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Air Quality Observations — Numeric Distribution + Adjacent Row Changes
x402
Air Quality Observations — Numeric Distribution + Adjacent Row Changes 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).
Analyzes supplied air quality observation records by computing numeric distribution statistics and adjacent row changes for concentration or observation_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Air quality observations — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied air quality observations records (concentration, 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
Two analytical reports for up to 200 supplied rows: (1) a numeric distribution report (e.g. min, max, mean, percentiles, spread) for the selected field (concentration or observation_count), and (2) an adjacent row changes report showing the differences between consecutive rows for that field. No live data fetched; analysis is performed on the submitted records only.
Example use cases
Station pollution spike detection
“I have 50 rows of daily air quality readings from my monitoring stations — can you run the numeric distribution and adjacent row change reports on the concentration field so I can see where pollution spikes between consecutive days?”
Observation count consistency check
“Here are 30 rows of air quality observations from groups alpha and beta across March 2024. Run the distribution and row-to-row change analysis on the observation_count field so I can check whether my sampling counts are consistent.”
Multi-station concentration summary
“I collected air quality concentration data from 5 station groups over the past 90 days — 150 rows total. Give me the numeric distribution breakdown and the adjacent changes for the concentration field so I can summarize the spread and trends.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-10-077?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of air quality observation records (up to 200 rows) and need both a statistical distribution summary and a consecutive-row change analysis for concentration or observation_count in a single low-cost call ($0.01 USDC). Prefer it over general analytics tools when you want a lightweight, pre-packaged dual-report specifically structured for air quality time-series or station data without needing live lookups or predictions.
Side effects
- Rows array empty or missing — validation error
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value not in enum ['concentration','observation_count'] — error
- Null values in numeric fields may affect distribution calculations
- Missing required row fields (row_id, station_group, date) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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