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Coordinate Quality Checks — Numeric Interval Filter + Adjacent Row Changes
x402
Coordinate Quality Checks — Numeric Interval Filter + 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 2026-11-02).
Runs two local analytical reports on coordinate quality check data: filters rows by a numeric interval on checked_points or flagged_points, and detects adjacent row changes across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coordinate quality checks — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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
Two analytical reports: (1) a numeric interval filter report listing rows where the selected field (checked_points or flagged_points) falls within the specified minimum/maximum range, and (2) an adjacent row changes report highlighting where consecutive rows differ in the selected field — both computed locally on the supplied data without any external lookup.
Example use cases
QC anomaly detection for weather stations
“I have 120 rows of coordinate quality check data for my weather stations with checked_points and flagged_points per day. Can you filter to only rows where checked_points falls between 10 and 100, and also flag any adjacent row changes in that field?”
Flagged points trend monitoring
“Here are 80 daily QC records across two station groups — run an interval filter on flagged_points between 0 and 5, and tell me where adjacent rows show changes in flagged_points.”
Multi-group station QC batch review
“I need to review 200 rows of coordinate quality checks across multiple station groups. Filter checked_points to the range 0 to 200 and give me a report on adjacent row changes for checked_points as well.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-127?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of coordinate quality check records (with checked_points and flagged_points fields) and need both a numeric range filter and adjacent row change detection in a single low-cost call. It is ideal for offline/local analytical processing of QC tabular data without needing live weather data, predictions, or external enrichment.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, checked_points, flagged_points) cause validation errors
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Minimum greater than maximum produces empty interval filter result
- Null values in checked_points/flagged_points may affect change detection output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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