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Humidity Observations — Category Frequencies + Secondary-Measure Weighted Mean
x402
Humidity Observations — Category Frequencies + Secondary-Measure Weighted Mean 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).
Computes category frequencies and observation-count-weighted mean for up to 200 humidity observation records using local analytical engines, returning two independent statistical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Humidity observations — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean for supplied humidity observations records (humidity_percent, observation_count). 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 category frequency table showing the distribution of humidity_percent values across defined categories, and (2) a weighted mean of the primary field (humidity_percent) using observation_count as the weight — both computed locally on the supplied rows without any external data lookup.
Example use cases
Humidity distribution across weather stations
“I have daily humidity readings from two weather station groups over the past week — can you calculate the frequency distribution of humidity categories and the observation-count-weighted average humidity across all records? Here are the rows with station group, date, humidity_percent, and observation_count.”
Monthly climate report aggregation
“I need two statistical reports on this month's humidity observations from our sensor network: category frequencies showing how often each humidity band appears, and a weighted mean of humidity_percent using observation_count as the weight. I have about 150 rows of data to submit.”
Comparing humidity patterns between site groups
“Can you analyze these 80 humidity observation records from our field stations — I need to see the category frequencies broken down by station_group and a weighted mean where observation_count is the secondary measure weight? The data covers dates in October 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-04-109?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 humidity observation records and need both a category frequency distribution and a weighted mean calculated locally without any live data lookup, prediction, or external API call — ideal for batch statistical summarization of weather station data at low cost ($0.01 USDC for both reports).
Side effects
- Empty rows array or missing required fields (row_id, date, humidity_percent, observation_count) cause validation errors
- Exceeding 200 rows returns an error as the maximum batch size is 200
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Null values in humidity_percent or observation_count may affect weighted mean computation
- Payment failure or insufficient USDC balance prevents endpoint access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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