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Air Quality Observations — Exact Row Deduplication + Keyed Dataset Comparison
x402
Air Quality Observations — Exact Row Deduplication + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Deduplicates air quality observation rows and compares two supplied datasets by key, returning two analytical reports on concentration and observation_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Air quality observations — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + Keyed dataset comparison 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) an exact row deduplication report identifying duplicate records within the supplied dataset, and (2) a keyed dataset comparison report showing row-by-row differences between the two supplied datasets on concentration and observation_count fields, based entirely on the data you provide with no external lookups.
Example use cases
Deduplicating station monitoring export
“I exported air quality readings from our monitoring system and suspect there are duplicate rows — each row has a row_id, station_group, date, concentration, and observation_count. Can you run exact deduplication on this batch of up to 200 records and tell me which rows are duplicates?”
Comparing two data pipeline outputs
“Our ETL pipeline ran twice and produced two slightly different air quality datasets. Each has row_id, station_group, date, concentration, and observation_count. Can you compare them row-by-row by key and flag any records where the concentration or observation_count changed between the two runs?”
Auditing merged air quality datasets
“We merged air quality data from two regional stations into one file, and I need to know if there are any exact duplicate rows and whether the two original source files actually agreed on values. Can you run both a deduplication check and a keyed comparison on the two datasets — up to 200 rows each, with fields row_id, station_group, date, concentration, and observation_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-10-053?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have air quality observation records (with concentration and observation_count fields) and need to either find exact duplicate rows within a single dataset or compare two datasets by row key to detect value differences — all using supplied data only, with no external API calls, predictions, or live data lookups. It processes up to 200 rows and returns two reports in a single call for $0.01 USDC.
Side effects
- More than 200 rows submitted — payload rejected or truncated
- Missing required fields (row_id, station_group, date, concentration, observation_count) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Empty rows array submitted — minimum 1 item required
- Numeric fields out of accepted range — schema rejection
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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