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Solar Observations — Numeric Row Ordering + Two-Measure Correlation
x402
Solar Observations — Numeric Row Ordering + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Analyzes up to 200 solar observation records by ordering rows numerically and computing correlation between irradiance and duration measures.
Price / call$0.01
Success—
StatusUnknown
How this service works
Solar observations — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied solar observations records (irradiance_wm2, duration_hours). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports for the supplied solar observation rows: (1) a numeric row ordering ranked by the selected field (irradiance_wm2 or duration_hours), and (2) a correlation analysis between the irradiance_wm2 and duration_hours measures across all supplied rows.
Example use cases
Solar site performance ranking
“I have daily solar readings from 3 station groups across October — can you rank all 90 rows numerically by irradiance_wm2 and tell me how strongly irradiance correlates with duration_hours?”
Sunshine duration vs irradiance analysis
“Here are 150 solar observation records from our weather stations. Can you order them by duration_hours and compute the correlation between duration and irradiance for the full dataset?”
Multi-station solar data audit
“I need to compare irradiance and duration data across my station groups — can you rank these 60 solar records numerically by irradiance_wm2 and show me the two-measure correlation between irradiance and hours?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-06-120?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have solar observation data (irradiance and sunshine duration) and need both a numeric ranking of rows by one measure AND a correlation analysis between the two measures in a single $0.01 call — avoiding the need to run two separate analytical queries. Best for datasets of up to 200 rows where no live data lookup, prediction, or external enrichment is needed.
Side effects
- Exceeding 200 rows causes rejection
- Missing required fields (row_id, date, irradiance_wm2, duration_hours) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Null values in both measure columns may produce incomplete correlation results
- Payment failure or insufficient USDC balance blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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