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Geospatial Tile Processing — String Normalisation + Explicit Missing-Value Fill
x402
Geospatial Tile Processing — String Normalisation + 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 2026-11-03).
Normalises string fields and fills missing numeric values (tile_count, processing_seconds) in geospatial tile processing records using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — String normalisation + Explicit missing-value fill: String normalisation + 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 up to 2 analytical reports per call: cleaned records with normalised string fields and filled numeric values for the chosen field (tile_count or processing_seconds), using the selected imputation method (zero, mean, or median), covering up to 200 input rows.
Example use cases
Impute missing tile counts before pipeline
“I'm preparing my geospatial tile processing dataset for analysis — some of the tile_count values are null. Can you fill in those missing values using median imputation across my 150 rows so the pipeline doesn't break?”
Standardise station group labels
“My station_group strings in these tile processing records are inconsistently formatted. Can you normalise them and also fill any missing processing_seconds values with the mean across all my records?”
Zero-fill missing processing seconds
“I need to zero-fill any null processing_seconds entries in my 80-row geospatial tile dataset and clean up the string fields at the same time — can you run that for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have geospatial tile processing records (tile_count, processing_seconds) with missing numeric values and/or inconsistent string fields, and need a lightweight, low-cost ($0.01 USDC) local analytical clean-up covering up to 200 rows without any external lookup or live data dependency. Prefer it over heavier ETL services when you only need string normalisation and missing-value imputation on a small batch.
Side effects
- Input array exceeds 200 rows — rejected with validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unknown imputation method enum value — rejected
- Numeric values outside allowed range — validation error
- Empty rows array — rejected (minItems: 1)
- row_id missing or empty — required field error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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