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Coordinate Quality Checks — Category Frequencies + Daily Sum Series
x402
Coordinate Quality Checks — Category Frequencies + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Runs two local analytical reports (category frequency distribution and daily sum series) on coordinate quality check records 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 — Category frequencies + Daily sum series: Category frequencies + Daily sum series 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 independent analytical reports: (1) a category frequency table showing how often each station_group or category value appears in the dataset, and (2) a daily sum series aggregating the selected numeric field (checked_points or flagged_points) by date — all computed locally from the supplied rows with no external data lookups.
Example use cases
Daily flagged points trend analysis
“I have 150 rows of coordinate quality check records from our weather stations with dates, station groups, checked_points, and flagged_points — can you compute the daily sum series for flagged_points so I can see how totals trend over time?”
Station group frequency breakdown
“Run a category frequencies report on my coordinate quality check data — I want to see how often each station_group appears. Here are my records with row_id, date, station_group, checked_points, and flagged_points fields.”
Quality check audit for sensor network
“I need both reports — category frequencies and daily sum series — on my sensor network's quality check logs for the checked_points field. I've got about 80 rows with station groups and dates from October 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-23-102?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected coordinate quality check records (checked_points, flagged_points) and need two standard analytical summaries — category frequencies and a daily sum series — computed from your own supplied data without any live lookup, external API calls, or prediction. Ideal for batch analysis of up to 200 rows of station group quality data at low cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, station_group, date, checked_points, or flagged_points) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field selector not one of 'checked_points' or 'flagged_points' — enum validation error
- Empty rows array — minItems violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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