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Tutoring Sessions Record Quality Audit and Adjacent Row Changes
x402
Tutoring Sessions Record Quality Audit and Adjacent Row Changes 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).
Runs two local analytical reports on tutoring session data: a record quality audit and adjacent row changes for session_minutes or session_count fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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 independent analytical reports: (1) a record quality audit identifying issues such as missing values, out-of-range entries, or malformed records across the submitted tutoring session rows; and (2) an adjacent row changes report showing the delta in the selected field (session_minutes or session_count) between consecutive rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Spotting bad records in session logs
“I have a batch of tutoring session logs and I need to know which records have quality problems — things like missing values or suspicious entries — and I also want to see how session_minutes changed from one row to the next. Can you run both reports on these records?”
Tracking session count fluctuations over time
“Here are 50 rows of tutoring data with dates, course groups, and session counts. Can you check the records for quality issues and also show me the adjacent row differences in session_count so I can see where big jumps happened?”
Validating exported tutoring data before reporting
“Before I use this tutoring session export in our monthly report, can you run a quality audit on the records and flag any adjacent row changes in session_minutes that look unusual? I have about 150 rows with row IDs, dates, and course groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 tutoring session records and need both a data quality audit and a consecutive-row change analysis on session_minutes or session_count in a single low-cost call. It is ideal for pre-reporting validation, exploratory data cleaning, or monitoring data pipeline outputs for education session data — without needing any external data sources or live lookups.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, course_group) cause row-level errors
- Invalid date format (not YYYY-MM-DD) may cause parsing failures
- Numeric values outside the allowed range trigger validation errors
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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