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Solar Observations String Normalisation and Missing-Value Fill
x402
Solar Observations String Normalisation and 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 2026-10-23).
Normalises string fields and fills missing values (using zero, mean, or median) in solar observation records containing irradiance and duration data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Solar observations — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied solar observations records (irradiance_wm2, duration_hours). 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 2 analytical reports covering string-normalised and missing-value-filled solar observation records (irradiance_wm2 and/or duration_hours) for up to 200 input rows, processed locally with no external lookups.
Example use cases
Impute missing irradiance readings
“I've got a batch of 80 solar observation records from station group 'site-north' and several rows are missing irradiance_wm2 values — can you fill them in using the median of the available readings and normalise all the string fields?”
Zero-fill missing solar duration hours
“My solar dataset has 120 rows with some null duration_hours entries — please clean up the strings and fill those missing values with zero so I can load it into my pipeline.”
Mean imputation for mixed-station solar data
“I have 200 solar observation records across multiple station groups from October 2026, and the irradiance_wm2 column has gaps — can you normalise the strings and use mean imputation to fill the missing values?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-06-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 solar observation records (irradiance and duration data) that need both string normalisation and structured missing-value imputation in a single low-cost call. Ideal for data-prep pipelines where raw solar station exports contain messy strings and null numeric fields before downstream analysis.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Invalid date format not matching YYYY-MM-DD pattern
- Missing required fields (row_id, date, irradiance_wm2, duration_hours) in any row
- Invalid method enum value outside zero/mean/median
- Invalid field enum value outside irradiance_wm2/duration_hours
- Payment not included or insufficient USDC balance
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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