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Tutoring Sessions String Normalisation and Duplicate Key Report
x402
Tutoring Sessions String Normalisation and Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs string normalisation and duplicate key detection 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 — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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 reports: (1) a string normalisation report showing how string fields were standardised across the supplied rows, and (2) a duplicate key report identifying any rows sharing the same key values. Both reports are generated from the supplied data using local analytical engines with no external lookups.
Example use cases
Cleaning tutoring data before import
“I have a batch of 150 tutoring session records from last semester with course groups and dates that may have inconsistent string formatting. Can you run a string normalisation and duplicate key report on them so I can clean things up before importing into our database?”
Auditing duplicate sessions in LMS export
“Our LMS export has 80 tutoring session rows with fields for row_id, course_group, date, session_minutes, and session_count — can you check this data for duplicate keys and normalise the strings so we can spot any repeated entries?”
Validating small tutoring dataset for reporting
“Here are 12 tutoring session records for group-a and group-b across October. Can you give me a duplicate key report and string normalisation report on them before I hand this off to the analytics team?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and duplicate key detection on tutoring session data in a single $0.01 call. Ideal for education analytics pipelines that need lightweight data-quality checks on small-to-medium batches (up to 200 rows) without requiring a full ETL tool or live data connection.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, course_group, date, session_minutes, session_count) cause row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed range trigger validation errors
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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