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Tutoring Sessions String Normalisation and Two-Measure Correlation
x402
Tutoring Sessions String Normalisation and 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 2026-11-02).
Normalises tutoring session records and computes Pearson/rank correlation between session_minutes and session_count for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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 analytical reports: (1) normalised string representations of the input tutoring session records and (2) a two-measure correlation analysis (e.g. Pearson or rank correlation) between session_minutes and session_count, computed locally without any external lookups or predictions, covering up to 200 input rows.
Example use cases
Course group engagement comparison
“I have 80 rows of tutoring session data across three course groups and I want to know whether session_minutes and session_count are correlated — can you normalise the records and give me the two correlation reports? Here are my rows: group-a students averaging 45 min over 3 sessions, group-b averaging 60 min over 5 sessions, etc.”
Weekly tutor performance audit
“Can you take these 120 weekly tutoring session records — each has a row_id, course_group, date, session_minutes and session_count — normalise the text fields, and compute the two-measure correlation between time spent per session and how many sessions happened?”
EdTech dataset quality check
“Before I publish our tutoring dataset, I need string normalisation applied to all 200 rows and a correlation report showing whether session_minutes and session_count move together — can you run both reports on my supplied data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular tutoring session data (up to 200 rows) and need both string normalisation and a correlation analysis between two numeric measures (session_minutes and session_count) in a single low-cost call. It is ideal for lightweight, self-contained analytical pipelines where no external data lookup, prediction, or live enrichment is required. Prefer it over general-purpose analytics platforms when cost predictability ($0.01 USDC flat) and simplicity matter, and when your data already contains the two target measures.
Side effects
- More than 200 rows submitted — request rejected with row limit error
- Missing required fields (row_id, date, session_minutes, session_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Insufficient variance in measures — correlation may be undefined or NaN
- Empty rows array — minItems:1 constraint violation
- Payment not provided or insufficient (requires 0.01 USDC via x402) — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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