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Wind Observations Daily Sum Series with Missing-Value Fill
x402
Wind Observations Daily Sum Series with 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 2026-10-29).
Computes daily sum series for wind observation records and fills missing values using a chosen method (zero, mean, or median) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Wind observations — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied wind observations records (wind_speed_ms, gust_speed_ms). 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 analytical reports per call: a daily sum series aggregating the specified field (wind_speed_ms or gust_speed_ms) by date, and an explicit missing-value fill report applying the chosen method (zero, mean, or median) to null entries — covering up to 200 input rows.
Example use cases
Wind station data cleanup for reporting
“I've got daily wind speed and gust readings from two station groups with some nulls scattered through the wind_speed_ms column — please compute the daily sum series and fill those missing values using the median method.”
Gust speed aggregation for infrastructure planning
“Can you run a daily sum series on my gust_speed_ms records across station groups for October 2026 and use zero fill for any missing gust values? I have about 80 rows.”
Missing wind data imputation before model training
“Before I feed my wind observation dataset into a model, I need the daily sum series computed and any missing wind_speed_ms values filled using mean — I have around 120 rows with dates and station group labels.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-03-145?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular daily wind observation data (wind speed and/or gust speed) with potential missing values and need both a daily sum aggregation and a structured missing-value fill in a single call. Ideal for preprocessing wind datasets before downstream modeling, reporting, or visualization — especially when your data is under 200 rows and you want a lightweight, paid-per-call solution without setting up your own analytics pipeline.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, date, station_group, wind_speed_ms, gust_speed_ms) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- Invalid method enum value (not zero/mean/median) causes error
- Invalid field enum value (not wind_speed_ms/gust_speed_ms) causes error
- Payment not included or insufficient USDC causes x402 payment-required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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