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Solar Generation Observations – Exact Row Deduplication
x402
Solar Generation Observations – Exact Row Deduplication 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).
Identifies and removes exact duplicate rows from solar generation observation datasets containing up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Solar generation observations - Exact row deduplication: Exact row deduplication 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 exact row deduplication report.
Output
A bounded deduplication report indicating which rows are exact duplicates, the unique/deduplicated set of solar generation observation records, and summary counts — with no enrichment, forecasting, or external data lookup applied.
Example use cases
Clean solar farm daily logs
“I've collected daily generation readings from our solar farm arrays for the past month and I think there are duplicate entries — can you run an exact row deduplication on this set of records with fields: row_id, solar_array, date, generation_kwh, and irradiance_w_m2, so I get back only unique observations?”
Pre-analysis data quality check
“Before I run my energy yield analysis, I need to make sure there are no exact duplicate rows in my solar observation data — can you deduplicate these 120 records across arrays 'panel-east' and 'panel-west' with dates from 2024-01-01 to 2024-04-30?”
Audit repeated irradiance readings
“Our data pipeline seems to be logging duplicate irradiance and generation readings for some solar arrays — please deduplicate this batch of up to 200 solar generation observations and tell me which rows were exact duplicates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-solar-generation-deduplicate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 solar generation observation records and need a fast, local exact-match deduplication report with no external enrichment — ideal for data cleaning pipelines before downstream analytics or storage ingestion.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, solar_array, date, generation_kwh, irradiance_w_m2) causes rejection
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Empty rows array returns an error
- Numeric values outside allowed range are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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