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Training Assessments IQR Outlier Flags + Missing Value Fill
x402
Training Assessments IQR Outlier Flags + 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 2026-10-29).
Detects IQR-based outliers and fills missing values in training assessment score data (pre_score, post_score) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + 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
Returns two analytical reports: (1) IQR-based outlier flags per row indicating which pre_score or post_score values fall outside the interquartile range, and (2) a missing-value fill report showing which rows had nulls and what values were substituted using the chosen method (zero, mean, or median). No external data is fetched; all analysis uses the supplied rows only.
Example use cases
Pre-course score outlier audit
“I have 80 rows of training assessment data with pre_score and post_score values by course group and date — can you flag any IQR outliers in the pre_score column and also fill missing pre_scores using the mean?”
Post-training data cleaning before analysis
“Before I run my learning gain analysis, can you clean up my 120-row assessment dataset by flagging outlier post_scores using IQR and imputing any missing post_score values with median?”
Multi-group assessment quality check
“I've got assessment records for group-a and group-b across October 2026 — about 150 rows — can you run IQR outlier flags on pre_score and fill any nulls with zero so I can see which records need review?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-180?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical cleaning of training assessment records — specifically IQR outlier detection plus missing value imputation — without any external API calls, ML predictions, or professional scoring. Best suited for small-to-medium datasets (up to 200 rows) with pre/post score pairs grouped by course. Prefer this over general data pipelines when you want a dual-report output (outlier flags + fill report) in a single low-cost call ($0.01 USDC) for education or training analytics workflows.
Side effects
- Fewer than 1 row supplied — minimum item count not met
- More than 200 rows supplied — 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 method enum value (must be zero, mean, or median)
- Invalid field enum value (must be pre_score or post_score)
- Payment failure — 0.01 USDC x402 payment not completed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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