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Coordinate Quality Checks — String Normalisation + Numeric Interval Filter
x402
Coordinate Quality Checks — String Normalisation + Numeric Interval Filter 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).
Normalises station group strings and filters coordinate quality check records (checked_points, flagged_points) by a numeric interval, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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: one covering string normalisation of the station_group field across supplied rows, and one covering a numeric interval filter applied to the chosen field (checked_points or flagged_points) within the specified minimum/maximum bounds — covering up to 200 input rows with no external lookups or live data.
Example use cases
Filter flagged coordinate records by threshold
“I've got 120 coordinate quality check rows and I want to see which ones have flagged_points between 1 and 50 — can you run the numeric interval filter on flagged_points with minimum 1 and maximum 50 and also normalise the station group strings?”
QA pipeline for weather station data
“Before I pass this batch of 80 weather station quality check records downstream, can you normalise the station_group names and filter out any rows where checked_points falls outside the range 0 to 200?”
Audit coordinate data for outlier flags
“I need to audit these 30 rows of coordinate quality data — run string normalisation on station_group and filter checked_points between 5 and 500 so I can see what's in bounds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-026?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 coordinate quality check records with station_group labels and numeric quality metrics (checked_points, flagged_points) and need both string normalisation and a numeric interval filter applied in a single call without any external lookup, prediction, or live data dependency. It is well-suited for pre-processing or QA steps in a data pipeline where you need two bundled local analytical reports at low cost.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, checked_points, flagged_points) — validation error
- Date string does not match YYYY-MM-DD pattern — schema validation failure
- minimum greater than maximum — logically invalid interval, may return empty filter results
- Non-numeric values supplied for checked_points or flagged_points — schema rejection
- Payment not completed — 402 response, no report generated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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