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Training Assessments — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Training Assessments — 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 2026-10-26).
Computes a secondary-measure weighted mean and fills missing values for training assessment records (pre_score, post_score) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied training assessments records (pre_score, post_score). 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 independent analytical reports covering: (1) secondary-measure weighted mean of the selected field (pre_score or post_score) across up to 200 supplied rows, and (2) explicit missing-value fill results using the chosen strategy (zero, mean, or median), all computed locally without external lookup or live data.
Example use cases
Course group performance comparison
“I've got 120 training records across three course groups with pre_score and post_score — several post_scores are null. Run the weighted mean analysis on post_score using mean to fill the missing values, and give me the two summary reports.”
Pre-training baseline aggregation
“I need to analyze the pre_score baseline across my 80 learner records — there are some nulls. Compute the secondary-measure weighted mean for pre_score and fill any missing entries with zero so I can see the weighted aggregate.”
Missing-value audit before L&D reporting
“Before I submit my L&D report, can you take these 40 assessment rows and run the weighted mean calculation on post_score with median imputation for missing values, returning both analytical outputs?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 training assessment records with pre_score and post_score fields, need a weighted mean computed on one of those measures, and want missing values explicitly imputed before aggregation — all in a single low-cost call that returns two analytical reports. Prefer this over generic statistics APIs when your data fits the education/training assessment schema and you need both imputation and weighted aggregation in one pass.
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, course_group, date, pre_score, post_score) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid field enum value — only 'pre_score' or 'post_score' accepted
- Invalid method enum — only 'zero', 'mean', or 'median' accepted
- All values null for the selected field — weighted mean may be undefined or zero
- Payment not included or insufficient — x402 payment required (0.01 USDC)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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