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Rubric Scoring — String Normalisation + Date by Category Pivot
x402
Rubric Scoring — String Normalisation + Date by Category Pivot 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 a date-by-category pivot analysis to up to 200 rubric scoring rows (awarded_points, available_points), returning two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rubric scoring — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied rubric scoring records (awarded_points, available_points). 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) a string-normalised version of the supplied rubric scoring rows with cleaned course_group and text fields, and (2) a date-by-category pivot table showing the selected field (awarded_points or available_points) aggregated across course groups and dates. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Course group performance pivot
“I've got rubric scores for two course groups — group-a and group-b — across October 2026, with awarded_points and available_points for each row. Can you normalise the string fields and give me a pivot of awarded_points broken down by date and course group?”
Multi-week assessment trend analysis
“Here are 180 rubric scoring records from our semester assessments, each tagged with a course_group and a date. Please run string normalisation and generate a date-by-category pivot on available_points so I can see trends across groups week by week.”
Grader data cleanup and summary
“Our graders submitted rubric data with inconsistent course group labels and dates ranging from 2026-09-01 to 2026-11-30. Can you normalise the strings and pivot awarded_points by date and category so I can review scoring patterns across the term?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-17-035?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 rubric scoring records and need both string normalisation of categorical fields and a date-by-category pivot in a single low-cost call ($0.01 USDC for both reports). Prefer this over general analytics tools when your data is already structured with row_id, course_group, date, awarded_points, and available_points fields and you want offline, deterministic analytical output with no external data dependencies.
Side effects
- More than 200 rows submitted — request rejected, reduce batch size
- Missing required fields (row_id, date, awarded_points, available_points) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in awarded_points or available_points may affect pivot aggregation
- Empty rows array — minItems:1 constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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