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Solar Generation Observations – Secondary-Measure Weighted Mean
x402
Solar Generation Observations – Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Computes a secondary-measure weighted mean over a batch of solar generation observation records, weighting one numeric field by another.
Price / call$0.01
Success—
StatusUnknown
How this service works
Solar generation observations - Secondary-measure weighted mean: Secondary-measure weighted mean 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 secondary-measure weighted mean report.
Output
Returns a bounded secondary-measure weighted mean report for the supplied solar generation records, giving a single aggregated weighted mean value for the chosen numeric field (generation_kwh or irradiance_w_m2), computed locally without external enrichment or forecasting.
Example use cases
Irradiance-weighted generation summary for rooftop arrays
“I have daily solar generation and irradiance readings for three rooftop arrays over the past week. Can you compute the irradiance-weighted mean of the generation_kwh so I can see which days contributed most to average output? Here are the rows: array-north 2025-07-01 50 kWh at 800 W/m², array-south 2025-07-01 60 kWh at 950 W/m², array-north 2025-07-02 45 kWh at 720 W/m², array-south 2025-07-02 55 kWh at 870 W/m².”
Comparing weighted mean irradiance across farm zones
“I want to understand the secondary-measure weighted mean of irradiance_w_m2 across two zones of my solar farm for last month. Zone A had readings of 600, 750, 800 W/m² with generation 30, 40, 45 kWh on Oct 1–3; Zone B had 500, 650, 700 W/m² with 25, 35, 38 kWh on those same days. Use irradiance_w_m2 as the target field and generation_kwh as the weight.”
Monthly performance audit for utility-scale plant
“I'm auditing 30 days of solar generation data from our utility-scale plant and need a generation-weighted mean of kWh output. I'll send up to 180 rows with row IDs, solar array names, dates, generation_kwh, and irradiance_w_m2 values — please return the weighted mean for the generation_kwh field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-solar-generation-weighted-average?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local descriptive statistic — specifically a secondary-measure weighted mean — over a bounded batch of solar generation observations (up to 200 records) without requiring external enrichment, forecasts, or complex analytics pipelines. It is ideal when you already have clean solar generation and irradiance data and simply need the weighted average computed reliably and cheaply at $0.01 per call.
Side effects
- Missing required fields (row_id, solar_array, date, generation_kwh, irradiance_w_m2) cause validation errors
- Submitting more than 200 rows exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in both the target field and weight field may produce undefined or null weighted mean
- Selecting an invalid field enum value other than generation_kwh or irradiance_w_m2 returns an error
- Payment of 0.01 USDC not fulfilled results in 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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