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Tutoring Sessions Record Quality Audit and Numeric Interval Filter
x402
Tutoring Sessions Record Quality Audit and Numeric Interval Filter 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 filters rows by numeric interval for tutoring session records containing session_minutes and session_count fields, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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 analytical reports: (1) a record quality audit identifying missing values, format issues, or anomalies in the supplied tutoring session rows; and (2) a numeric interval filter report listing which rows fall within or outside the specified minimum-maximum range for the chosen field (session_minutes or session_count). Results are derived entirely from the supplied data with no external lookups.
Example use cases
Validate uploaded tutoring session CSV
“I just uploaded a batch of tutoring session records — can you run a quality audit on them and filter out any rows where session_minutes is outside the range 0 to 60? Here are the rows: row-1, group-a, 2026-10-01, 45 minutes, 2 sessions; row-2, group-b, 2026-10-02, 120 minutes, 1 session; row-3, group-a, 2026-10-03, 30 minutes, 3 sessions.”
Flag abnormal session counts for review
“Check these tutoring records for data quality issues and also flag any rows where session_count falls outside 1 to 10: row-1 group-math 2026-09-01 count 5 minutes 50, row-2 group-science 2026-09-02 count 0 minutes 0, row-3 group-math 2026-09-03 count 15 minutes 75, row-4 group-english 2026-09-04 count 3 minutes 40.”
Pre-reporting data hygiene check
“Before I generate my monthly education report, can you audit the quality of these 5 tutoring session rows and filter session_minutes to only those between 10 and 90? Rows: row-1 group-a 2026-11-01 20min 1session, row-2 group-b 2026-11-02 5min 2sessions, row-3 group-c 2026-11-03 60min 1session, row-4 group-a 2026-11-04 95min 3sessions, row-5 group-b 2026-11-05 45min 2sessions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-008?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a numeric range filter on tutoring session records (session_minutes or session_count) in a single low-cost call. It is ideal for pre-processing education datasets before reporting, detecting anomalies or missing values in session logs, and filtering records to a valid operational range — all without sending data to an external AI model or live lookup service. Best suited for batches up to 200 rows where offline analytical processing is sufficient.
Side effects
- Empty rows array or missing required fields (row_id, date, course_group) causes validation error
- More than 200 rows submitted exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Minimum value greater than maximum value may produce empty filter results
- Numeric values outside allowed bounds (-1e12 to 1e12) are rejected by schema
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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