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Curriculum Mapping — String Normalisation + Trailing Mean Series
x402
Curriculum Mapping — String Normalisation + 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 2026-10-26).
Runs two local analytical reports on curriculum mapping data: string normalisation and trailing mean series for mapped_outcomes or required_outcomes fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Curriculum mapping — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied curriculum mapping records (mapped_outcomes, required_outcomes). 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 for the supplied curriculum mapping rows: (1) a string normalisation report cleaning text fields in the dataset, and (2) a trailing mean series for the selected numeric field (mapped_outcomes or required_outcomes) computed over the specified rolling window — all processed locally with no external lookups.
Example use cases
Rolling average of mapped outcomes by course group
“I have 120 rows of curriculum mapping data with dates, course groups, and mapped_outcomes values — can you compute a trailing mean series with a window of 5 and also normalise the string fields?”
Cleaning required outcomes data before reporting
“Before I hand off this curriculum dataset to our accreditation team, can you normalise the strings and run a trailing mean on the required_outcomes column with a window of 4? There are about 80 rows.”
Monthly curriculum analytics for a single course group
“I want to analyze 30 rows of curriculum mapping records for course group 'STEM-A' — please run string normalisation and a trailing mean series with window 2 on the mapped_outcomes field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-24-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical processing of curriculum mapping records — specifically string normalisation combined with a rolling/trailing mean series — without requiring external data lookups, predictions, or professional assessments. Ideal for education data pipelines that need to clean and summarize outcome metrics across up to 200 rows at low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the per-call limit
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Window size larger than the number of rows may produce sparse or empty trailing means
- Null values in mapped_outcomes or required_outcomes may reduce trailing mean coverage
- Missing required fields (row_id, course_group, date) cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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