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Geospatial Tile Processing Analytics — Quality Audit, String Normalisation & Two-Measure Correlation
x402
Geospatial Tile Processing Analytics — Quality Audit, 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).
Runs three local analytical reports on geospatial tile processing records: a record quality audit, string normalisation, and a correlation analysis between tile_count and processing_seconds.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied geospatial tile processing records (tile_count, processing_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values across the supplied rows; (2) string normalisation results for the station_group field; and (3) a two-measure correlation report between tile_count and processing_seconds. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Pipeline data quality check
“I've got 120 rows of geospatial tile processing logs from last month — can you run a quality audit on them, normalise the station_group strings, and tell me if there's a meaningful correlation between how many tiles were processed and how long it took?”
Station group string cleanup
“My tile processing dataset has messy station_group labels across 80 records with dates in October 2026 — please normalise those strings, audit the overall record quality, and also correlate tile_count against processing_seconds for me.”
Processing efficiency correlation analysis
“I want to understand whether processing time scales with tile count in my geospatial pipeline. Can you take these 200 tile processing records, run a quality audit, normalise the station group names, and compute the correlation between tile_count and processing_seconds?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality audit, string normalisation, and correlation analysis on up to 200 geospatial tile processing records in a single low-cost call ($0.01 USDC). It is ideal when you want three analytical outputs simultaneously without setting up separate analytical pipelines. It is not suitable for live geospatial lookups, predictions, or datasets exceeding 200 rows.
Side effects
- Empty or missing rows array returns a validation error
- More than 200 rows in the array exceeds the row limit and will be rejected
- Rows missing required fields (row_id, station_group, date, tile_count, processing_seconds) fail schema validation
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Both tile_count and processing_seconds being null across all rows prevents correlation computation
- Payment not included or insufficient USDC causes 402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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