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Tutoring Sessions – Secondary-Measure Weighted Mean & Keyed Dataset Comparison
x402
Tutoring Sessions – Secondary-Measure Weighted Mean & 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 2026-10-30).
Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 tutoring session records (session_minutes, session_count), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + 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 reports: (1) a secondary-measure weighted mean computed over the chosen field (session_minutes or session_count) using the other measure as the weight, and (2) a keyed dataset comparison that matches rows between the primary and secondary dataset by row_id and highlights differences in the target field. No external lookups or predictions are made — all computation is local.
Example use cases
Weekly tutoring load comparison across groups
“I've got tutoring session logs for two weeks — same course groups, same row IDs — and I want to see how session_minutes differ between week 1 and week 2 row-by-row, plus get the weighted mean of session_minutes using session_count as the weight. Can you run both reports?”
Identifying high-engagement course groups
“Here are 80 rows of tutoring data across several course groups with session_minutes and session_count. Compute the weighted mean of session_minutes weighted by session_count so I can see which groups have the most intensive sessions per occurrence.”
Before-and-after intervention session audit
“I want to compare tutoring sessions before and after a curriculum change — I have two datasets of about 50 rows each with matching row IDs. Run a keyed comparison on session_count between the two and also give me the weighted mean for session_count across the baseline dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous statistical reports on tutoring session data — specifically a weighted mean and a keyed row-level comparison — without any external API calls, predictions, or live data. It is ideal for education analysts comparing cohorts or time periods with up to 200 records at very low cost ($0.01 USDC for both reports).
Side effects
- Rows array is empty or exceeds 200 items — validation error
- row_id values are not unique, causing mismatched keyed comparison
- date field does not match YYYY-MM-DD pattern — schema rejection
- Null values in session_minutes or session_count may affect weighted mean calculation
- Mismatched row_ids between primary and comparison dataset result in unmatched or missing comparison entries
- field enum value not provided or invalid — defaults to session_minutes
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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