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Coordinate Quality Checks — Duplicate Key Report + Two-Measure Correlation
x402
Coordinate Quality Checks — Duplicate Key Report + 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 2026-10-31).
Analyzes up to 200 rows of coordinate quality check data (checked_points, flagged_points) producing a duplicate key report and a two-measure correlation analysis using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Duplicate key report + Two-measure correlation: Duplicate key report + 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 for the supplied dataset: (1) a duplicate key report identifying any repeated row_id values across the submitted rows, and (2) a two-measure correlation analysis quantifying the statistical relationship between checked_points and flagged_points. No external data is fetched; all computation is performed locally on the supplied rows (up to 200).
Example use cases
Station QA data integrity check
“I've got 150 rows of coordinate quality check data from our sensor stations, each with a row_id, station_group, date, checked_points, and flagged_points. Can you find any duplicate row IDs and also tell me how correlated checked_points and flagged_points are across the dataset?”
Flagged point ratio analysis
“We collected coordinate QA records for groups A and B throughout September — about 80 rows total with checked_points and flagged_points per date. Run a duplicate key check and a correlation report between the two measures so I can see if flagging rates track with check volume.”
Multi-station quality audit
“Here are 200 rows of coordinate quality check records spanning five station groups over the past quarter. I need to know if there are any duplicate row_ids in the data and whether checked_points and flagged_points move together statistically.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-066?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular coordinate quality check data (up to 200 rows) and need both a duplicate key audit and a correlation between two numeric measures (checked_points and flagged_points) in a single low-cost call. It is ideal for lightweight, offline statistical QA over small-to-medium datasets where no live lookup or external enrichment is required.
Side effects
- Empty or missing rows array returns a validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, station_group, date, checked_points, flagged_points) cause item-level rejection
- Null values for both checked_points and flagged_points may degrade correlation quality
- Payment failure or insufficient USDC balance prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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