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Training Assessments — Numeric Interval Filter + Two-Measure Correlation
x402
Training Assessments — Numeric Interval Filter + Two-Measure Correlation 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).
Filters training assessment rows by a numeric score range and computes correlation between pre_score and post_score across up to 200 supplied records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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 filtered list of assessment rows where the selected field (pre_score or post_score) falls within the specified numeric minimum and maximum interval, and (2) a correlation analysis between pre_score and post_score across the supplied dataset. Results are computed locally on the supplied data with no external lookups.
Example use cases
Pre/Post Score Correlation for Training Cohort
“I've got assessment results for 120 trainees — each row has a course_group, date, pre_score, and post_score. Filter the rows where post_score is between 50 and 100, and compute the correlation between pre_score and post_score across the full dataset.”
Identifying Low-Baseline Learner Improvement
“Here are 80 rows of training assessment data. I want to filter for rows where pre_score is between 0 and 40 to find low-baseline learners, and then see how correlated their pre-scores are with their post-scores.”
Course Group Score Analysis by Date Range
“I have training data from Q4 for two course groups, with pre_score and post_score for each participant. Filter records where pre_score falls between 20 and 60, and generate the two-measure correlation report between pre_score and post_score.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-131?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 and need both a numeric interval filter on one score field and a correlation analysis between the two measures in a single $0.01 call. Ideal for lightweight, offline statistical analysis of training data without needing a full analytics platform or external data service.
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, course_group, date, pre_score, post_score) in any row causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Minimum value greater than maximum value may produce empty filter result
- All pre_score or post_score values are null — correlation cannot be computed
- Payment of 0.01 USDC not received — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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