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Soil Moisture Observations — String Normalisation + Duplicate Key Report
x402
Soil Moisture Observations — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs two offline analytical reports on supplied soil moisture observation records: string normalisation and duplicate key detection, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Soil moisture observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied soil moisture observations records (moisture_percent, depth_cm). 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
Two structured analytical reports returned together: (1) a string normalisation report highlighting inconsistent or non-standard string values in fields like station_group and date across the submitted rows, and (2) a duplicate key report identifying any rows sharing the same key combinations (e.g. row_id or station_group + date). No external data is fetched; all analysis is performed locally on the submitted records.
Example use cases
Pre-pipeline soil data audit
“Before I load these 150 soil moisture readings into my database, can you check them for duplicate row IDs and normalize any inconsistent station group name formats? The records have fields: row_id, station_group, date, moisture_percent, and depth_cm.”
Multi-station duplicate detection
“I've collected soil moisture observations from several field stations and I suspect some records got logged twice. Can you run a duplicate key report on these rows and also normalize the station group strings so I can trust the grouping?”
Data quality check before reporting
“I need to produce a clean soil moisture report for our agronomy team. Can you audit these sensor readings — up to 80 rows — for duplicate keys and normalize the string fields like station_group and date before I hand them off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-08-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline data quality analysis specifically on soil moisture observation records with moisture_percent and depth_cm fields, and you want both string normalisation and duplicate key detection in a single low-cost call. Ideal for pre-ingestion auditing, ETL validation pipelines, or preparing sensor data for downstream analysis without needing live lookups or predictions.
Side effects
- Submitting more than 200 rows returns an error or truncates input
- Missing required fields (row_id, station_group, date, moisture_percent, depth_cm) cause validation rejection
- Invalid date format (not YYYY-MM-DD) triggers schema error
- Empty rows array rejected (minItems: 1)
- Numeric fields outside supported range may cause processing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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