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Tutoring Sessions Numeric Distribution and Missing Value Fill
x402
Tutoring Sessions Numeric Distribution and Missing Value Fill 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).
Computes numeric distribution statistics and fills missing values (zero/mean/median) for tutoring session records (session_minutes, session_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill 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) a numeric distribution summary (e.g. min, max, mean, median, percentiles, histogram bins) for the specified field (session_minutes or session_count), and (2) a missing-value fill report showing each row's original and imputed value using the chosen method (zero, mean, or median). Up to 200 input rows are supported per call.
Example use cases
Distribution analysis for online tutoring platform
“I have tutoring session data for two course groups across October — can you give me a numeric distribution report for session_minutes and also fill in the missing session_minutes values using the median? Here are my rows: row-1 group-a 2024-10-01 30min 2 sessions, row-2 group-b 2024-10-02 null 4 sessions, row-3 group-a 2024-10-03 45min 3 sessions.”
Missing session count imputation for school report
“Some of my tutoring records are missing session_count values — can you fill those nulls using mean imputation and also show me the distribution of session_count across all rows? I'll provide up to 50 rows of data.”
Zero-fill gaps in session minutes dataset
“I need to zero-fill all the missing session_minutes entries in my tutoring dataset and get a distribution summary at the same time — the data has about 80 rows across several course groups spanning the last quarter.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-085?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 tutoring session records with numeric fields (session_minutes or session_count) and need both a distribution analysis and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for offline/batch educational data quality workflows where no live data lookup or prediction is required, and when you want two bundled analytical reports from local computation only.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, course_group) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Unsupported fill method enum value returns error
- Numeric values outside allowed range rejected
- Empty rows array returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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