Coordinate Quality Checks — Daily Sum Series + 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 2026-10-30).
Computes daily sum time series and fills missing values (zero, mean, or median) for coordinate quality check records with checked_points and flagged_points fields, producing two analytical reports for up to 200 rows.
Coordinate quality checks — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied coordinate quality checks records (checked_points, flagged_points). 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 analytical reports for the supplied coordinate quality check records: (1) a daily sum time series aggregating the target field (checked_points or flagged_points) by date, and (2) a dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Covers up to 200 input rows per call.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-145?utm_source=zero.xyzChoose this endpoint when you have pre-collected coordinate quality check records (checked_points, flagged_points) per station group per date and need both a daily sum time series and explicit missing-value imputation in a single low-cost call ($0.01 USDC for two reports, up to 200 rows). It is a purely analytical, offline computation with no live data lookup, external calls, or side effects — ideal for batch QC auditing workflows where data is already gathered.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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