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Air Quality Observations – Date by Category Pivot
x402
Air Quality Observations – Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Pivots up to 200 air quality observation records by date and station category, returning a descriptive analytics table for PM2.5 or humidity.
Price / call$0.01
Success—
StatusUnknown
How this service works
Air quality observations - Date by category pivot: Date by category pivot for Air quality observations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded date by category pivot report.
Output
A bounded date-by-category pivot report (up to 200 rows) showing the selected field (PM2.5 or humidity) aggregated by date and station category. The output is a descriptive analytics table — no forecasts or enrichment — suitable for identifying patterns and comparing values across station groups and time periods.
Example use cases
Daily PM2.5 comparison across monitoring stations
“I have a week's worth of PM2.5 readings from two monitoring stations, group-a and group-b, and I want to see a pivot table showing PM2.5 values broken down by date and station so I can compare daily air quality between them.”
Humidity trend summary by sensor group
“Can you run a date-by-category pivot on my air quality sensor records using humidity_percent as the field? I've got about 50 rows with station names and dates and I want to see how humidity varied across groups over time.”
Environmental report prep for multiple sites
“I'm preparing an environmental summary for three monitoring sites over the past month — take my 120 air quality observation rows and pivot them by date and station category using PM2.5, so I can see which sites had the worst days.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-air-quality-observations-pivot?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw air quality observation records (up to 200 rows) with station identifiers and dates and need a quick local descriptive pivot table by date and category — no external enrichment, forecasting, or machine learning required. Prefer this over general analytics tools when you specifically need a bounded date-by-category cross-tab of PM2.5 or humidity for environmental monitoring or reporting workflows.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, station, date, pm25, humidity_percent) on any row causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Invalid field enum value (not 'pm25' or 'humidity_percent') causes rejection
- Empty rows array (minItems: 1 violated) returns an error
- Payment of 0.01 USDC not provided or insufficient funds causes x402 payment failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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