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Coordinate Quality Checks — Adjacent Row Changes + Two-Measure Correlation
x402
Coordinate Quality Checks — Adjacent Row Changes + 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 2026-10-23).
Analyzes up to 200 rows of coordinate quality check data (checked_points, flagged_points) producing two local analytical reports: adjacent row change detection and two-measure correlation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Adjacent row changes + Two-measure correlation: Adjacent row changes + 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 derived from the supplied rows: (1) an adjacent row change report highlighting differences between consecutive entries in the selected measure, and (2) a two-measure correlation report showing the statistical relationship between checked_points and flagged_points — all computed locally on the submitted data, no external lookups.
Example use cases
Weather station QC trend detection
“I've got daily coordinate quality records from three weather station groups over the past month — each row has checked_points and flagged_points. Can you analyze the adjacent row changes and correlate the two measures so I can spot sudden quality drops?”
Flagged point anomaly investigation
“Here are 120 rows of coordinate check data with date, station_group, checked_points, and flagged_points. Please run adjacent row change detection and a two-measure correlation on flagged_points to help me find where anomalies are clustering.”
Multi-group coordinate audit report
“I need a quality audit on this dataset of coordinate checks across groups A and B — 80 rows total with checked_points and flagged_points. Give me the adjacent row change report and the correlation between the two measures using the checked_points field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular coordinate quality check data (checked_points and flagged_points) and need both an adjacent-row change analysis and a two-measure correlation in a single low-cost call. It is best suited for offline/batch analytical workflows on pre-collected station group data where no live lookup, prediction, or external data enrichment is needed.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, date, checked_points, flagged_points) — validation error
- Date values not matching YYYY-MM-DD format — schema validation failure
- null values in both numeric fields preventing correlation computation
- field enum value not recognized — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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