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Air Quality Observations — Duplicate Key Report + Base-100 Series
x402
Air Quality Observations — Duplicate Key Report + Base-100 Series 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).
Analyzes supplied air quality observation records to produce a duplicate key report and a base-100 index series for concentration or observation_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Air quality observations — Duplicate key report + Base-100 series: Duplicate key report + Base-100 series 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 independent analytical reports: (1) a duplicate key report identifying any rows sharing the same key fields (station_group, date, or row_id), and (2) a base-100 index series for the chosen numeric field (concentration or observation_count), rebased against the specified reference row. Covers up to 200 input rows.
Example use cases
Audit station data for duplicates
“I've got a batch of air quality readings from multiple station groups and I need to know if there are any duplicate station/date combinations before I load them — can you run the duplicate key report on these up to 200 rows?”
Rebase pollution index to reference point
“Can you take my concentration readings across these air quality observation rows and build a base-100 index series starting from row index 0, so I can compare trends relative to that baseline?”
Validate and index observation counts
“I need two things from my air quality dataset: a duplicate key check on the row IDs and dates, and a base-100 series built from the observation_count field — can you run both reports on these records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-10-063?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 data-quality check (duplicate key detection) and a relative index series in a single low-cost call. It is ideal for pre-ingestion validation of environmental monitoring datasets and trend normalization without requiring any external data source or live lookup.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, station_group, date, concentration, observation_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- base_index out of range (0–199) or exceeding actual row count causes an error
- Empty rows array rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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