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Air Quality Observations — Numeric Interval Filter + IQR Outlier Flags
x402
Air Quality Observations — Numeric Interval Filter + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Filters air quality observation rows by a numeric interval and flags statistical outliers using IQR analysis, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Air quality observations — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags 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 covering: (1) rows filtered to the specified numeric interval for the chosen field (concentration or observation_count), and (2) IQR-based outlier flags for the same field, applied to all supplied rows. Results are computed locally with no external lookup.
Example use cases
Outlier detection in pollution monitoring
“I've got daily PM2.5 concentration readings from multiple station groups and I need to flag any statistical outliers using IQR, plus filter out any rows where concentration falls outside the 5 to 500 range — can you run both analyses on these 80 rows?”
Sensor data quality audit
“We're auditing our air quality sensor network and need to identify suspicious observation_count values — please filter to rows where observation_count is between 1 and 200 and flag IQR outliers in the observation_count field across these station records.”
Range-based data cleaning before reporting
“Before I publish my monthly air quality report, can you filter my 150 observation rows to only those with concentration between 0 and 100 and highlight which ones are statistical outliers by IQR so I know what to double-check?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-10-130?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 air quality observation records and need both a numeric range filter and IQR-based outlier detection in a single call, without requiring live data fetching, prediction, or external integrations. It is ideal for offline data quality checks on batch datasets where concentration or observation_count needs statistical validation.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Minimum value greater than maximum value yields empty interval filter result
- Missing required fields (row_id, concentration, observation_count) cause schema rejection
- Null numeric values may be excluded from IQR computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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