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Geospatial Tile Processing Analytics — Numeric Row Ordering + Daily Sum Series
x402
Geospatial Tile Processing Analytics — Numeric Row Ordering + 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 2026-10-25).
Computes two local analytical reports (numeric row ordering and daily sum series) over supplied geospatial tile processing records containing tile_count and processing_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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
Returns two analytical reports computed locally from the supplied rows: (1) a numeric row ordering that ranks the input records by the selected field (tile_count or processing_seconds), and (2) a daily sum series that aggregates the selected field's values by date. Covers up to 200 input rows.
Example use cases
Daily tile throughput trend analysis
“I have a week of tile processing logs across two station groups — each row has a date, station_group, tile_count, and processing_seconds. Can you give me a daily sum series for tile_count so I can see how throughput varied day by day?”
Ranking processing jobs by duration
“Here are 150 tile processing records with row IDs and processing_seconds values. Can you sort them numerically by processing_seconds and also give me the daily aggregated totals for processing_seconds?”
Station group workload summary
“I want to compare tile processing load across my station groups over the past month — I have records with tile_count and processing_seconds per date. Can you produce a numeric row ordering and a daily sum series for tile_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-114?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 geospatial tile processing records and need both a rank-ordered view and a daily aggregated time series in a single low-cost call. It is self-contained (no external lookups) and ideal for lightweight operational reporting on tile_count or processing_seconds without building a local analytics pipeline.
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, date, tile_count, processing_seconds) on any row — validation error
- Date field not in YYYY-MM-DD format — pattern mismatch rejection
- Numeric fields outside allowed range (-1e12 to 1e12) — schema validation failure
- Empty rows array submitted — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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