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Tutoring Sessions Adjacent Row Changes and Base-100 Series
x402
Tutoring Sessions Adjacent Row Changes and Base-100 Series 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-over-row changes and base-100 index series for tutoring session metrics (session_minutes or session_count) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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: (1) adjacent row changes showing the difference in the selected metric (session_minutes or session_count) between each consecutive row, and (2) a base-100 index series expressing each row's value relative to the designated base row, all computed locally from the supplied data without external lookups.
Example use cases
Track weekly tutoring session growth
“I've got 80 rows of tutoring session data across two course groups with dates and session_minutes — can you compute the row-over-row changes and a base-100 index starting from row 0 so I can see how engagement has grown over time?”
Compare session counts across courses
“I have tutoring records for 'Math Basics' and 'English Advanced' with session_count logged by date — run the adjacent row changes and base-100 series on session_count using row 0 as the baseline so I can compare how each group's volume shifted.”
Index tutoring hours to a mid-year baseline
“I want to see my tutoring session_minutes indexed to row 10 as the base-100 reference point — can you run both the adjacent changes and base-100 reports on my 120-row dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-155?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular tutoring session data and need both row-over-row change analysis and a base-100 normalization in a single low-cost call. It is ideal for education analytics workflows where you supply your own data and need fast, offline computation without live lookups or external integrations. Prefer it over general-purpose analytics tools when your dataset is under 200 rows and you specifically need these two report types together.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (must be YYYY-MM-DD) — validation error
- base_index out of range (must be 0–199 and within row count) — error
- Null values in session_minutes or session_count may produce null differences
- Missing required fields (row_id, date) cause row-level errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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