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Coordinate Quality Checks — IQR Outlier Flags + Two-Measure Correlation
x402
Coordinate Quality Checks — IQR Outlier Flags + 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 2026-10-26).
Runs IQR-based outlier detection and two-measure correlation analysis on coordinate quality check records (checked_points, flagged_points) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — IQR outlier flags + Two-measure correlation: IQR outlier flags + 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 analytical reports: (1) IQR outlier flags identifying which rows have checked_points or flagged_points values outside the interquartile range, and (2) a two-measure correlation report quantifying the statistical relationship between checked_points and flagged_points across the supplied rows.
Example use cases
Station anomaly detection for QA team
“We have 120 rows of daily coordinate quality checks across our monitoring stations — can you flag any outlier rows in the flagged_points column using IQR analysis and also show me how checked_points and flagged_points correlate with each other?”
Audit coordinate validation pipeline
“I need to audit our coordinate validation pipeline — run IQR outlier detection and a correlation report on this dataset of checked_points and flagged_points records, grouped by station_group and date, for about 80 rows.”
Weekly QA review for geospatial data
“For our weekly QA review, please analyze these 60 coordinate quality check records — flag any outliers in the checked_points field and show the two-measure correlation between checked_points and flagged_points across all station groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline statistical analysis (IQR outlier detection + correlation) on coordinate quality check records without any live geospatial lookup, prediction, or external data enrichment. It is ideal for QA pipelines processing up to 200 rows of station-level checkpoint data where you want two analytical reports in a single paid call.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds maximum, request rejected
- Missing required fields (row_id, date, checked_points, flagged_points) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- All null values in a measure column — correlation or IQR computation may be undefined
- row_id values exceeding 80 characters — schema rejection
- Payment of 0.01 USDC not completed — request blocked by x402 paywall
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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