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Geospatial Tile Processing — Numeric Interval Filter + Trailing Mean Series
x402
Geospatial Tile Processing — Numeric Interval Filter + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Applies a numeric interval filter and computes a trailing mean time series on user-supplied geospatial tile processing records (tile_count, processing_seconds), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean 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 filtered subset of the input rows where the selected numeric field (tile_count or processing_seconds) falls within the specified minimum–maximum interval, and (2) a trailing mean time series computed over the selected field using the specified rolling window size. Both reports cover the same up to 200 supplied rows and are computed locally without external lookups.
Example use cases
Tile throughput anomaly detection
“Here are 120 daily records from our tile rendering pipeline with tile_count and processing_seconds per station. Filter out any rows where processing_seconds is outside the 1 to 60 range, and also give me a trailing mean with a window of 7 over processing_seconds so I can spot slowdown trends.”
Station group performance trending
“I have 80 rows of geospatial tile processing logs across two station groups. Can you run a trailing mean with a window of 5 on tile_count for each date, and also filter the records to only those where tile_count is between 10 and 500?”
Quality gate for tile processing backlog
“Before we escalate our tile processing backlog, I need to flag records where processing_seconds falls between 30 and 300, and separately see the 4-period rolling average of processing_seconds — I'm uploading 200 rows of data with row_id, station_group, date, tile_count, and processing_seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 geospatial tile processing records and need both a numeric interval filter (to isolate rows within a value range) and a rolling/trailing mean time series in a single low-cost call. It is ideal for lightweight, self-contained analytics on tile_count or processing_seconds data without requiring an external analytics platform or live data source.
Side effects
- Input rows array is empty or missing — validation error
- More than 200 rows submitted — request rejected
- Date strings not matching YYYY-MM-DD pattern — validation error
- Minimum value greater than maximum value — may return empty filter result
- Window size larger than number of rows — trailing mean may produce nulls or partial results
- Field value not one of 'tile_count' or 'processing_seconds' — enum validation error
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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