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Geospatial Tile Processing — Exact Row Deduplication + Daily Sum Series
x402
Geospatial Tile Processing — Exact Row Deduplication + 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 2026-10-29).
Deduplicates geospatial tile processing records and computes daily sum time series for tile_count or processing_seconds, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Exact row deduplication + Daily sum series: Exact row deduplication + 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
Two reports: (1) the deduplicated set of input rows with exact duplicates removed, and (2) a daily sum time series for the selected field (tile_count or processing_seconds), aggregated across all records per date.
Example use cases
Daily tile count aggregation for pipeline audit
“Here are my geospatial tile processing logs for October — deduplicate any repeated rows and give me a daily sum series for tile_count so I can audit how many tiles were processed each day.”
Processing seconds totals by date
“I've got up to 150 tile processing records with station_group and processing_seconds fields. Can you remove any exact duplicate rows and compute the daily sum of processing_seconds across all dates?”
Cleaning and summarizing mixed station group data
“My tile processing dataset has records from multiple station groups and I suspect some duplicates crept in — please deduplicate and give me a daily sum report for tile_count so I can compare groups over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-044?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and a daily sum time series on geospatial tile processing records (tile_count or processing_seconds) in a single low-cost call. Ideal for offline/batch analytical workflows on supplied data up to 200 rows, where no external lookup, live data, or prediction is needed.
Side effects
- More than 200 rows submitted — request exceeds row limit
- Missing required fields (row_id, date, station_group) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Empty rows array — minimum 1 row required
- Numeric values out of allowed range — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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