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Tutoring Sessions — Category Frequencies + Keyed Dataset Comparison
x402
Tutoring Sessions — Category Frequencies + Keyed Dataset Comparison 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).
Analyzes tutoring session records to produce category frequency distributions and a row-keyed comparison between two supplied datasets (up to 200 rows each, two reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison 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) a category frequency table showing how often each course_group appears in the submitted rows dataset, and (2) a keyed dataset comparison report that matches rows by row_id between the two supplied datasets and surfaces differences in session_minutes and session_count values.
Example use cases
Semester-over-semester session comparison
“I have this semester's tutoring session logs and last semester's logs, each with around 150 rows covering course_group, date, session_minutes, and session_count. Can you compare them row by row and also show me how often each course group appears this semester?”
Identifying course group engagement patterns
“Here are 120 tutoring session records from our platform with course_group, session_minutes, and session_count. Can you give me a frequency breakdown by course group and compare them against our target benchmark dataset?”
Curriculum pilot vs control group analysis
“We ran a tutoring pilot for group-a and kept group-b as control — I have two datasets of session records with dates, session_minutes, and session_count for each. Please produce category frequencies for the pilot dataset and a keyed comparison against the control group data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-111?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured tutoring session data (with session_minutes and session_count) and need both a category frequency breakdown and a row-keyed comparison between two datasets in a single call. It is ideal for education analytics workflows comparing cohorts, time periods, or pilot vs control groups without requiring any external data lookups or live predictions.
Side effects
- Missing required fields (row_id, course_group, date, session_minutes, session_count) causes validation error
- Submitting more than 200 rows in either dataset exceeds the row limit
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Empty rows array returns an error
- Mismatched row_ids between datasets may result in unmatched rows in the comparison report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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