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Coordinate Quality Checks — Grouped Numeric Summary + Base-100 Series
x402
Coordinate Quality Checks — Grouped Numeric Summary + 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 2026-10-24).
Computes a grouped numeric summary and a Base-100 index series for coordinate quality check records (checked_points, flagged_points) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 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) a grouped numeric summary of the requested field (checked_points or flagged_points) broken down by station_group, including aggregates like count, mean, min, max, and sum; and (2) a Base-100 index series for the chosen field, normalized relative to the specified base_index row. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Station group QC performance review
“I have 200 rows of daily coordinate quality check records across 5 station groups, each with checked_points and flagged_points. Can you give me a grouped numeric summary and a Base-100 series for flagged_points, indexing from the very first row?”
Flagged-point trend indexing
“Here are 50 rows of coordinate QC data from January — each row has a date, a station_group, and flagged_points counts. Can you compute a grouped summary and Base-100 index series on flagged_points, using row 0 as the baseline, so I can see how flagging rates trended relative to the start of the month?”
Baseline-normalized checked-points analysis
“I want to compare checked_points across two station groups over the past quarter — I have 90 rows with row_id, date, station_group, checked_points, and flagged_points. Please run both the grouped numeric summary and the Base-100 series on checked_points, setting row 5 as the base index.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-092?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 coordinate quality check records with checked_points and flagged_points fields and need both a grouped statistical summary by station group and a Base-100 normalized series in a single low-cost call. It is best suited for offline/batch analysis of pre-collected QC data rather than real-time monitoring or live data lookup.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, checked_points, flagged_points) cause a schema validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error
- base_index value out of range (>=number of rows submitted) causes an index error
- Null values in checked_points or flagged_points may affect summary completeness
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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