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Sampling Observations: Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Sampling Observations: Two-Measure Correlation + 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).
Computes Pearson correlation between two measures and the weighted mean of a secondary measure for up to 200 supplied sampling observation rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + 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 statistical reports: (1) the Pearson correlation coefficient between sample_value and sample_weight across the supplied rows, and (2) the weighted mean of the secondary measure (sample_weight) using the supplied weights, both computed locally without any external lookup or prediction.
Example use cases
Environmental sampling correlation study
“I have 50 soil sample observations each with a measured contaminant level (sample_value) and a collection volume weight (sample_weight) from various sites — can you compute the correlation between those two measures and the weighted mean of the contaminant levels for me?”
Survey response weighted analysis
“I've got 120 survey rows where sample_value is the respondent score and sample_weight reflects how representative each respondent is — please calculate the correlation between scores and weights, plus the weighted mean score across all respondents.”
QC batch measurement review
“Can you analyze my quality control batch data? I have up to 150 rows from groups A and B with measured values and sampling weights — I need the two-measure correlation and the weighted mean of the primary measurements to assess consistency.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a two-measure correlation and a weighted mean computed together in a single call on up to 200 rows of your own supplied data. It requires no external data sources, does no live lookup or prediction, and is well-suited for offline statistical summaries of sampling, survey, or measurement datasets where you already have the values and weights.
Side effects
- Fewer than 1 row supplied — minItems violation
- More than 200 rows supplied — maxItems violation
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) in any row
- Date field not matching YYYY-MM-DD pattern
- All sample_value or sample_weight entries are null — correlation undefined
- Insufficient variance in data — correlation computation returns NaN or undefined result
- Payment not completed — x402 payment required before response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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