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Wind Observations — Duplicate Key Report + Category Frequencies
x402
Wind Observations — Duplicate Key Report + 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 2026-10-30).
Analyzes up to 200 wind observation records to produce a duplicate key report and category frequency breakdown for wind_speed_ms and gust_speed_ms fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Wind observations — Duplicate key report + Category frequencies: Duplicate key report + 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 independent analytical reports: (1) a duplicate key report identifying any rows sharing the same key within the supplied wind observation records, and (2) category frequency counts for the categorical fields (station_group) across all supplied rows — covering up to 200 input records.
Example use cases
Audit wind station data quality
“I have 150 wind observation records from multiple station groups — can you run a duplicate key check on them and tell me the frequency of each station group so I can spot any data quality issues?”
Detect repeated entries in sensor export
“Our weather sensor export has 80 rows with row IDs, dates, station groups, wind speeds, and gust speeds — check if any row IDs are duplicated and give me a breakdown of how often each station group appears.”
Summarize wind data categories before analysis
“Before I run my wind speed analysis, I need to know if there are any duplicate row keys in my dataset of 200 wind observations and how many records fall into each station group category — can you generate those two reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-03-057?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit a wind observation dataset for duplicate row keys AND understand the distribution of categorical values (station groups) — all in a single API call at low cost. It is ideal for data quality checks on meteorological datasets before downstream analysis, and when you have up to 200 rows of wind speed and gust speed records. Prefer this over generic deduplication tools when your data specifically includes wind_speed_ms and gust_speed_ms fields with station group categorization.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, station_group, date, wind_speed_ms, gust_speed_ms) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection
- Empty rows array (minItems: 1 not satisfied) results in error
- row_id exceeding 80 characters triggers schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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