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Assessment Item Observations — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Assessment Item Observations — Secondary-Measure Weighted Mean + Explicit 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 2026-10-23).
Computes a secondary-measure weighted mean and fills missing values in assessment item observation records (correct_responses, attempts) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Assessment item observations — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied assessment item observations records (correct_responses, attempts). 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 covering: (1) secondary-measure weighted mean of the selected field (correct_responses or attempts) and (2) explicit missing-value fill results using the chosen method (zero, mean, or median), applied to up to 200 supplied assessment item observation rows.
Example use cases
Quiz score weighted mean by course group
“I have student quiz records with correct_responses and attempts for group-a and group-b over the past week — can you compute the weighted mean of correct_responses and fill any missing values using median for up to 200 rows?”
Missing attempt count imputation for assessments
“My assessment dataset has some null values in the attempts column — can you fill those missing values using the mean method and then compute the secondary-measure weighted mean across all records?”
Education analytics report on assessment items
“Run an analytical report on my assessment item observations — I need the weighted mean for correct_responses with zero-fill for missing values, covering about 150 rows of student data grouped by course section.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-02-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular assessment item observation data (correct_responses and attempts) that needs both missing-value imputation and a weighted mean computation in a single call, without any external data lookup or prediction. Best suited for offline batch analysis of up to 200 rows of education/quiz data where you want two self-contained analytical reports at low cost.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, course_group, date, correct_responses, attempts) — row rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Empty rows array — minimum item count not met
- Invalid enum value for field or method — schema validation error
- Numeric values outside allowed range — rejected by schema constraints
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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