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Coordinate Quality Checks — Record Quality Audit + Two-Measure Correlation
x402
Coordinate Quality Checks — Record Quality Audit + Two-Measure Correlation 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 a record quality audit and a two-measure correlation analysis on up to 200 rows of coordinate quality check data (checked_points, flagged_points), returning two independent statistical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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
Two independent analytical reports: (1) a record quality audit summarizing data completeness, validity, and anomalies across the supplied rows, and (2) a two-measure correlation analysis quantifying the statistical relationship between checked_points and flagged_points — all computed locally with no external lookups.
Example use cases
Station group QC trend analysis
“I have daily coordinate quality check logs for two station groups over the past week — can you audit the record quality and check whether checked_points and flagged_points are correlated across these rows? Here are 6 rows with row_id, station_group, date, checked_points, and flagged_points.”
Flagging rate correlation check
“We're reviewing our coordinate QC pipeline and want to know if the number of flagged_points rises proportionally with checked_points. Please run both a record quality audit and a two-measure correlation on this 50-row dataset of station group readings.”
Multi-group data quality audit
“Can you audit the quality of these 120 coordinate check records from three different station groups and also produce a correlation report between checked_points and flagged_points? I want to catch any anomalies and see if there's a consistent relationship.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record-level data quality audit and a correlation analysis between two numeric QC measures (checked_points and flagged_points) on up to 200 rows of coordinate station data in a single low-cost call, without requiring live lookups or external integrations.
Side effects
- Exceeding 200 rows causes rejection
- Missing required fields (row_id, date, checked_points, flagged_points) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- Null values in both numeric measures may reduce correlation reliability
- Submitting fewer than 1 row causes a minimum-items validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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