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Air Quality Observations — Record Quality Audit + Category Frequencies
x402
Air Quality Observations — Record Quality Audit + 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 2026-10-23).
Runs two local analytical reports on supplied air quality observation rows: a record quality audit and category frequency analysis for concentration and observation_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Air quality observations — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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 reports: (1) a record quality audit identifying issues such as missing values, nulls, format errors, or out-of-range entries per row; and (2) a category frequency table showing how concentration and observation_count values distribute across defined categories or station groups. Both reports are generated locally from the supplied data with no external lookups.
Example use cases
Pre-analysis data quality check
“Before I run my air quality study, can you audit these 80 observation records for quality issues? Each row has a row_id, station_group, date, concentration reading, and observation_count — flag anything that looks bad and show me the category frequency breakdown.”
Station group category frequency report
“I've got 120 rows of air quality monitoring data from multiple station groups with concentration and observation_count values. Can you analyze the category frequencies so I can see how the readings are distributed across groups?”
Pollution dataset validation before reporting
“I need to submit an air quality report and want to verify my dataset first — can you run a record quality audit plus category frequency analysis on these 35 rows of concentration and observation_count readings before I finalize anything?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-10-006?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 air quality observation records and need both a data quality audit and category frequency distribution in a single call at very low cost. It is ideal for pre-analysis validation of environmental monitoring datasets. Prefer it over general-purpose data tools when you want two bundled, domain-appropriate reports without external lookups or live data dependencies.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum, request rejected
- Missing required fields (row_id, station_group, date, concentration, or observation_count) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — pattern mismatch error
- Payment of 0.01 USDC not provided — 402 Payment Required
- Malformed JSON body — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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