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Coordinate Quality Checks — Record Quality Audit + Grouped Numeric Summary
x402
Coordinate Quality Checks — Record Quality Audit + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs two local analytical reports on coordinate quality check records: a record quality audit and a grouped numeric summary for checked_points or flagged_points, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 record quality audit identifying missing values, malformed entries, and data completeness issues across the supplied rows; and (2) a grouped numeric summary (counts, means, totals, etc.) for the selected field (checked_points or flagged_points) broken down by station_group. All computation is local with no external lookups.
Example use cases
Station network QA audit
“I have 120 rows of coordinate quality check records from different station groups with checked_points and flagged_points values — can you run a record quality audit and a grouped numeric summary on flagged_points so I can see which groups have the most issues?”
Daily coordinate monitoring report
“Run a grouped numeric summary and data quality audit on my coordinate check logs for October 2026 — each row has a station_group, date, checked_points, and flagged_points — and summarize by checked_points.”
Pre-analysis data validation for survey data
“Before I analyze my survey station data, can you audit it for record quality issues and give me a grouped numeric summary? I've got about 80 rows with station_group, date, checked_points, and flagged_points fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous local analytical reports — a data quality audit plus a grouped numeric summary — on coordinate quality check records without any external data lookups or live enrichment. It is ideal for validating station monitoring data before downstream analysis, or for producing fast grouped statistics on checked and flagged point counts across station groups.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, checked_points, flagged_points) causes row rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Null values in numeric fields are accepted but may affect summary statistics
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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