen method (zero, mean, or median). No external lookups or predictions are made; all analysis uses local engines.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-07-019?utm_source=zero.xyzChoose this endpoint when you have up to 200 rows of competitor pricing data with missing numeric values (list_price or package_quantity) and need both a data quality audit and explicit imputation in a single low-cost call ($0.01 USDC). Prefer this over generic data cleaning tools when your data specifically involves competitor pricing with company_group and date dimensions, and you want deterministic imputation (zero/mean/median) without any predictive modeling or external data enrichment.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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