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Training Assessments — Numeric Row Ordering + IQR Outlier Flags
x402
Training Assessments — Numeric Row Ordering + IQR Outlier Flags 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).
Sorts training assessment records by pre_score or post_score and flags statistical outliers using IQR analysis, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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) the supplied training assessment rows reordered numerically by the chosen field (pre_score or post_score), and (2) IQR-based outlier flags indicating which rows have values that fall outside the interquartile range boundaries — all computed locally with no external lookups.
Example use cases
Identify outlier learners in a cohort
“Here are 120 training assessment records with pre and post scores — can you sort them by pre_score and flag which learners have statistically unusual pre-test scores using IQR outlier detection?”
Post-training score ranking for reporting
“I need to rank all our Q3 training participants by their post_score and highlight any extreme outliers — I have 85 rows with row_id, course_group, date, pre_score, and post_score ready to submit.”
Detect data quality issues in assessment scores
“Some of our training assessment scores look suspicious — can you run IQR outlier flagging on the post_score field across these 40 rows so I can see which ones are anomalous before we publish the report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-119?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a ranked ordering of training assessment records and IQR-based outlier detection in a single call, with no need for live data lookups, predictions, or external integrations. It is best suited for education or training analytics workflows where you have up to 200 pre/post score rows and want lightweight, deterministic statistical summaries at minimal cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row submitted — minimum item count not met
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, course_group, date, pre_score, post_score) on any row
- Invalid date format — must match YYYY-MM-DD pattern
- Invalid field enum value — must be 'pre_score' or 'post_score'
- All score values are null — insufficient numeric data for IQR computation
- Payment not attached or insufficient — x402 payment of 0.01 USDC required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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