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Geospatial Tile Processing — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Geospatial Tile Processing — Numeric Row Ordering + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Ranks geospatial tile processing records by numeric row order and computes a secondary-measure weighted mean across up to 200 supplied rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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) the input rows sorted by numeric row order, and (2) a secondary-measure weighted mean computed over the chosen field (tile_count or processing_seconds), covering up to 200 input rows per call.
Example use cases
Station group tile throughput analysis
“I have 80 rows of daily tile processing logs across station groups A, B, and C, each with a tile_count and processing_seconds value — can you rank them by row order and give me a weighted mean on processing_seconds so I can see which groups are slower?”
Geospatial pipeline performance audit
“Here are 120 geospatial tile processing records from October 2026, with row IDs, dates, and both tile_count and processing_seconds — please run the numeric row ordering and weighted mean report on tile_count for me.”
Daily tile count weighted summary
“I've got 30 tile processing entries from our rendering pipeline, each with a station group, date, tile_count, and processing_seconds — rank them numerically and compute the secondary-measure weighted mean on processing_seconds so I can spot outliers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured geospatial tile processing tabular data (up to 200 rows) and need both a numeric row ranking and a weighted mean on a numeric measure in a single low-cost call. It is a pure local analytical computation with no external lookups, making it deterministic and fast. Prefer it over general-purpose analytics tools when the data fits the tile_count/processing_seconds schema and you want two bundled reports for $0.01 USDC.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) — row-level validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation error
- Empty rows array — minItems violation
- Invalid field selector (not 'tile_count' or 'processing_seconds') — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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