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Wind Observations — Exact Row Deduplication + Two-Measure Correlation
x402
Wind Observations — Exact Row Deduplication + 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 2026-10-30).
Deduplicates wind observation records and computes correlation between wind_speed_ms and gust_speed_ms across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Wind observations — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation for supplied wind observations records (wind_speed_ms, gust_speed_ms). 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 dataset: (1) an exact row deduplication report identifying and removing identical records, and (2) a two-measure correlation report quantifying the statistical relationship between wind_speed_ms and gust_speed_ms across up to 200 rows.
Example use cases
Wind sensor data quality check
“I have 120 wind observation rows from several weather stations — can you remove any exact duplicate rows and tell me the correlation between wind speed and gust speed across all of them?”
Multi-station gust correlation analysis
“We collected wind and gust readings from station groups north-1 and south-2 over October 2026. Can you deduplicate the records and compute how tightly gust_speed_ms tracks wind_speed_ms?”
Pre-processing wind data before modeling
“Before I feed this wind dataset into my model, can you run deduplication and a wind_speed vs gust_speed correlation check on these 80 rows so I know the data is clean and the two measures are related?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-03-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have wind observation data (with wind_speed_ms and gust_speed_ms fields) and need both exact duplicate row removal and a correlation analysis between the two speed measures in a single call. It is especially useful for pre-processing raw station sensor exports before modeling or reporting, covering up to 200 rows per call at low cost. Prefer it over general-purpose analytics tools when you want a combined deduplication + correlation result without setting up your own statistical pipeline.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure
- Missing required fields (row_id, station_group, date, wind_speed_ms, or gust_speed_ms) — 400 error
- Empty rows array — rejected due to minItems:1 constraint
- Non-numeric values in wind_speed_ms or gust_speed_ms fields — schema rejection
- Payment not provided or insufficient USDC — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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