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Geospatial Tile Processing — Record Quality Audit + String Normalisation + Date by Category Pivot
x402
Geospatial Tile Processing — Record Quality Audit + String Normalisation + Date by Category Pivot 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 data: a record quality audit, string normalisation, and a date-by-category pivot for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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 for the supplied rows: (1) a record quality audit flagging completeness and validity issues, (2) a string normalisation report for station_group and other text fields, and (3) a date-by-category pivot summarising the selected numeric field (tile_count or processing_seconds) grouped by date and station_group. All analysis is performed locally on the submitted data with no external lookups.
Example use cases
Tile processing data quality check
“I've got a batch of geospatial tile processing logs with station groups, dates, tile counts, and processing times — can you audit the record quality, normalise the station group strings, and pivot the tile_count by date and category? I have about 50 rows.”
Station group string normalisation for pipeline
“My tile processing pipeline output has inconsistent station_group labels across 120 rows. Can you run string normalisation plus a record quality audit and a date-based pivot on the processing_seconds field so I can clean things up?”
Monthly tile metrics pivot report
“I need a summary pivot of my tile processing records broken down by date and station group — please also include the record quality audit and string normalisation reports. I'll send you the rows with tile_count and processing_seconds for up to 200 entries.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-206?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have geospatial tile processing records (with tile_count and processing_seconds metrics) and need all three of a quality audit, string normalisation, and date-by-category pivot in a single low-cost call. It is ideal for small-to-medium batch analytical jobs (up to 200 rows) where no external data enrichment, live lookup, or prediction is needed — just local statistical and data-quality reports on your own submitted records.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (must match YYYY-MM-DD pattern) — row may be flagged or rejected
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) — validation error returned
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation error
- Empty rows array — request rejected with minItems violation
- Invalid field enum value (must be 'tile_count' or 'processing_seconds') — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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