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Sampling Observations Numeric Distribution and Missing-Value Fill
x402
Sampling Observations Numeric Distribution and 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 2026-10-15).
Computes numeric distribution statistics and fills missing values (zero, mean, or median) for up to 200 weighted sampling observation rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied sampling observations records (sample_value, sample_weight). 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 numeric distribution summary (e.g. min, max, mean, median, std dev, percentiles) for the specified field across all supplied rows, and (2) a version of the dataset with missing values in the target field explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally with no external lookups.
Example use cases
Survey response distribution analysis
“I have 120 survey response rows each with a sample_value and sample_weight — can you compute the full numeric distribution of sample_value and fill any nulls using the mean?”
Sensor measurement gap filling
“My sensor dataset has 80 rows with some missing sample_weight readings — please fill those gaps with zero and give me the numeric distribution for sample_weight across all the rows.”
Weighted sample quality check
“I've got 200 rows of lab measurement samples grouped into group-a and group-b, and I need you to analyze the distribution of sample_value and impute any missing values using the median method.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-085?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of weighted sampling observations and need both a numeric distribution summary and explicit missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline statistical analysis of sample data without requiring external data sources, predictions, or professional assessments. Prefer alternatives if you need more than 200 rows, real-time data enrichment, or more complex statistical modeling.
Side effects
- Fewer than 1 or more than 200 rows provided — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- sample_value or sample_weight outside allowed range (-1e12 to 1e12) — validation error
- Unknown fill method specified (not zero, mean, or median) — validation error
- All values in target field are null — mean/median fill may be undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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