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Tutoring Sessions — Adjacent Row Changes + IQR Outlier Flags
x402
Tutoring Sessions — Adjacent Row Changes + 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).
Computes adjacent row-to-row changes and IQR-based outlier flags for tutoring session data (session_minutes or session_count) across up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags 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 analytical reports per call: (1) adjacent row change values showing delta between consecutive records for the selected field, and (2) IQR-based outlier flags marking records that fall outside the interquartile range — both applied to the supplied tutoring session rows (session_minutes or session_count) across up to 200 input records.
Example use cases
Detecting unusual session duration spikes
“I have 120 rows of daily tutoring data with session_minutes and session_count. Can you run adjacent row change analysis and IQR outlier flagging on session_minutes so I can see which days had abnormal spikes?”
Quality audit of course group records
“I need to audit my tutoring session logs for a couple of course groups — can you compute row-to-row changes and flag IQR outliers for the session_count field across these 80 records so I can spot data entry errors?”
Monitoring tutoring engagement over time
“Here are 150 tutoring session records by date and course group. Can you run both the adjacent row changes and IQR outlier detection reports on session_minutes so I can monitor where engagement dropped or spiked unexpectedly?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-157?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical analysis of tutoring session records — specifically adjacent row delta detection and IQR outlier flagging — without any external data lookup, live prediction, or model inference. Ideal for education data auditing, anomaly detection in session logs, or data quality checks on up to 200 rows of session_minutes or session_count data at minimal cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, date, course_group, session_minutes, session_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Null numeric values may affect delta calculations and outlier boundaries
- Invalid field enum value (not 'session_minutes' or 'session_count') causes schema rejection
- Empty rows array (minItems:1 not met) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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