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Sampling Observations — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Sampling Observations — Record Quality Audit + 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 2026-10-24).
Runs two local analytical reports on user-supplied sampling observation rows: a data quality audit and a sample_weight-based weighted mean calculation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Record quality audit + Secondary-measure weighted mean: Record quality audit + 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
Returns two independent reports: (1) a record quality audit identifying issues like missing values, invalid types, or malformed dates across the supplied rows; and (2) a weighted mean calculation for the specified field (sample_value or sample_weight) using the provided sample_weight values. Both reports are computed locally with no external lookups.
Example use cases
Survey data quality check
“I have 50 survey sample records with sample values and weights — can you run a quality audit on them and also compute the weighted mean of the sample_value field?”
Weighted average for A/B test groups
“I've got two groups of experiment observations with sample values and weights — please compute the weighted mean using sample_weight and flag any quality issues in the data.”
Environmental sampling audit
“Here are 120 environmental sampling observation rows with dates, group labels, sample values, and weights — audit their data quality and give me the weighted mean of sample_value.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit AND a weighted mean computation on the same set of sampling observations in a single API call, without any external lookup or prediction. It is ideal for small-to-medium datasets (up to 200 rows) where you want two analytical reports for a low flat cost. Prefer alternatives if you need rolling means, category frequency analysis, or more than 200 rows.
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) in any row
- Date field not in YYYY-MM-DD format — rejected by pattern validation
- Non-numeric values in sample_value or sample_weight fields
- Empty rows array — minItems:1 not satisfied
- Values outside allowed range (±1,000,000,000,000)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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