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Air Quality Observations – Daily Sum Series
x402
Air Quality Observations – Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Computes daily sum series analytics (e.g. total PM2.5 or humidity) across up to 200 air quality observation records grouped by station and date.
Price / call$0.01
Success—
StatusUnknown
How this service works
Air quality observations - Daily sum series: Daily sum series 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 daily sum series report.
Output
A bounded daily sum series report aggregating the specified numeric field (pm25 or humidity_percent) by date across all supplied observation rows, covering up to 200 records with no enrichment or forecasting — purely local descriptive analytics.
Example use cases
Daily PM2.5 totals for urban monitoring
“I have a week of PM2.5 readings from three city monitoring stations. Can you compute the daily sum series for the pm25 field so I can see which days had the highest total particulate load?”
Humidity aggregation across farm sensors
“I've collected humidity_percent observations from five agricultural weather stations over the past 30 days. Run a daily sum series on the humidity_percent field so I can identify days with the highest total moisture across all sensors.”
Air quality compliance reporting
“I need a daily sum report for PM2.5 from our 50 air quality sensor rows covering last month — group the totals by date so I can compare them against our compliance thresholds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-air-quality-observations-date-series?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw air quality observation records (PM2.5 and/or humidity) and need a simple, bounded daily sum aggregation by date with no external enrichment, forecasting, or third-party data — ideal for local descriptive analytics on datasets up to 200 rows at minimal cost ($0.01 USDC per call).
Side effects
- Empty rows array (minItems:1 violation) returns validation error
- More than 200 rows supplied (maxItems:200) returns rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in the target numeric field may affect sum accuracy
- Invalid field enum value (anything other than pm25 or humidity_percent) returns error
- Malformed row_id (empty string or exceeding 80 chars) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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