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Coordinate Quality Checks — Record Quality Audit + Adjacent Row Changes
x402
Coordinate Quality Checks — Record Quality Audit + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs two local analytical reports (record quality audit and adjacent row changes) on up to 200 rows of coordinate quality check data (checked_points, flagged_points)
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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 independent analytical reports for the submitted rows: (1) a record quality audit identifying data issues, nulls, and anomalies per row, and (2) an adjacent row changes report showing value differences between consecutive rows — all computed locally without any external lookup or live data fetch.
Example use cases
Weather station data integrity check
“I have 150 rows of coordinate quality check records for our weather stations from last month — can you audit them for data quality issues and flag any suspicious jumps between consecutive rows in the checked_points field?”
Flagged points anomaly detection
“Run a quality audit on my flagged_points data for station group alpha across the past quarter, and show me where adjacent rows have unusual changes — I want to catch any data entry errors before publishing.”
Pre-analysis data validation for QC pipeline
“Before I run my main analysis, can you do a record quality audit and adjacent row changes check on these 80 coordinate quality check rows, focusing on the flagged_points column, and tell me which rows look problematic?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have batches of up to 200 coordinate quality check records with checked_points and flagged_points and need two simultaneous analytical reports — a quality audit and adjacent row difference analysis — without requiring live data lookups, external APIs, or professional assessments. Ideal for pre-processing pipelines validating geospatial or weather station QC data before downstream analysis.
Side effects
- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, date, checked_points, flagged_points) cause validation errors
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Invalid field enum value (not 'checked_points' or 'flagged_points') causes error
- All-null checked_points or flagged_points may produce limited or empty audit output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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