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Coordinate Quality Checks — Exact Row Deduplication + Daily Sum Series
x402
Coordinate Quality Checks — Exact Row Deduplication + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Runs two analytical reports on coordinate quality check records: exact row deduplication and a daily sum time series for checked_points or flagged_points fields, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series for supplied coordinate quality checks records (checked_points, flagged_points). 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) an exact row deduplication report identifying and removing fully duplicate records from the submitted coordinate quality check rows, and (2) a daily sum time series aggregating either checked_points or flagged_points by date across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily flagged-point trend for station group
“I've got a month of coordinate quality check logs across multiple station groups with checked_points and flagged_points per day — run exact row deduplication to remove any duplicate entries, then give me a daily sum series for flagged_points so I can see how the flagging trend looks over time.”
Cleaning duplicate quality check submissions
“Our data pipeline sometimes submits the same coordinate quality check row twice — can you deduplicate these records by row_id, station_group, date, checked_points, and flagged_points, and also compute the daily total of checked_points so I know how many points were actually processed each day?”
Auditing weather station quality metrics
“I need to audit our weather station quality check dataset for duplicates and also get a day-by-day sum of flagged_points — I have about 150 rows covering several station groups, each with a date, checked_points count, and flagged_points count. Can you run both the dedup report and the daily sum series for flagged_points?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-044?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously deduplicate coordinate quality check records AND compute a daily sum time series from those same records in one API call. It is purpose-built for weather station or geospatial quality check datasets with checked_points and flagged_points metrics, handling up to 200 rows per call at low cost. Prefer this over general-purpose analytics when your data schema exactly matches the expected fields (row_id, station_group, date, checked_points, flagged_points) and you want two bundled analytical outputs without building custom deduplication or aggregation logic.
Side effects
- Missing required fields (row_id, station_group, date, checked_points, or flagged_points) causes validation error
- Date values not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the row limit and will be rejected
- Invalid field selector (must be 'checked_points' or 'flagged_points') returns an error
- Null values in numeric fields may affect aggregation results
- Empty rows array is rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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