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Tutoring Sessions — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Tutoring Sessions — Record Quality Audit + 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 2026-10-26).
Audits data quality and computes a weighted mean for tutoring session records (session_minutes or session_count) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Record quality audit + Secondary-measure weighted mean: Record quality audit + 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
Two independent reports: (1) a record quality audit identifying missing values, out-of-range data, or formatting issues per row, and (2) a secondary-measure weighted mean computed over the selected field (session_minutes or session_count) across all supplied rows — both derived locally from the submitted data with no external lookups.
Example use cases
Auditing tutoring data completeness
“I have a CSV of tutoring session logs for this semester with about 150 rows — can you check the data quality and flag any missing or invalid session_minutes values, and also give me a weighted mean for session_minutes?”
Comparing session counts across course groups
“I want to validate the session_count data for my two tutoring groups, group-a and group-b, across 50 records from Q3 — can you run the quality audit and compute the weighted mean for session_count?”
Pre-reporting data validation for education analytics
“Before I submit our monthly tutoring report, can you audit these 80 session records for data quality issues and calculate the weighted mean for session_minutes so I know the numbers are clean?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a weighted mean computation on tutoring session records in a single API call, without needing live data lookup or external prediction — ideal for pre-reporting validation or batch data hygiene checks on up to 200 education session rows.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, course_group) causes row-level rejection
- Invalid date format (non-YYYY-MM-DD) triggers a schema validation error
- Null values in both numeric fields may degrade weighted mean computation
- Submitting fewer than 1 row returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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