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Coordinate Quality Checks — Grouped Numeric Summary + Two-Measure Correlation
x402
Coordinate Quality Checks — Grouped Numeric Summary + 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 2026-10-30).
Computes grouped numeric summaries and a two-measure correlation between checked_points and flagged_points for coordinate quality check records, using local analytical engines on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + 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
Returns two analytical reports based on the supplied data: (1) a grouped numeric summary of checked_points and/or flagged_points broken down by station_group, and (2) a two-measure correlation between checked_points and flagged_points across the dataset. No external data is fetched; all computation is performed locally on the provided rows (up to 200).
Example use cases
Station group QC performance comparison
“I've got daily coordinate QC records for group-a and group-b across October — can you summarize the checked_points and flagged_points statistics grouped by station_group, and also tell me how correlated those two measures are overall?”
Flagging rate correlation for quality audit
“Here are 150 rows of coordinate quality checks with checked_points and flagged_points per day — please compute the grouped numeric summary by station_group and run a two-measure correlation so I can see if stations flagging more points also tend to check more.”
Monthly QC data analytics report
“Can you analyze this batch of coordinate quality data — group the numeric stats by station_group and give me the correlation between checked_points and flagged_points? I want to use this to report on which groups have the highest flag rates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-095?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have coordinate quality check records with checked_points and flagged_points measurements and need both a grouped summary and a correlation analysis in a single low-cost call. It is ideal for offline/batch analytics on supplied data (up to 200 rows) without needing live data lookup, external enrichment, or predictive modeling. Prefer this over general-purpose analytics platforms when you want a lightweight, cheap ($0.01 USDC), purpose-built report on station-group QC data.
Side effects
- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, station_group, date, checked_points, flagged_points) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in both numeric fields may produce undefined correlation results
- Fewer than 2 rows may produce degenerate or undefined correlation statistics
- Payment not included or insufficient USDC results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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