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Tutoring Sessions — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Tutoring Sessions — Adjacent Row Changes + Secondary-Measure Weighted Mean 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).
Computes adjacent row changes and a secondary-measure weighted mean for tutoring session records (session_minutes, session_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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 reports for the supplied tutoring session rows: (1) adjacent row changes showing the delta in the selected measure (session_minutes or session_count) between consecutive rows, and (2) a secondary-measure weighted mean where the selected field is averaged using the other measure as the weight. Results cover up to 200 input rows and are derived entirely from the supplied data with no external lookups.
Example use cases
Track daily tutoring engagement shifts
“I have a week of tutoring data for two course groups and I want to see how session_minutes changed from one day to the next, plus the session-count-weighted mean across all rows — here are my 7 rows with dates from 2026-11-01 to 2026-11-07 for groups alpha and beta.”
Compare session intensity across course groups
“Can you run the adjacent row changes and weighted mean analysis on these 20 tutoring session records grouped by math-101 and science-202? I want to use session_minutes as the primary field, weighted by session_count.”
Monthly tutoring analytics for reporting
“I need to produce two analytics reports on this month's tutoring data — row-by-row session minute deltas and a session-count-weighted average — for 50 rows across our five course groups. Can you process all of them at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tutoring session tabular data and need both a row-by-row delta analysis and a weighted mean computed locally without any external data fetch, prediction, or live lookup. It is ideal for education analytics workflows where you supply up to 200 rows and need two statistical reports in a single $0.01 call. Prefer it over general-purpose analytics tools when your data is specifically session_minutes and session_count keyed by course_group and date.
Side effects
- Rows array is empty or missing — validation error
- More than 200 rows supplied — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in session_minutes or session_count may affect weighted mean calculation
- Invalid enum value for 'field' parameter — rejected by schema
- Missing required fields (row_id, date, course_group) on any row — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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