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Geospatial Tile Processing Analytics — Numeric Row Ordering + Date by Category Pivot
x402
Geospatial Tile Processing Analytics — Numeric Row Ordering + Date by Category Pivot 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 geospatial tile processing data: numeric row ordering (ranking rows by tile_count or processing_seconds) and a date-by-category pivot table grouping metrics by station group over time.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Numeric row ordering + Date by category pivot: Numeric row ordering + Date by category pivot for supplied geospatial tile processing records (tile_count, processing_seconds). 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 derived from the supplied rows: (1) all records numerically ordered by the selected field (tile_count or processing_seconds), and (2) a pivot table cross-tabulating dates against station group categories for the chosen metric. Up to 200 input rows are processed with no external lookups.
Example use cases
Ranking tile jobs by processing speed
“I have a batch of geospatial tile processing jobs with row IDs, dates, station groups, and processing times — can you rank all rows from fastest to slowest by processing_seconds and also pivot the processing_seconds values by station group and date so I can see trends?”
Comparing tile volume across station groups
“Here are my tile processing records for the past month across groups A, B, and C — rank them by tile_count and show me a date-by-category pivot so I can see which group processed the most tiles on each day.”
Auditing geospatial pipeline throughput
“I need to audit our geospatial pipeline — I've got up to 200 rows with tile counts and processing seconds per station group. Can you give me a numeric ranking by tile_count and a pivot table of tile_count by date and station group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-122?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular geospatial tile processing data (up to 200 rows) and need both a ranked ordering and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical summarization of tile processing pipelines without requiring external data sources, live APIs, or predictions.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (non-YYYY-MM-DD strings) — schema validation error
- Unrecognized field value outside enum ['tile_count','processing_seconds'] — rejected
- Missing required fields (row_id, station_group, date) — validation failure
- Numeric values outside allowed range (±1 trillion) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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