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Tutoring Sessions Data Quality & Analytics — Record Audit, String Normalisation, Trailing Mean
x402
Tutoring Sessions Data Quality & Analytics — Record Audit, String Normalisation, Trailing Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs three local analytical reports on up to 200 tutoring session records: a record quality audit, string normalisation, and a trailing mean time-series for session_minutes or session_count.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series 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 issues such as nulls, out-of-range values, or malformed dates; (2) a string normalisation report for text fields like course_group; and (3) a trailing mean time series for the chosen numeric field (session_minutes or session_count) over the specified rolling window — all computed locally on the supplied data with no external lookups.
Example use cases
Weekly tutoring data health check
“I have a week of tutoring logs with session IDs, course groups, dates, session minutes and counts — can you run a full quality audit and string normalisation on them, plus give me a trailing mean of session_minutes with a window of 3?”
Rolling average trend for session counts
“I've got 50 rows of tutoring session records by date and course group. Can you compute the trailing mean of session_count using a window of 5, along with a quality audit and string normalisation report on the same data?”
Data cleaning before reporting
“Before I compile our monthly education report, can you check these tutoring session records for quality issues, normalise the course group strings, and calculate a 2-period rolling mean on session_minutes for all 120 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-199?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous analytical reports (quality audit, string normalisation, and rolling mean) on tutoring session tabular data in a single cheap call. Ideal for education data pipelines that need lightweight, local-only data validation and trend analysis without any external lookup, prediction, or professional assessment. Best for datasets up to 200 rows where cost efficiency ($0.01 for all three reports) matters.
Side effects
- Rows array empty or missing — validation error
- More than 200 rows submitted — rejected with limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null or out-of-range numeric values may be flagged in quality audit rather than causing hard failure
- Invalid field enum value (not session_minutes or session_count) — rejection
- Window integer outside 2–200 range — validation error
- Payment not attached or insufficient USDC — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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