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Geospatial Tile Processing — Exact Row Deduplication + Adjacent Row Changes
x402
Geospatial Tile Processing — Exact Row Deduplication + Adjacent Row Changes 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).
Performs exact row deduplication and adjacent row change detection on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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) an exact row deduplication report identifying which rows are exact duplicates within the submitted dataset, and (2) an adjacent row changes report showing where consecutive rows differ in the selected field (tile_count or processing_seconds). No external data is fetched; analysis is purely on submitted rows.
Example use cases
Deduplicating tile pipeline batch output
“I just ran a batch tile processing job and suspect there are duplicate rows in the output — can you run exact row deduplication on these tile processing records across station groups and dates, and also flag where the tile_count changed between adjacent rows? I'll give you up to 150 rows.”
QA check on processing seconds data
“Can you check this set of geospatial tile processing records for exact duplicate entries and also identify adjacent row changes in processing_seconds? I have about 80 rows with station_group, date, row_id, tile_count, and processing_seconds fields.”
Monitoring consecutive tile count shifts by station
“I want to see if consecutive tile processing records for my station groups show unexpected jumps — please deduplicate the rows first and then report on adjacent row changes in tile_count for this dataset of 60 records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-046?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate detection and adjacent-row change analysis on geospatial tile processing records (tile_count or processing_seconds) in a single low-cost call. It is ideal for data quality checks on pipeline outputs where you want to clean duplicates and audit sequential changes simultaneously, without needing any external lookup or live data enrichment.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) causes row rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric fields outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Payment failure or insufficient USDC balance prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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