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Geospatial Tile Processing Analytics — String Normalisation + Numeric Distribution
x402
Geospatial Tile Processing Analytics — String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Runs string normalisation and numeric distribution analysis on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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 for the supplied dataset: (1) a string normalisation report on categorical/string fields such as station_group, and (2) a numeric distribution report on the selected numeric field (tile_count or processing_seconds), covering up to 200 input rows. No external lookups or predictions are made; all analysis uses local analytical engines.
Example use cases
Tile Count Distribution by Station Group
“I've got 150 rows of geospatial tile processing logs with station groups and daily tile counts — can you run a numeric distribution report on tile_count so I can see how values are spread across my pipeline?”
Normalize Station Group Labels in Tile Logs
“My tile processing records have inconsistent station_group strings across 80 rows — can you normalize those strings and give me a clean report?”
Processing Time Statistical Analysis
“I have a batch of 200 geospatial tile processing records dated from last quarter — please run the numeric distribution analysis on the processing_seconds field so I can spot outliers in pipeline performance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have geospatial tile processing records with station group and date metadata and need both string normalisation and numeric distribution analysis in a single low-cost call. It is ideal for offline/batch analytical use cases where no live data lookup, prediction, or external action is needed and the dataset fits within 200 rows.
Side effects
- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, date, tile_count, processing_seconds) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema error
- Numeric values outside allowed range — schema error
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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