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Tutoring Sessions — Numeric Interval Filter + Trailing Mean Series
x402
Tutoring Sessions — Numeric Interval Filter + Trailing Mean Series 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).
Filters tutoring session records by a numeric interval and computes a trailing mean series for session_minutes or session_count fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series 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 interval-filtered subset of the supplied tutoring session rows matching the min/max bounds on the chosen field, and (2) a trailing mean series computed over the chosen field using the specified window size — both derived from the supplied data without any external lookup.
Example use cases
Rolling average of session minutes by course group
“I have 120 rows of tutoring session data with dates, course groups, and session_minutes values. Can you filter to sessions between 15 and 90 minutes and then calculate a trailing mean with a window of 7 so I can see how average session length is trending?”
Detecting low-engagement sessions by session count
“Here are my tutoring records — please filter them where session_count falls between 1 and 5, and then run a trailing mean series using a window of 3 on session_count so I can spot patterns in low-engagement periods.”
Education analytics for a semester dataset
“I've got a full semester's worth of tutoring session logs — 180 rows — for two course groups. Run a numeric interval filter keeping only rows where session_minutes is between 20 and 120, and compute a rolling 10-session trailing mean on session_minutes so I can track engagement over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical operations on tutoring session data — a numeric range filter and a trailing mean series — in a single low-cost call. It is purpose-built for education domain session records (session_minutes, session_count) with up to 200 rows, runs entirely on supplied data with no external dependencies, and is ideal when you want fast, deterministic local analytics without live data lookup or prediction.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum row limit
- window size larger than number of rows — trailing mean cannot be fully computed for early rows
- min greater than max — invalid interval produces empty filter result
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Missing required fields (row_id, date, session_minutes, session_count) — schema validation failure
- Payment not included or incorrect — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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