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Geospatial Tile Processing — Grouped Summary & Dataset Comparison
x402
Geospatial Tile Processing — Grouped Summary & Dataset Comparison 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 grouped numeric summaries and keyed dataset comparisons on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows across two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison 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 independent analytical reports: (1) a grouped numeric summary breaking down the selected field (tile_count or processing_seconds) by station_group, and (2) a keyed dataset comparison highlighting differences between the primary rows dataset and the secondary 'other' dataset on matching row_ids. All computation is performed locally on the supplied data with no external lookups.
Example use cases
Compare tile throughput between pipeline runs
“I ran our tile rendering pipeline twice this week with different configs — here are the records for each run with tile_count and processing_seconds per station group. Can you give me a grouped summary of tile_count for the first run and then compare the two runs row-by-row to see where the numbers differ?”
Audit processing time anomalies by station group
“Here are 150 geospatial tile processing records from last month grouped by station_group, each with processing_seconds. Can you summarize the processing_seconds by group and compare them against our baseline dataset to flag any significant changes?”
Validate tile counts before and after reprocessing
“We reprocessed a batch of map tiles and I need to verify the results. I have the original tile_count records and the reprocessed ones — both have station_group and date fields. Please run a grouped summary and a keyed dataset comparison on tile_count to confirm they match up.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-098?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped aggregate summary and a side-by-side keyed comparison of geospatial tile processing records in a single low-cost call. It is ideal for pipeline performance audits, before/after reprocessing validation, and station-group-level throughput analysis on batches up to 200 rows. It does not perform live geospatial lookups, predictions, or external data fetching — all analysis is purely computational on the data you supply.
Side effects
- Input rows array exceeds 200-item limit — request rejected
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema rejection
- Numeric values out of allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minimum 1 item required
- Mismatched row_ids between rows and other dataset — comparison may return empty or partial results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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