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Training Assessments — Two-Measure Correlation + Keyed Dataset Comparison
x402
Training Assessments — Two-Measure Correlation + Keyed Dataset Comparison 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 two-measure correlation between pre_score and post_score fields and performs a keyed dataset comparison across two supplied training assessment datasets (up to 200 rows each).
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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
Returns two independent analytical reports: (1) a two-measure correlation report quantifying the statistical relationship between pre_score and post_score across the supplied rows, and (2) a keyed dataset comparison report identifying differences between the primary (rows) and secondary (other) datasets matched by row_id. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Pre/post training effectiveness correlation
“I have pre-test and post-test scores for about 150 trainees across two course groups, group-a and group-b, collected between 2026-09-01 and 2026-11-30. Can you calculate the correlation between their pre_score and post_score to see if the training is making a difference?”
Cohort-to-cohort assessment comparison
“I want to compare my Q1 training cohort assessment results against my Q2 cohort results — both datasets have the same row IDs and course groups. Can you do a keyed comparison to flag where scores differ significantly between the two groups?”
Course group score analysis for L&D report
“I'm preparing a learning and development report and need two analyses on our training data: a correlation between entry and exit scores, and a keyed comparison between our pilot group results and our main rollout group results. Can you run both on my 180-row dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a two-measure correlation analysis AND a keyed dataset comparison on training assessment data (pre_score/post_score) in a single $0.01 call. It is ideal for education and L&D analytics workflows where you have two comparable datasets (e.g., two cohorts, two time periods) keyed by row_id and want to understand score relationships and cross-dataset differences simultaneously without external API calls or predictions.
Side effects
- Input array exceeds 200 rows — validation error returned
- Missing required fields (row_id, course_group, date, pre_score, post_score) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Insufficient data points for meaningful correlation — may return null or degenerate statistics
- Empty rows array (minItems:1 violated) — validation error
- Mismatched row_ids between primary and secondary datasets — keyed comparison may return empty diff
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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