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Soil Moisture Observations — Two-Measure Correlation + Missing-Value Fill
x402
Soil Moisture Observations — Two-Measure Correlation + Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Computes two-measure correlation between moisture_percent and depth_cm fields, and fills missing values using a chosen strategy, for up to 200 soil moisture observation rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Soil moisture observations — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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 analytical reports: (1) a two-measure correlation report quantifying the statistical relationship between moisture_percent and depth_cm, and (2) a missing-value fill report showing which rows had nulls and what values were imputed using the selected method (zero, mean, or median). Results cover up to 200 input rows.
Example use cases
Agricultural field sensor QA
“I've got 150 rows of daily soil moisture readings from two station groups with some missing moisture_percent values — can you fill those gaps using the median and also tell me how strongly moisture percent correlates with sensor depth?”
Hydrology research dataset cleaning
“I need to clean up my soil moisture dataset before analysis — please fill any missing depth_cm values with the mean and give me the two-measure correlation report for moisture_percent and depth_cm across my 80 observation rows.”
Irrigation monitoring correlation check
“Can you analyze these 60 soil sensor observations and compute the correlation between moisture percentage and depth, filling any missing moisture_percent values with zero so I have a complete dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-08-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular soil moisture observation data (moisture_percent and depth_cm) with up to 200 rows and need both a correlation analysis between those two measures AND missing-value imputation in a single $0.01 call. It runs entirely on local analytical engines with no external lookups, making it deterministic and privacy-safe for sensitive field data.
Side effects
- Fewer than 1 row provided — request rejected
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- row_id missing or empty — required field error
- Payment of 0.01 USDC not completed — 402 response
- field enum value not recognized — validation error
- Insufficient non-null values to compute correlation — degenerate result or error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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