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Tutoring Sessions IQR Outlier Flags + Date by Category Pivot
x402
Tutoring Sessions IQR Outlier Flags + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs two local analytical reports on tutoring session data: IQR-based outlier detection and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied tutoring sessions records (session_minutes, session_count). 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) IQR outlier flags indicating which rows have session_minutes or session_count values that fall outside the interquartile range, and (2) a date-by-category pivot table summarizing the selected field across course groups and dates. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Flagging abnormal tutoring session lengths
“I have 150 tutoring session records across several course groups and I want to know which sessions have unusually high or low session_minutes — can you run IQR outlier detection and also give me a pivot of session minutes by date and course group?”
Course group attendance trend pivot
“Can you take my tutoring data for groups 'algebra', 'reading', and 'science' from October through December 2025 and give me a date-by-category pivot on session_count, plus flag any outlier counts using IQR?”
Quality check before reporting to school board
“Before I finalize my tutoring report, can you run outlier flags and a date-category pivot on session_minutes for all 80 session records I've collected this semester so I can spot any data entry errors?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-178?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both outlier detection (IQR-based) and a date-by-category pivot on tutoring session data in a single low-cost call. It is ideal for education analytics workflows where you have up to 200 rows of session records with course group and date dimensions and want to detect anomalies and summarize trends simultaneously without setting up your own analytical pipeline.
Side effects
- Fewer than 1 row supplied returns an error
- More than 200 rows supplied exceeds the row limit
- Missing required fields (row_id, course_group, date, session_minutes, session_count) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error
- IQR computation may be unreliable with very few rows (fewer than 4-5 data points)
- Null values in the selected numeric field may affect outlier detection accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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