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Tutoring Sessions Data Quality & Analytics — Record Audit, String Normalisation, Two-Measure Correlation
x402
Tutoring Sessions Data Quality & Analytics — Record Audit, String Normalisation, Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs three local analytical reports on tutoring session records: a record quality audit, string normalisation, and a two-measure correlation between session_minutes and session_count.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied tutoring sessions records (session_minutes, session_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three analytical reports covering: (1) a record quality audit flagging missing, null, or out-of-range values across the submitted rows; (2) normalised string output for course_group and other string fields; and (3) a two-measure correlation result between session_minutes and session_count. All analysis is performed locally on the submitted data with no external lookups.
Example use cases
Auditing tutoring data before reporting
“I need to check the quality of our tutoring session data before I send it to the director — can you run a record quality audit on these 120 rows that have session_minutes, session_count, course_group, and date fields?”
Cleaning messy course group labels
“Our tutoring records have inconsistent course group names like 'Group A', 'group-a', and 'GROUP A' — can you normalise those strings across these 80 session rows so we get consistent labels?”
Checking if session length predicts session frequency
“I want to know if session_minutes and session_count are correlated in our tutoring data — can you run a two-measure correlation on these 150 rows and tell me the result?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quick, self-contained analytical reports on tutoring session data (up to 200 rows) without external dependencies. It bundles three reports — quality audit, string normalisation, and correlation — in a single low-cost call ($0.01 USDC), making it ideal for education data pipelines needing lightweight data cleaning and validation before downstream processing or reporting.
Side effects
- More than 200 rows submitted — exceeds the max row limit
- Missing required fields (row_id, course_group, date, session_minutes, session_count) causing schema validation failure
- Invalid date format (must be YYYY-MM-DD) causing rejection
- Payment not included or insufficient USDC balance (0.01 USDC required)
- Empty rows array (minimum 1 row required)
- Numeric values outside allowed range (-1T to 1T)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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