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Geospatial Tile Processing — Record Quality Audit + Grouped Numeric Summary
x402
Geospatial Tile Processing — Record Quality Audit + Grouped Numeric Summary 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).
Runs a record quality audit and a grouped numeric summary on up to 200 geospatial tile processing rows (tile_count, processing_seconds), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 reports: (1) a record quality audit identifying missing, null, or out-of-range values across the supplied rows, and (2) a grouped numeric summary aggregating the selected field (tile_count or processing_seconds) by station_group, including statistics such as counts, means, and totals per group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Pipeline data quality check
“I have a batch of geospatial tile processing records from last month — around 180 rows with tile counts and processing times per station group — can you audit them for quality issues and also give me a grouped summary of tile_count by station_group?”
Processing time anomaly investigation
“My tile processing pipeline logged 120 records across several station groups. Can you run a quality audit to flag any bad rows and then summarize processing_seconds grouped by station so I can spot which groups are taking longer?”
Daily tile count grouped report
“I've got about 90 rows of geospatial tile processing data from this week, each with a date, station_group, tile_count, and processing_seconds. Please audit the records for quality problems and give me a grouped numeric summary of tile_count across station groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 geospatial tile processing records with tile_count and/or processing_seconds metrics and need both a data quality audit and a grouped numeric summary in a single low-cost call. It is ideal for validating pipeline output data before downstream use or for quickly profiling station-group performance without setting up a local analytics environment. Prefer it over general-purpose data tools when cost predictability ($0.01 USDC for two reports) and simplicity matter.
Side effects
- Rows array is empty (minItems:1 violated) — validation error
- More than 200 rows supplied (maxItems:200 violated) — request rejected
- row_id missing or empty string — schema validation error
- date field does not match YYYY-MM-DD pattern — validation error
- field enum value is neither tile_count nor processing_seconds — schema error
- All values for the selected field are null — summary may be empty or degenerate
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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