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Curriculum Mapping — String Normalisation + Two-Measure Correlation
x402
Curriculum Mapping — String Normalisation + Two-Measure Correlation 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).
Analyzes curriculum mapping records by normalizing strings and computing two-measure correlation between mapped_outcomes and required_outcomes across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Curriculum mapping — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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 independent analytical reports: (1) a string normalization report covering the text fields in the submitted curriculum mapping rows, and (2) a two-measure correlation report quantifying the statistical relationship between mapped_outcomes and required_outcomes across the supplied rows (up to 200 rows total).
Example use cases
Curriculum alignment audit for semester planning
“I have 150 rows of curriculum mapping records for our spring semester — each row has a course group, a date, mapped outcome counts, and required outcome counts. Can you normalize the strings and run a two-measure correlation between mapped and required outcomes so I can see how well our courses are aligned?”
Cross-group outcome gap analysis
“We have two course groups, group-a and group-b, with mapped and required outcome data logged daily through Q4 2026. Can you analyze the correlation between mapped outcomes and required outcomes across both groups and give me the normalization and correlation reports?”
Curriculum quality check before accreditation review
“Before our accreditation review, I need to check 80 curriculum mapping records — each with mapped_outcomes and required_outcomes fields — to see if there's a strong correlation and whether the data is clean. Can you run the string normalization and two-measure correlation analysis on them?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-24-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured curriculum mapping data with numeric mapped_outcomes and required_outcomes fields and need both string normalization and a two-measure statistical correlation analysis in a single call, without requiring live data lookup or external prediction. Best suited for batches of up to 200 rows where local analytical computation is sufficient and no external enrichment is needed.
Side effects
- Exceeds 200 row limit — request rejected with validation error
- Missing required fields (row_id, date, mapped_outcomes, required_outcomes) — schema validation failure
- Date field not in YYYY-MM-DD format — pattern validation error
- Null values in both outcome fields for a row — may degrade correlation computation
- row_id longer than 80 characters — field length validation error
- Payment not supplied or insufficient (x402 protocol) — payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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