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Solar Generation Observations – Record Quality Audit
x402
Solar Generation Observations – Record Quality Audit is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs a local descriptive data-quality audit on up to 200 solar generation observation records, flagging anomalies and quality issues without enrichment or forecasting.
Price / call$0.01
Success—
StatusUnknown
How this service works
Solar generation observations - Record quality audit: Record quality audit 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 record quality audit report.
Output
A bounded record-quality audit report containing descriptive analytics for the submitted solar generation observations, including flags for anomalous, missing, or out-of-range values across generation (kWh), irradiance (W/m²), date, and solar array fields — one report per call, covering up to 200 rows, with no external enrichment or forecasting.
Example use cases
Pre-analysis data validation for solar fleet
“Before I run my monthly solar performance report, can you audit these 150 daily generation records from our rooftop arrays — I need to know which rows have missing values, implausible generation or irradiance readings, or other quality problems?”
Detecting sensor faults in field observations
“We've been getting weird readings from our solar monitoring system — can you check these 80 solar generation observations for data quality issues? Flag any rows where the kWh or W/m² values look suspicious or out of range.”
Data cleaning step before ML pipeline ingestion
“I'm about to ingest this batch of 200 solar generation records into our forecasting model — can you first do a quality audit and give me a report on which rows have data problems I should clean up or exclude?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-solar-generation-quality?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local data-quality check on a batch of solar generation observation records before downstream analysis, ML ingestion, or reporting — particularly when you do not need enrichment, forecasting, or external data lookups, and when you want a bounded, deterministic audit for up to 200 records at a low per-call cost.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, solar_array, date, generation_kwh, irradiance_w_m2) causes record rejection
- Malformed date strings not matching YYYY-MM-DD pattern trigger schema validation failure
- Empty rows array (minItems: 1 not met) returns error
- Payment not processed correctly via x402 protocol results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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