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Tutoring Sessions Data Quality Audit, Deduplication & Histogram
x402
Tutoring Sessions Data Quality Audit, Deduplication & Histogram 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 three analytical reports on tutoring session records: a record quality audit, exact row deduplication, and an equal-width histogram for session_minutes or session_count.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram 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
Returns three independent reports: (1) a record quality audit flagging missing, null, or malformed values per row; (2) an exact row deduplication report identifying and removing fully duplicate records; and (3) an equal-width histogram with configurable bin count showing the frequency distribution of the selected numeric field (session_minutes or session_count) across up to 200 rows.
Example use cases
Session data cleanup before reporting
“I have a CSV of tutoring session records with columns row_id, course_group, date, session_minutes, and session_count — can you run a quality audit, strip out exact duplicate rows, and give me a 5-bin histogram of session_minutes so I can clean up the data before our monthly report?”
Distribution analysis of session counts
“I need to understand the distribution of session_count across my tutoring dataset. Can you run the deduplication, quality audit, and a 8-bin histogram on session_count for these 150 rows I'm uploading?”
Validate tutoring records for a course group
“Before I hand off this tutoring data to the analytics team, can you check it for quality issues, flag any duplicate rows, and produce a 10-bin equal-width histogram on session_minutes for the group-a records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously assess data quality, remove duplicate records, and understand numeric distributions in tutoring session datasets — all in a single low-cost call. Ideal for education analytics pipelines preparing data for downstream reporting, when you have up to 200 rows and want three analytical perspectives without making separate API calls or using external compute.
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, date, course_group) causing validation failure
- Invalid date format (not YYYY-MM-DD) causing parse error
- bins parameter out of range (must be 1–30)
- All rows are duplicates, resulting in empty deduplication output
- Numeric values outside allowed range causing rejection
- Empty rows array submitted
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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