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Air Quality Observations — Numeric Row Ordering & Adjacent Row Changes
x402
Air Quality Observations — Numeric Row Ordering & 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).
Computes numeric row ordering and adjacent row changes for supplied air quality observation records (concentration or observation_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Air quality observations — Numeric row ordering + Adjacent row changes: Numeric row ordering + 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: (1) numeric row ordering — rows sorted/ranked by the selected field (concentration or observation_count); (2) adjacent row changes — the delta between each consecutive row for the selected field. Results are computed locally on supplied data with no external lookups.
Example use cases
Station pollution ranking by concentration
“I have daily air quality readings from two monitoring stations over the past week — can you rank all the rows by concentration value and show me the change in concentration between each consecutive measurement? Use the concentration field.”
Observation count trend delta analysis
“Here are 50 air quality observation records from our network — I want to see them ordered numerically by observation_count and also get the adjacent row changes for observation_count so I can spot sudden jumps or drops.”
Multi-station sequential change detection
“I've got 150 rows of air quality data from station groups north and south across multiple dates — please compute numeric ordering and the row-over-row changes in concentration so I can identify which intervals had the biggest spikes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-10-116?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 numerically ordered view and row-over-row delta computation in a single call. It is ideal for offline/local analytical processing of already-collected data without needing live lookups, predictions, or external data enrichment. Prefer it over generic analytics services when working specifically with concentration and observation_count fields in an environmental monitoring context.
Side effects
- Exceeds 200-row limit — request rejected or truncated
- Missing required fields (row_id, station_group, date, concentration, observation_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value out of allowed numeric range — rejection
- Empty rows array — error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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