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Solar Generation Observations – Explicit Missing-Value Fill
x402
Solar Generation Observations – 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 2026-10-14).
Fills missing numeric values (generation_kwh or irradiance_w_m2) in solar generation observation records using zero, mean, or median imputation across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Solar generation observations - Explicit missing-value fill: Explicit missing-value fill for Solar generation observations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded explicit missing-value fill report.
Output
A report containing the input observation records with all null values in the specified field (generation_kwh or irradiance_w_m2) replaced by the chosen imputation value (zero, mean, or median of the non-null values), along with descriptive analytics summarizing the fill operation — no forecasting or external enrichment is included.
Example use cases
Clean solar dataset before reporting
“My solar generation CSV for October has some missing generation_kwh entries for array 'roof-south' — can you fill those nulls using the median so I can run my monthly energy report without gaps?”
Impute missing irradiance readings
“I've got 150 daily solar observation rows where some irradiance_w_m2 values are null — please fill them using the mean of the non-null irradiance readings across the dataset.”
Zero-fill missing generation for billing
“Before I submit generation data to our billing system, I need any missing generation_kwh values for arrays 'east-wing' and 'west-wing' replaced with zero — can you process these 80 rows and return the filled records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-solar-generation-fill-missing?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a lightweight, pay-per-call missing-value imputation for solar generation time-series data (up to 200 rows) without building your own data pipeline. It is ideal for pre-processing solar array datasets before analytics or billing, where you need zero, mean, or median fill on generation_kwh or irradiance_w_m2 fields specifically. Prefer this over general-purpose data tools when working within the solar/renewable energy domain and needing a bounded, cost-predictable ($0.01 per call) operation.
Side effects
- Empty rows array or more than 200 rows returns validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Unrecognized field name outside enum [generation_kwh, irradiance_w_m2] returns error
- Unrecognized method outside enum [zero, mean, median] returns error
- All values for target field are null, making mean/median undefined
- Payment not supplied or insufficient USDC causes 402 rejection
- row_id missing or empty string triggers required-field validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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