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Solar Generation Observations — Keyed Dataset Comparison
x402
Solar Generation Observations — Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Compares two keyed datasets of solar generation observations (up to 200 records each) and returns local descriptive analytics highlighting differences between them.
Price / call$0.01
Success—
StatusUnknown
How this service works
Solar generation observations - Keyed dataset comparison: Keyed dataset comparison 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 keyed dataset comparison report.
Output
A bounded keyed dataset comparison report with local descriptive analytics showing per-key differences, summary statistics, and contrasts between the two supplied solar generation datasets (generation_kwh and irradiance_w_m2 across solar arrays and dates). No forecasting or external enrichment is included.
Example use cases
Month-over-month solar output comparison
“I have solar generation readings for the same arrays across two different months — can you compare them row by row and tell me how the generation_kwh and irradiance figures changed between the two periods?”
A/B solar array performance audit
“We have two solar arrays, group-a and group-b, and I want to compare their generation output and irradiance readings side by side for the same dates — run a keyed comparison and highlight the descriptive differences.”
Pre- and post-maintenance generation check
“Before and after a maintenance window on our solar panels, I collected daily generation_kwh and irradiance_w_m2 readings — compare the two datasets keyed by row_id and summarize what changed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-solar-generation-compare?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have two finite sets of solar generation records (up to 200 rows each) keyed by row_id and want a structured descriptive comparison — e.g. before/after, period-over-period, or array-vs-array — without needing forecasting, enrichment, or external data sources. Ideal for energy analysts, solar fleet operators, or data pipelines that need a quick comparative summary for a bounded observation window.
Side effects
- Missing required fields (row_id, solar_array, date, generation_kwh, irradiance_w_m2) in any row causes validation error
- Exceeding 200 rows in either dataset returns an error
- Date values not matching YYYY-MM-DD pattern are rejected
- Mismatched row_ids between datasets may result in incomplete comparison
- Payment failure via x402 protocol blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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