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Coordinate Quality Checks — Numeric Interval Filter + Date by Category Pivot
x402
Coordinate Quality Checks — Numeric Interval Filter + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs two local analytical reports on coordinate quality check records: filters rows by a numeric interval on checked_points or flagged_points, and pivots date data by station group category.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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 analytical reports: (1) a numeric interval filter showing which rows have the selected field (checked_points or flagged_points) within the specified minimum–maximum range, and (2) a date-by-category pivot table grouping the same records by station_group and date. Both reports operate entirely on the supplied data with no external lookups.
Example use cases
Filter flagged points by threshold range
“I've got coordinate quality check records from multiple station groups and I need to find all rows where flagged_points are between 2 and 10. Can you run an interval filter on flagged_points with minimum 2 and maximum 10 across these rows and also pivot the results by date and station group?”
Pivot checked points by station group over time
“Can you take these coordinate quality check records — with station groups alpha, beta, and gamma — and produce a date-by-category pivot on checked_points so I can see how each group's check counts trend across dates from 2026-09-01 to 2026-09-30?”
Audit station data quality by numeric range
“I need to audit my weather station quality data: please filter rows where checked_points fall between 0 and 100, and at the same time pivot all the flagged_points data by station_group and date — I'll supply up to 150 rows of records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-133?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric range filter and a date-by-category pivot on coordinate quality check data (checked_points, flagged_points) in a single paid call. It is best suited for batch analysis of up to 200 pre-collected rows using only supplied data — no live lookups, external enrichment, or predictions are performed. Prefer it over general analytics tools when you specifically have station_group-keyed, date-stamped coordinate quality records and want two structured reports for a flat $0.01 USDC fee.
Side effects
- Missing required fields (row_id, date, checked_points, flagged_points) causes validation errors
- Supplying more than 200 rows exceeds the row limit and may be rejected
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Minimum value greater than maximum value may produce empty filter results
- Null numeric values in checked_points or flagged_points may be excluded from interval filter results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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