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Sampling Observations — Numeric Distribution + Secondary-Measure Weighted Mean
x402
Sampling Observations — Numeric Distribution + Secondary-Measure Weighted Mean 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 secondary-measure weighted mean for up to 200 supplied sampling observation records (sample_value, sample_weight).
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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
Two analytical reports for the supplied sampling observation rows: (1) a numeric distribution breakdown of the selected field (sample_value or sample_weight), and (2) a secondary-measure weighted mean where sample values are averaged weighted by the sample_weight field. Results are computed locally from supplied data only — no external lookup or live data.
Example use cases
Survey response weighted analysis
“I have survey response data with 50 rows — each has a date, a respondent ID, a numeric score as sample_value, and a respondent-population weight as sample_weight across two groups. Can you give me the numeric distribution and weighted mean for the sample_value field so I know how scores are spread and what the population-weighted average looks like?”
Product quality sampling audit
“I've collected 120 quality measurement samples from two production lines — each row has a date, row ID, the measured defect count as sample_value, and the batch size as sample_weight. Run both the numeric distribution and the secondary-measure weighted mean report on sample_value so I can see the spread and the batch-size-adjusted average defect rate.”
Clinical trial dosage distribution review
“We have 80 patient records from a clinical trial — each has a patient ID, trial date, dosage administered as sample_value, and body weight as sample_weight, split across two patient groups. Please compute the numeric distribution and the weight-adjusted mean for sample_value across all rows so we can understand dosage spread and the body-weight-corrected average.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-082?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of sampling observation data and need both a numeric distribution report and a secondary-measure weighted mean in a single cost-efficient call ($0.01 USDC for both reports). Ideal when sample_weight is a meaningful secondary dimension (e.g. population size, batch size, body weight) that should influence the mean. Prefer over general-purpose analytics tools when working with structured sampling datasets that already include explicit weight fields.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) causes rejection
- Values outside allowed numeric range (±1,000,000,000,000) fail schema validation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Empty rows array returns an error
- Null values in sample_value or sample_weight may affect distribution and weighted mean calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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