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Coordinate Quality Checks — Record Audit, String Normalisation & Grouped Numeric Summary
x402
Coordinate Quality Checks — Record Audit, String Normalisation & Grouped Numeric Summary 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, string normalisation, grouped numeric summary) 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 + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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
Three independent analytical reports: (1) a record quality audit identifying missing, malformed, or out-of-range values across the supplied rows; (2) a string normalisation report cleaning and standardising station_group and other string fields; (3) a grouped numeric summary aggregating the selected numeric field (checked_points or flagged_points) by station_group. All computed locally with no external lookups.
Example use cases
Station network coordinate QA audit
“I have 50 rows of coordinate quality check results across several station groups with dates, checked_points, and flagged_points — can you run a record quality audit and string normalisation on the station_group names, plus give me a grouped numeric summary using flagged_points as the key field?”
Flagged point anomaly investigation
“I want to find data quality problems in my coordinate monitoring dataset — run an audit and grouped summary on these 30 rows of checked and flagged point counts by station group, using flagged_points as the analysis field.”
Grouped summary for QA reporting
“Can you produce a grouped numeric summary and quality audit for my coordinate QA records? I have readings from group-alpha and group-beta across 10 dates, with checked_points and flagged_points for each — I need the three standard reports so I can include them in my quality report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three coordinated data-quality reports (audit, string normalisation, grouped numeric summary) on a batch of up to 200 coordinate quality check records in a single low-cost call. Prefer it over general-purpose analytics when your data specifically has station_group, date, checked_points, and flagged_points fields and you want all three report types bundled for $0.01. Not suitable for live coordinate lookups, map rendering, prediction, or datasets exceeding 200 rows.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds row limit, request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, station_group, date, checked_points, flagged_points) — schema validation failure
- checked_points or flagged_points outside allowed numeric range — rejected
- Invalid field enum value — must be 'checked_points' or 'flagged_points'
- Payment of 0.01 USDC not completed — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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