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Geospatial Tile Processing — Daily Sum Series + Explicit Missing-Value Fill
x402
Geospatial Tile Processing — Daily Sum Series + Explicit Missing-Value Fill 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 daily sum time series and fills missing values (zero, mean, or median) for geospatial tile processing records (tile_count, processing_seconds), producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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 on the supplied geospatial tile processing data: a daily sum time series for the selected field (tile_count or processing_seconds) and an explicit missing-value fill using the chosen method (zero, mean, or median). Results are computed locally from the submitted rows — no external data is fetched.
Example use cases
Satellite tile throughput daily summary
“Here are my daily geospatial tile processing logs for October — each row has a date, station group, tile_count, and processing_seconds. Can you compute the daily sum series for tile_count and fill any gaps using median so I can see overall throughput trends across the month?”
Processing time gap-filling for pipeline audit
“I'm auditing our tile pipeline and some station groups have missing processing_seconds entries. Can you take these records, fill the nulls with the mean, and give me a daily sum series for processing_seconds so I can spot anomalies?”
Multi-group station daily aggregation
“I have tile processing data from two station groups — group-a and group-b — across about 150 rows. Please compute the daily sum series for tile_count with zero-fill for any missing dates and produce two analytical reports I can compare across the groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-145?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have geospatial tile processing records (with tile_count and/or processing_seconds fields) and need both a daily sum aggregation and missing-value imputation in a single low-cost call (0.01 USDC). It is ideal for offline/batch analytical tasks on up to 200 rows where no live data lookup or external enrichment is required. Prefer it over general-purpose analytics when your data is already in the expected schema and you want two ready-to-use reports without building your own aggregation pipeline.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, date, tile_count, processing_seconds) cause validation error
- Numeric values outside ±1,000,000,000,000 rejected
- Empty rows array returns error
- Unknown fill method or field enum value causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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