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Geospatial Tile Processing — Numeric Row Ordering + Two-Measure Correlation
x402
Geospatial Tile Processing — Numeric Row Ordering + 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 2026-11-02).
Ranks rows by a chosen numeric field and computes correlation between tile_count and processing_seconds for up to 200 geospatial tile processing records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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: (1) rows ranked numerically by the selected field (tile_count or processing_seconds), and (2) a correlation analysis between tile_count and processing_seconds across all supplied rows. No external data is fetched — all computation is performed locally on the submitted dataset of up to 200 rows.
Example use cases
Tile throughput performance ranking
“Here are my tile processing logs for October — each row has a station group, date, tile_count, and processing_seconds. Can you rank all 150 rows by tile_count and also tell me how strongly tile count correlates with processing time?”
Station group processing efficiency analysis
“I've got records from two station groups across 60 days, each with tile_count and processing_seconds. Please rank the rows by processing_seconds and compute the correlation between tile count and processing time so I can see if busier tiles take proportionally longer.”
Geospatial pipeline bottleneck investigation
“Can you take these 80 geospatial tile processing records and give me a numeric row ordering by tile_count plus a two-measure correlation report showing whether tile_count and processing_seconds move together?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-120?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have geospatial tile processing records with tile_count and processing_seconds fields and need both a numeric ranking and a correlation analysis in a single low-cost call. Ideal for lightweight local statistical analysis without needing a full data warehouse or external ML service. Best suited for datasets up to 200 rows where the two specific measures (tile count and processing time) are the focus.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, tile_count, processing_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in both numeric fields may reduce correlation reliability
- Invalid field enum value (not tile_count or processing_seconds) — error returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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