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Geospatial Tile Processing — Record Quality Audit + String Normalisation + Trailing Mean Series
x402
Geospatial Tile Processing — Record Quality Audit + String Normalisation + 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 2026-11-02).
Runs three local analytical reports on geospatial tile processing records: a record quality audit, string normalisation, and a trailing mean time series — no external lookups or live data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied geospatial tile processing records (tile_count, processing_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging null values, out-of-range numbers, and format issues; (2) a string normalisation report showing cleaned station_group values; and (3) a trailing mean series for the selected numeric field (tile_count or processing_seconds) computed over the specified window size — all derived from the supplied rows with no external data sources.
Example use cases
Tile pipeline data quality check
“I have about 80 rows of daily tile processing logs from our geospatial pipeline — can you run a quality audit on them and flag any missing or malformed values in tile_count and processing_seconds?”
Station group label normalisation
“Our station_group field has inconsistent capitalisation and spacing across 150 records — can you normalise those strings and give me a clean report of what changed?”
Rolling average for processing time monitoring
“Can you compute a trailing mean over a window of 5 for processing_seconds across my 120 geospatial tile records so I can see if processing time is trending up or down?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-199?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 geospatial tile processing records and need all three reports — quality audit, string normalisation, and trailing mean series — bundled into a single $0.01 call. Prefer this over separate analytics tools when your data is already structured with row_id, station_group, date, tile_count, and processing_seconds fields and you want purely local, deterministic computation with no external API calls or live data dependencies.
Side effects
- Fewer than 1 or more than 200 rows submitted — rejected with validation error
- Invalid date format (not YYYY-MM-DD) — row-level validation failure
- Window size larger than the number of submitted rows — trailing mean series may be empty or return NaN values
- Null values in tile_count or processing_seconds — quality audit flags them but mean series may skip those rows
- row_id or station_group exceeding 80 characters — truncation or rejection
- Numeric values outside ±1,000,000,000,000 range — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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