Forecast Verification Inputs — Numeric Row Ordering + 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 2026-11-02).
Sorts forecast verification rows numerically and fills missing forecast_value or observed_value fields using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.
Forecast verification inputs — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied forecast verification inputs records (forecast_value, observed_value). 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 on the supplied forecast verification rows: one covering the numeric row ordering result and one covering the explicit missing-value fill outcome, applied to the specified field (forecast_value or observed_value) using the chosen method (zero, mean, or median). No live data is fetched or predicted.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-24-124?utm_source=zero.xyzChoose this endpoint when you need to (1) numerically sort forecast verification rows by row_id and (2) impute missing forecast_value or observed_value entries using zero, mean, or median — all in one step with two bundled analytical reports, for up to 200 rows at $0.01 USDC. Prefer this over general-purpose data tools when your data is already in the forecast-verification schema (row_id, station_group, date, forecast_value, observed_value) and you want both ordering and imputation handled together without calling an external prediction or live weather service.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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