Curriculum Mapping String Normalisation and Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Normalises strings and fills missing values in curriculum mapping records (mapped_outcomes, required_outcomes) for up to 200 rows, producing 2 analytical reports.
Curriculum mapping — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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.
Returns two analytical reports: (1) a string normalisation report covering all supplied curriculum mapping records, and (2) an explicit missing-value fill report for the specified field (mapped_outcomes or required_outcomes) using the chosen fill method (zero, mean, or median). No external lookups or predictions are made; all analysis uses local engines on the supplied data.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-24-037?utm_source=zero.xyzChoose this endpoint when you need lightweight, deterministic string normalisation and missing-value imputation on curriculum mapping records (mapped_outcomes, required_outcomes) without any live data lookup, prediction, or external action. It is ideal for pre-processing educational outcome data before reporting or analysis, particularly when you need two independent reports (normalisation + fill) in a single cheap call ($0.01 USDC) for batches of up to 200 rows.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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