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Tutoring Sessions — Adjacent Row Changes + Two-Measure Correlation
x402
Tutoring Sessions — Adjacent Row Changes + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Computes adjacent row changes and two-measure correlation for tutoring session data (session_minutes, session_count) on up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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: (1) adjacent row changes showing how session_minutes or session_count values shift from one row to the next, and (2) a two-measure correlation report quantifying the relationship between session_minutes and session_count across the supplied rows (up to 200 rows total).
Example use cases
Tutoring program effectiveness tracking
“I have 120 rows of tutoring session data with dates, course groups, session minutes, and session counts — can you run adjacent row change analysis on session_minutes and also show me the correlation between session_minutes and session_count?”
Comparing two course groups over time
“I want to see how session_count changed from one row to the next across my two tutoring course groups, and also get a correlation report between session_minutes and session_count for the full dataset — here are 80 records with dates and course group labels.”
Weekly tutoring data quality check
“Run a row-change analysis and a two-measure correlation report on my tutoring session logs — I have 40 rows with session_minutes and session_count values and I want to spot any unusual jumps or strong relationships between the two metrics.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tutoring session tabular data and need both a sequential row-change analysis and a cross-measure correlation between session_minutes and session_count in a single call. It is ideal for education analytics workflows where you want to detect temporal shifts and metric relationships without external lookups or prediction services. Best suited for datasets up to 200 rows where offline, deterministic statistical computation is sufficient.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, course_group, session_minutes, session_count) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Null values in both measure fields — insufficient data for correlation computation
- Empty rows array — no data to analyze
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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