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Geospatial Tile Processing — Record Quality Audit + Daily Sum Series
x402
Geospatial Tile Processing — Record Quality Audit + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Runs two local analytical reports on geospatial tile processing records: a record quality audit and a daily sum time series, for up to 200 rows of tile_count or processing_seconds data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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) a record quality audit flagging completeness, validity, or consistency issues across the supplied rows, and (2) a daily sum time series aggregating the selected numeric field (tile_count or processing_seconds) by date — both computed locally without external lookups.
Example use cases
Daily tile throughput trend audit
“I have a week of geospatial tile processing logs across two station groups — can you run a record quality audit and show me the daily sum series for tile_count so I can spot any gaps or spikes?”
Processing time data quality check
“Here are 50 rows of tile processing records with dates, station groups, and processing_seconds values — please audit them for data quality issues and give me the daily totals for processing_seconds.”
Pipeline QA before ingestion
“Before I ingest these 120 tile processing records into our warehouse, can you run a quality audit and generate a daily sum series on tile_count to confirm the data looks clean and complete?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two fast, offline analytical reports — a quality audit plus a daily sum series — on a batch of geospatial tile processing records (up to 200 rows) without requiring any live data lookup, external enrichment, or prediction. It is ideal for pipeline QA, data validation before ingestion, or quick exploratory aggregation of tile_count or processing_seconds fields at low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row supplied returns a validation error
- More than 200 rows causes rejection due to row limit
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Unrecognized field enum value (not tile_count or processing_seconds) returns an error
- Missing required fields (row_id, date, station_group) cause row-level rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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