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Air Quality Observations — String Normalisation + Secondary-Measure Weighted Mean
x402
Air Quality Observations — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Normalises station group strings and computes observation-count-weighted mean concentrations across up to 200 air quality observation rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Air quality observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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
Returns two analytical reports per call: (1) normalised/cleaned station_group string values for each input row, and (2) a secondary-measure weighted mean of the selected field (e.g. concentration) using observation_count as the weight, grouped or summarised across the supplied rows. Results are computed locally with no external lookups.
Example use cases
Pollution monitoring station aggregation
“I have 150 daily air quality readings from various monitoring stations with messy station group labels — can you normalise those string names and give me the observation-count weighted mean concentration across each group?”
Environmental compliance data cleaning
“Our air quality dataset has inconsistent capitalisation and spacing in the station_group field. Can you clean those strings and compute the weighted average pollutant concentration using observation_count as the weight for all 80 rows?”
Research dataset preprocessing
“Before I run my analysis I need to standardise the station group names in my air quality CSV and get a weighted mean of the concentration readings — the weights should be the observation_count column. There are about 60 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-10-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of air quality observation records (up to 200 rows) that need both string normalisation on station group labels AND a weighted mean computation in a single call. It is well-suited for lightweight, offline analytical preprocessing without any live data lookup, prediction, or external service dependency. Prefer it over general-purpose analytics tools when you want a low-cost ($0.01 USDC for two reports) turnkey solution scoped specifically to air quality observation schemas.
Side effects
- Missing required fields (row_id, station_group, date, concentration, observation_count) cause validation errors
- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null values in concentration or observation_count may affect weighted mean calculation
- Invalid enum value for field parameter (only 'concentration' or 'observation_count' accepted)
- Payment failure via x402 protocol results in no response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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