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Geospatial Tile Processing — Grouped Numeric Summary + Daily Sum Series
x402
Geospatial Tile Processing — Grouped Numeric Summary + 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 2026-11-02).
Computes a grouped numeric summary and a daily sum time series for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Grouped numeric summary + Daily sum series: Grouped numeric summary + 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 grouped numeric summary of the chosen field (tile_count or processing_seconds) broken down by station_group, including aggregate statistics per group; and (2) a daily sum time series showing the total of the chosen field for each date in the dataset. Both reports are derived entirely from the supplied rows — no external data is fetched.
Example use cases
Daily tile throughput trend analysis
“I've got 150 rows of geospatial tile processing logs from October, each with a date, station group, tile count, and processing seconds. Can you produce a grouped numeric summary and daily sum series for tile_count so I can see how throughput trended day by day?”
Processing latency audit by station group
“Here are 80 geospatial tile processing records with station groups and processing_seconds values across several weeks. Give me a grouped numeric summary and daily sum series for processing_seconds so I can spot which groups are slowest.”
Pipeline capacity planning report
“I have 200 rows of tile processing data across 5 station groups for the last quarter. Run a grouped numeric summary and daily sum series on tile_count so my team can plan capacity for each station group next quarter.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-089?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 geospatial tile processing records and need both a grouped statistical summary (by station_group) and a daily sum time series for either tile_count or processing_seconds in a single low-cost call. It is ideal for batch analytical reporting on pipeline data without needing a live data source, external lookup, or prediction model. Prefer alternatives if you need more than 200 rows, real-time data, or report types other than grouped numeric summary and daily sum series.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric fields outside allowed range (±1,000,000,000,000) are rejected
- Empty rows array is not accepted (minItems: 1)
- Payment not included or insufficient USDC causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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