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Soil Moisture Observations — String Normalisation + Keyed Dataset Comparison
x402
Soil Moisture Observations — String Normalisation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Normalises strings and performs keyed dataset comparison across two sets of soil moisture observation records (moisture_percent, depth_cm), producing two analytical reports for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Soil moisture observations — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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
Returns two independent analytical reports: one covering string normalisation applied to the supplied soil moisture observation records (station_group and other text fields), and one keyed dataset comparison highlighting differences between the 'rows' and 'other' datasets matched on row_id, surfacing discrepancies in moisture_percent and depth_cm values.
Example use cases
Cross-season soil moisture audit
“I have soil moisture readings from spring and autumn for the same stations — can you normalize the station group names and do a keyed comparison of the two datasets to see where moisture_percent or depth_cm values differ row by row?”
Duplicate sensor data reconciliation
“We have two exports of soil sensor data from different systems with up to 150 rows each; please normalize the text fields and compare them by row_id to find any discrepancies in moisture_percent or depth_cm.”
Multi-group soil monitoring QA
“I've got two batches of soil moisture observations from group-a and group-b stations, both under 200 rows, and I need a string normalization pass plus a keyed dataset comparison to identify any mismatches between the two batches.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-08-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need local, offline-style string normalisation and keyed comparison analytics on two sets of soil moisture tabular records without any live data lookup, prediction, or external enrichment. It is well-suited for data quality audits, reconciliation of dual-source sensor exports, or cross-period comparisons of moisture and depth readings at a very low flat cost ($0.01 USDC for two reports).
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, moisture_percent, depth_cm) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Empty rows array (minItems:1 not met) — validation error
- Mismatched row_ids between datasets result in unmatched rows flagged in comparison output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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