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Tutoring Sessions — Exact Row Deduplication + Adjacent Row Changes
x402
Tutoring Sessions — Exact Row Deduplication + 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 2026-10-31).
Deduplicates exact rows and detects adjacent row changes in tutoring session records (session_minutes or session_count) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Exact row deduplication + Adjacent row changes: Exact row deduplication + 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 analytical reports: (1) an exact row deduplication report identifying which rows among the submitted tutoring session records are exact duplicates, and (2) an adjacent row changes report showing where consecutive rows differ in the specified metric field (session_minutes or session_count). Both reports are generated from the supplied data only, with no external lookups.
Example use cases
Clean duplicate tutoring logs
“I have a CSV of tutoring session records with row_id, course_group, date, session_minutes, and session_count — some rows look like exact duplicates. Can you deduplicate them and also flag where adjacent rows changed in session_minutes?”
Detect consecutive session count shifts
“Run a deduplication check and adjacent row change report on my tutoring data using the session_count field — I want to see which consecutive entries have different values across my course groups.”
Audit education session dataset quality
“Here are my tutoring session records for October 2026 across group-a and group-b. Can you deduplicate exact rows and show me where session_minutes changes between neighboring rows in the dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-046?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 tutoring session records and need both exact duplicate identification and adjacent-row change detection in a single low-cost call ($0.01 USDC). It is ideal for education data quality workflows where session logs may contain repeated entries or you need to spot consecutive changes in session metrics by course group and date. It operates entirely on supplied data with no external calls, making it suitable for private or offline datasets.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, course_group, date) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- Empty rows array (minItems: 1 not met) — validation error
- Invalid field enum value (must be session_minutes or session_count) — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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