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Training Assessments — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Training Assessments — Adjacent Row Changes + Secondary-Measure Weighted Mean 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 adjacent row changes and a secondary-measure weighted mean for training assessment records (pre_score, post_score) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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 analytical reports: (1) adjacent row changes showing score deltas between consecutive rows for the selected field, and (2) a secondary-measure weighted mean summarizing the selected score field weighted by the other measure — all computed locally without external lookups.
Example use cases
Score progression tracking for a training cohort
“I have a list of 8 training sessions for two course groups — each with a date, pre-score, and post-score. Can you compute how each score changed from one session to the next (adjacent row changes) and also give me the weighted mean of the pre_score across all rows?”
Weighted outcome summary for L&D reporting
“For our learning and development report, I need the secondary-measure weighted mean of post_score for these 12 training assessment records across three course groups. Also include the adjacent row changes so we can see score trajectory.”
Identifying score volatility between sessions
“Can you run the adjacent row changes report on these 20 training records so I can spot where pre_score jumped or dropped the most between consecutive sessions? Also give me the weighted mean using post_score as the field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific statistical computations — adjacent row changes and a secondary-measure weighted mean — applied to training assessment data (pre_score/post_score) in a single cost-effective call. It is ideal for batch analytics on up to 200 rows without needing live data lookups, external predictions, or professional assessment services. Prefer it over general-purpose analytics tools when you want a fixed-price, self-contained computation on local training records.
Side effects
- Empty or missing rows array returns a validation error
- More than 200 rows submitted exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- pre_score or post_score values outside the allowed numeric range cause rejection
- Missing required fields (row_id, course_group, date, pre_score, post_score) on any row cause an error
- Invalid field enum value (anything other than 'pre_score' or 'post_score') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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