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Training Assessments — Keyed Dataset Comparison + Explicit Missing-Value Fill
x402
Training Assessments — Keyed Dataset Comparison + 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).
Compares two keyed datasets of training assessment scores (pre_score/post_score) and fills missing values, producing 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + 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 analytical reports: (1) a keyed dataset comparison showing matched, unmatched, and differing rows between the primary and comparison datasets for the selected score field; (2) an explicit missing-value fill report showing which null pre_score or post_score values were detected and filled. Results are based entirely on the supplied data with no external lookups.
Example use cases
Pre/post score reconciliation across cohorts
“I have two exports of our corporate training assessment data — the original batch and a revised one — both with row IDs, course groups, dates, and pre_score and post_score values. Can you compare them by row_id using the pre_score field, fill any missing scores, and give me the two comparison reports?”
Missing value audit for training scores
“Our learning platform exported 120 rows of assessment records with some null post_score values. I also have a second dataset from a backup. Can you match them by row_id, fill the missing post_score entries where possible, and report on what was filled and what differs between the two?”
Course group score drift detection
“We ran the same training course for group-a and group-b and captured scores at two points in time. Here are both datasets with up to 80 rows each, keyed by row_id with pre_score and post_score. Can you compare them and flag any score differences, filling nulls along the way?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-190?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compare two keyed training assessment datasets by row_id and simultaneously handle missing pre_score or post_score values — all in a single $0.01 call that returns two reports. Ideal for education analytics workflows that need lightweight, offline data reconciliation without external API dependencies or live predictions.
Side effects
- Missing required fields (row_id, course_group, date, pre_score, or post_score) causes validation error
- More than 200 rows submitted exceeds limit and is rejected
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Field enum value other than 'pre_score' or 'post_score' is rejected
- Empty rows array returns error
- Both datasets must be supplied; missing 'other' dataset causes comparison failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| method | string |
Tags
x402
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