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Geospatial Tile Processing — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Geospatial Tile Processing — Record Quality Audit + String Normalisation + Numeric Interval Filter 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).
Performs three local analytical reports on geospatial tile processing records: a record quality audit, string normalisation, and a numeric interval filter on tile_count or processing_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 generated from the supplied rows: (1) a record quality audit flagging completeness and validity issues, (2) a string normalisation report for the station_group field, and (3) a numeric interval filter report showing which records fall within the specified minimum/maximum range for the chosen numeric field (tile_count or processing_seconds). All processing is local with no external lookups.
Example use cases
Pipeline data quality check
“I have a batch of up to 150 geospatial tile processing records with fields row_id, station_group, date, tile_count, and processing_seconds. Can you audit them for quality issues, normalise the station_group strings, and filter out any tile_count values outside the range 0 to 1000?”
Anomalous processing time detection
“Run the three reports on these tile processing records — quality audit, string normalisation, and a numeric interval filter on processing_seconds between 1 and 300 — so I can identify records with abnormal processing times.”
Pre-ingestion data validation
“Before I load these geospatial tile records into our database, can you do a record quality audit, normalise the station_group strings, and filter the tile_count field to only include values between 5 and 10000? I have about 80 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical operations — quality auditing, string normalisation, and numeric range filtering — on geospatial tile processing data in a single call at low cost ($0.01 USDC for up to 200 rows). Best suited for pre-ingestion validation, batch data cleaning, or pipeline QA where no live data lookup or external enrichment is needed.
Side effects
- Submitting more than 200 rows returns an error or truncates input
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) cause validation rejection
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Minimum value greater than maximum value may return empty interval filter results
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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