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Geospatial Tile Processing — Numeric Distribution + Keyed Dataset Comparison
x402
Geospatial Tile Processing — Numeric Distribution + Keyed Dataset Comparison 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).
Computes numeric distribution statistics and performs keyed dataset comparison for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison 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 independent analytical reports: (1) a numeric distribution report for the selected field (tile_count or processing_seconds) across the supplied rows, including statistical distribution metrics; and (2) a keyed dataset comparison report showing differences between the primary and secondary (other) dataset by row_id key. Both reports are generated from supplied data with no external lookups.
Example use cases
Pipeline throughput distribution audit
“I have 150 rows of daily tile processing logs with station_group, date, tile_count, and processing_seconds — can you show me the numeric distribution of tile_count and compare this week's records against last week's by row key?”
Station group processing time comparison
“I've got two batches of geospatial tile processing data, each with up to 100 rows including station_group and processing_seconds fields — run a distribution report on processing_seconds and compare the two batches to see where they differ by station key.”
Geospatial pipeline performance benchmarking
“Compare my baseline tile processing dataset against a new test run — both have about 80 rows with tile_count and processing_seconds — and give me the numeric distribution of tile_count plus a keyed comparison between the two sets.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-084?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected geospatial tile processing records and need both a numeric distribution analysis and a keyed comparison between two datasets in a single call. It is ideal for offline/batch analytics on up to 200 rows of tile processing data without requiring any live data lookup or external enrichment. Prefer this over general-purpose stats APIs when your data specifically involves tile_count and processing_seconds fields organized by station_group and date.
Side effects
- Exceeding 200 rows in either dataset returns a validation error
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) causes a schema validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Supplying an invalid field enum value (not 'tile_count' or 'processing_seconds') returns an error
- Empty rows array (minItems:1 violated) causes a request rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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