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Geospatial Tile Processing — String Normalisation + Two-Measure Correlation
x402
Geospatial Tile Processing — String Normalisation + Two-Measure Correlation 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).
Normalises station group strings and computes two-measure Pearson/rank correlation between tile_count and processing_seconds for up to 200 geospatial tile processing records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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 per call: (1) a string normalisation report for the station_group field across all supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between tile_count and processing_seconds. Results are computed locally from the supplied data — no external lookups occur.
Example use cases
Tile throughput correlation analysis
“I've got 150 rows of tile processing logs with station groups like 'Group-A', 'group_a', and 'GROUP A' — can you normalise those group name strings and tell me the correlation between how many tiles were processed and how many seconds it took?”
Processing efficiency statistical check
“Here are 80 records from our geospatial pipeline: each row has a row_id, station_group, date, tile_count, and processing_seconds. Run the two-measure correlation to see if tile count is a reliable predictor of processing time, and clean up the group labels while you're at it.”
Multi-group tile performance review
“I have tile processing data from three station groups over the past month — about 200 rows total — with tile_count and processing_seconds for each. Can you normalise the station group strings and give me a two-measure correlation report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw geospatial tile processing tabular data (up to 200 rows) and need both string normalisation of categorical group labels and a two-measure statistical correlation between tile count and processing time in a single low-cost call. It is ideal for lightweight offline statistical analysis without needing a full data platform or external data enrichment.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, tile_count, processing_seconds, station_group, date) cause row-level rejection
- Malformed date strings (not YYYY-MM-DD) fail pattern validation
- Null values in both numeric columns may reduce correlation reliability
- Empty rows array rejected by minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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