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Coordinate Quality Checks — Record Audit + Deduplication + Numeric Distribution
x402
Coordinate Quality Checks — Record Audit + Deduplication + Numeric Distribution 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 three local analytical reports (record quality audit, exact row deduplication, and numeric distribution) on coordinate quality check data containing checked_points and flagged_points fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied coordinate quality checks records (checked_points, flagged_points). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit identifying missing, null, or malformed values across fields; (2) an exact row deduplication report listing duplicate rows by key; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles) for the selected numeric field (checked_points or flagged_points). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Station group data quality audit
“I have a batch of coordinate quality check records from our weather stations — about 80 rows with station_group, date, checked_points, and flagged_points. Can you audit them for record quality issues, find any exact duplicate rows, and give me a numeric distribution of the checked_points field?”
Flagged points distribution analysis
“Run a numeric distribution report on the flagged_points field from my coordinate quality dataset — I've got 120 rows across several station groups and dates, and I also want deduplication and a record quality audit included.”
Pre-analysis deduplication of coordinate data
“Before I proceed with my analysis, can you deduplicate this coordinate quality check dataset of about 50 rows, audit it for data quality issues, and show me the numeric spread of the checked_points values?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-210?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical operations — record quality audit, exact deduplication, and numeric distribution — on a small-to-medium coordinate quality check dataset (up to 200 rows) in a single low-cost call. It is best suited for pre-analysis data profiling of station group coordinate monitoring records without requiring any external data lookup or live prediction. Prefer alternatives if you need IQR-based outlier detection, category frequency analysis, or datasets larger than 200 rows.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, checked_points, flagged_points) causes row rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside the allowed range cause field-level errors
- Empty rows array rejected (minItems: 1)
- Payment failure or insufficient USDC balance prevents call execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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