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Wind Observations — Exact Row Deduplication + Category Frequencies
x402
Wind Observations — Exact Row Deduplication + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Deduplicates wind observation records and computes category-level frequency distributions for wind speed and gust speed data across station groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Wind observations — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies 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: (1) a deduplicated version of the supplied wind observation rows with duplicate records identified and removed, and (2) category frequency distributions showing how often distinct wind speed and gust speed values or ranges appear across station groups and dates — all computed locally from the submitted data with no external lookups.
Example use cases
Clean wind sensor data before analysis
“I've got a batch of wind readings from our weather stations — some rows might be duplicated. Can you run deduplication on these records and tell me how frequently each wind speed category appears across the station groups? Here are up to 200 rows with row_id, station_group, date, wind_speed_ms, and gust_speed_ms.”
Frequency audit of gust speed categories
“For our station network data, can you compute how often each gust speed category occurs across the station groups and also flag any exact duplicate rows? I'll send you the wind observation records with dates and station identifiers.”
Pre-pipeline data quality check for wind logs
“Before we load these wind observation logs into our database, can you deduplicate the rows and produce a category frequency report for wind_speed_ms and gust_speed_ms? There are around 150 records from multiple station groups across several dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-03-041?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of wind observation records (up to 200 rows) and need both exact duplicate removal and category-level frequency analysis in a single call. It is ideal for data quality checks before ingesting weather station data into pipelines, and when no live forecasting, external lookup, or prediction is needed — only local analytical computation on your supplied data.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, station_group, date, wind_speed_ms, gust_speed_ms) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Payment of 0.01 USDC not completed — 402 response returned
- Null values in wind_speed_ms or gust_speed_ms may affect frequency bucketing output
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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