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Sampling Observations — Secondary-Measure Weighted Mean + Date-by-Category Pivot
x402
Sampling Observations — Secondary-Measure Weighted Mean + Date-by-Category Pivot 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 a secondary-measure weighted mean and a date-by-category pivot table from supplied sampling observation records in a single paid call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot 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 secondary-measure weighted mean computed from the sample_value and sample_weight fields across the supplied rows, and (2) a date-by-category pivot table cross-tabulating the selected field by date and dataset_group. Both reports cover up to 200 input rows and are computed locally without external lookups.
Example use cases
Survey response weighted summary
“I have 150 survey response records with dates, group labels, response scores as sample_value, and respondent counts as sample_weight — can you calculate the weighted mean of the response scores and pivot the results by date and group?”
A/B test sample aggregation
“I'm running an A/B test with two groups. I have up to 180 rows with dates, group-a and group-b labels, measurement values, and sample sizes as weights. Please give me both the weighted mean for sample_value and a date-by-category breakdown.”
Environmental sensor data pivot
“I've got daily sensor readings across multiple station groups — each row has a date, station group, a measured value as sample_value, and a confidence weight as sample_weight. Can you compute the weighted mean and pivot the data by date and station group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-185?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a weighted mean and a date-by-category pivot in one call for up to 200 sampling observation records. It is ideal for offline/supplied-data analytics where no external lookup or prediction is needed, and cost efficiency matters (two reports per $0.01). Prefer alternatives if you need more than 200 rows, real-time data fetching, or different statistical operations such as correlation or histogram bucketing.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- All sample_weight values are null or zero — weighted mean may be undefined or return error
- field enum value outside ['sample_value','sample_weight'] causes schema rejection
- Payment of 0.01 USDC not provided or rejected — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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