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Geospatial Tile Processing — Numeric Interval Filter + Keyed Dataset Comparison
x402
Geospatial Tile Processing — Numeric Interval Filter + Keyed 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).
Runs two analytical reports on supplied geospatial tile processing records: a numeric interval filter on tile_count or processing_seconds, and a keyed comparison between two datasets of up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + 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 analytical reports: (1) rows from the primary dataset that fall within the specified numeric interval for the chosen field (tile_count or processing_seconds), and (2) a keyed comparison between the primary and secondary datasets identifying matching, differing, and unmatched rows by row_id.
Example use cases
Detecting tile count anomalies across datasets
“I've got two batches of geospatial tile processing logs from last month, each about 150 rows, with tile_count and processing_seconds. Can you filter on tile_count to find records outside a normal range and then compare the two batches side by side to see which rows differ?”
Comparing processing speed between station groups
“I want to compare processing_seconds between my two station group datasets — group-a and group-b — using interval filtering to isolate the slow jobs, and then a keyed comparison to see which rows changed between the two datasets.”
QA check on updated tile pipeline output
“We just updated our tile processing pipeline and I have the before and after datasets, both around 100 rows. Can you run an interval filter on tile_count and do a keyed row comparison to confirm what changed and whether any values fall outside expected bounds?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected geospatial tile processing records (up to 200 rows) and need both a numeric interval filter and a keyed cross-dataset comparison in a single call. It is ideal for QA, pipeline validation, or anomaly detection on tile_count and processing_seconds data where no live data lookup, prediction, or external enrichment is needed. Not appropriate for real-time geospatial lookups, weather forecasting, or datasets exceeding 200 rows.
Side effects
- Input dataset exceeds 200 rows — 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 validation failure
- No rows provided (minItems:1 not met) — empty input error
- Numeric values outside allowed range (±1e12) — validation rejection
- Payment not included or insufficient — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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