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Air Quality Observations – Category Frequencies
x402
Air Quality Observations – 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 2026-10-19).
Computes category frequency distributions from a batch of air quality observation records (PM2.5, humidity) grouped by station and date.
Price / call$0.01
Success—
StatusUnknown
How this service works
Air quality observations - Category frequencies: Category frequencies 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 category frequencies report.
Output
A bounded category frequencies report listing how many observations (out of up to 200 supplied records) fall into each air quality category, derived from PM2.5 and humidity values grouped by station and date. No forecasting or external enrichment is included — purely local descriptive analytics on the supplied data.
Example use cases
Station network air quality audit
“I have 150 daily air quality readings from 5 monitoring stations across the city — each with PM2.5 and humidity values — can you run a category frequency count so I can see how many days each station recorded good, moderate, or unhealthy air quality?”
Weekly pollution spike analysis
“Here are 90 air quality observations from last month across our 3 stations. Can you count how many readings fall into each PM2.5 category so I can identify which category dominated and report back to the environmental team?”
Humidity-correlated air quality categorization
“I've got a dataset of 60 air quality sensor readings with both PM2.5 and humidity levels. Can you run a category frequency analysis on them so I can see the distribution of readings across air quality categories?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-air-quality-observations-category-counts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a bounded batch of up to 200 raw air quality observation records and need a quick, low-cost ($0.01 USDC) descriptive frequency breakdown by category — no external data, forecasting, or enrichment needed. Ideal for local analytics pipelines, environmental reporting dashboards, or lightweight station audits where you supply the data and need category counts back immediately.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Missing required fields (row_id, station, date, pm25, humidity_percent) cause record-level validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Non-numeric values for pm25 or humidity_percent cause type validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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