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Tutoring Sessions String Normalisation + Base-100 Series
x402
Tutoring Sessions String Normalisation + Base-100 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).
Applies string normalisation and Base-100 indexing to tutoring session records (session_minutes or session_count), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutoring sessions — String normalisation + Base-100 series: String normalisation + Base-100 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
Two analytical reports: (1) string-normalised representations of the chosen field (session_minutes or session_count) across all supplied rows, and (2) a Base-100 indexed series anchored at the specified base_index row, covering up to 200 tutoring session records with row_id, course_group, and date context preserved.
Example use cases
Compare session minutes across course groups
“I have weekly tutoring session records for two course groups over the past month — can you normalise the session_minutes values and produce a Base-100 index series starting from the first row so I can compare trends across groups?”
Index session count growth over a term
“Here are 50 rows of tutoring data with session_count per date and course group — please apply string normalisation and compute a Base-100 series on session_count with the base index at row 0 so I can see relative growth across the term.”
Standardise tutoring records for dashboard reporting
“I need to clean and index these 120 tutoring session records for my education dashboard — run string normalisation and a Base-100 index on session_minutes starting at base index 10, and give me both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a Base-100 indexed time series for tutoring session data in a single low-cost call. Ideal for education analytics pipelines processing up to 200 session records where no live data lookup, prediction, or external enrichment is needed — just local computation on supplied rows.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, course_group, session_minutes, session_count) causes row rejection
- Invalid date format (non YYYY-MM-DD) triggers schema validation failure
- base_index out of range (>=number of rows) causes indexing error
- Null numeric values may produce gaps in the Base-100 series
- Payment not included or insufficient USDC results in 402 rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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