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Training Assessments — Exact Row Deduplication + IQR Outlier Flags
x402
Training Assessments — Exact Row Deduplication + 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).
Deduplicates exact rows and flags IQR-based outliers in training assessment records containing pre_score and post_score fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — Exact row deduplication + IQR outlier flags: Exact row deduplication + 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) an exact row deduplication report identifying and removing fully duplicate records from the submitted training assessment rows, and (2) an IQR outlier flag report marking records whose specified score field (pre_score or post_score) falls outside the interquartile range bounds as statistical outliers. Both reports are computed locally with no external lookups.
Example use cases
Corporate training data quality audit
“I have 120 rows of employee training assessment records with pre and post scores across multiple course groups. Can you deduplicate exact duplicate rows and flag any IQR outliers in the post_score field so I can clean up the dataset before reporting?”
E-learning platform score anomaly detection
“We've collected pre_score and post_score data from 80 student assessments across several course groups and dates. Please run exact deduplication and IQR outlier detection on the pre_score field and give me both reports so I can spot any suspicious entries.”
Academic research dataset cleaning
“I'm preparing a training assessment dataset of 150 rows for analysis — can you remove any exactly duplicated rows and identify IQR-based outliers in the pre_score column? I need the deduplication report and the outlier flags before I proceed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-049?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate removal and IQR-based outlier detection specifically for training assessment data (pre_score/post_score) in a single low-cost call. It is ideal for small-to-medium datasets up to 200 rows that require two simultaneous data quality reports without external dependencies, live predictions, or professional assessment. Prefer it over general-purpose analytics when the domain is specifically learning/training assessments and the combined deduplication+outlier bundle is sufficient.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, course_group, date, pre_score, post_score) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Providing an invalid field enum value (not pre_score or post_score) results in an error
- Empty rows array fails minItems validation
- All-null score values may produce degenerate IQR results with no meaningful outlier flags
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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