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Soil Moisture Observations — String Normalisation & Exact Row Deduplication
x402
Soil Moisture Observations — String Normalisation & Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Normalises strings and deduplicates exact rows in supplied soil moisture observation records (moisture_percent, depth_cm) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Soil moisture observations — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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 independent analytical reports covering: (1) string-normalised versions of the supplied soil moisture records and (2) exact duplicate row identification and removal results, both derived locally from the submitted rows without any external data lookup or prediction.
Example use cases
Agricultural sensor data cleanup
“I've got 120 soil moisture readings from our field stations — some station names have inconsistent capitalisation and I suspect there are duplicate entries. Can you normalise the strings and deduplicate exact rows across moisture_percent and depth_cm fields and give me the analysis reports?”
Pre-processing before irrigation modelling
“Before I feed this soil moisture dataset into our irrigation model, I need to clean it up — please normalise all the string fields and strip out any exact duplicate rows. The dataset has around 80 records with station_group, date, moisture_percent, and depth_cm columns.”
Multi-station data reconciliation
“We merged soil moisture data from two monitoring networks and now have duplicate rows and messy station group names. Can you run string normalisation and exact row deduplication on these 150 records so I get two clean analytical reports back?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-08-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, low-cost ($0.01 USDC) offline string normalisation and exact row deduplication specifically for soil moisture observation records (moisture_percent, depth_cm) without requiring any live data lookup, prediction, or external action. Ideal for data pipeline pre-processing steps where you want two structured analytical reports on batches of up to 200 rows.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, moisture_percent, depth_cm) causes rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Empty rows array (minItems:1 violated) returns error
- Null numeric values for moisture_percent or depth_cm may affect deduplication logic
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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