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Coordinate Quality Checks — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Coordinate Quality Checks — Record Quality Audit + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs two local analytical reports (record quality audit and secondary-measure weighted mean) 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 + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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) a record quality audit that flags anomalies, missing values, or inconsistencies in the submitted rows, and (2) a secondary-measure weighted mean computed over the chosen field (checked_points or flagged_points). Both reports are generated locally from the supplied data with no external lookups.
Example use cases
Station group quality audit
“I have coordinate inspection records for two station groups over the past week — each row has a date, group name, number of checked points, and flagged points. Can you run a record quality audit and compute the weighted mean of checked_points across all rows? I'll give you up to 50 rows of data.”
Flagged point anomaly summary
“Run a quality audit and weighted mean analysis on my coordinate QC data using flagged_points as the primary field. I have about 120 rows covering multiple station groups and dates — I want to understand the distribution and flag any record quality issues.”
Pre-submission data validation
“Before I submit my coordinate survey results, can you audit the record quality and give me a weighted mean for checked_points? I've got 30 rows with row IDs, station groups, dates, checked points, and flagged points that I need validated.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, self-contained statistical auditing and weighted mean computation on coordinate quality check data (checked_points, flagged_points) without any external lookup or prediction. It is best suited for batch submissions of up to 200 rows where two simultaneous analytical reports are needed at low cost ($0.01 USDC).
Side effects
- Submission of more than 200 rows results in rejection or truncation
- Missing required fields (row_id, date, checked_points, flagged_points) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers a schema error
- Null values in numeric fields may affect weighted mean accuracy
- Invalid enum value for 'field' parameter causes a request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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