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Tutoring Sessions — Adjacent Row Changes + Date by Category Pivot
x402
Tutoring Sessions — Adjacent Row Changes + 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 2026-11-02).
Runs two local analytical reports on tutoring session data: adjacent row-to-row change 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 — Adjacent row changes + Date by category pivot: Adjacent row changes + 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
Two analytical reports computed locally: (1) an adjacent row changes report showing sequential differences in the chosen metric (session_minutes or session_count) across rows; and (2) a date-by-category pivot table cross-tabulating the metric values by date and course_group. Results cover up to 200 input rows with no external lookups.
Example use cases
Track weekly session engagement trends
“I have 150 rows of tutoring session logs with dates, course groups, and session_minutes — can you show me how session minutes change row by row and also pivot the totals by date and course group?”
Audit session count shifts by course
“Can you analyze my tutoring data for row-to-row changes in session_count and generate a pivot of session counts broken out by date and course_group? I have about 80 records.”
Compare two tutoring cohorts over time
“I've got tutoring session records for group-a and group-b across October — please run the adjacent row changes and date-by-category pivot on session_minutes so I can see how each cohort's engagement evolved.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected tutoring session records (up to 200 rows) and need both sequential row-change analysis and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analysis of existing data with no need for live lookups, predictions, or external enrichment. Prefer alternatives if you need more than 200 rows, real-time data, or different analytical operations (e.g. deduplication, distribution, or trailing means).
Side effects
- Fewer than 1 row submitted — minItems violation returns validation error
- More than 200 rows submitted — maxItems exceeded returns rejection
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Missing required fields (row_id, course_group, date, session_minutes, session_count) — schema error
- Numeric values outside allowed range (±1,000,000,000,000) — validation rejection
- Invalid field enum value (not session_minutes or session_count) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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