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Training Assessments — String Normalisation + Base-100 Series
x402
Training Assessments — 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 2026-10-29).
Runs two analytical reports on training assessment records: string normalisation and base-100 index series for pre_score or post_score fields, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied training assessments records (pre_score, post_score). 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 reports for the supplied rows: (1) string-normalised versions of the selected score field values, and (2) a base-100 index series derived from that field, both computed locally without any external lookups or predictions. Up to 200 rows are processed per call.
Example use cases
Pre/post score comparison across cohorts
“I've got training records for 120 learners in groups A and B with pre_score and post_score values — run string normalisation and a base-100 series on post_score starting at index 0 so I can compare how each group improved.”
Base-100 indexing for quarterly training data
“Here are our Q3 training assessment results for 80 rows with dates, course groups, and pre/post scores — compute the base-100 index series on pre_score using base index 0 and also give me the string-normalised output.”
Normalising scores before reporting
“Before I put together our training effectiveness report, can you normalise the pre_score column and generate a base-100 series for these 40 assessment records across three course groups, with the base index set to 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-030?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need both string normalisation and base-100 indexing on training assessment score data in a single call, without requiring live lookups, ML predictions, or external integrations. It is cost-effective at $0.01 for two reports on up to 200 rows, making it ideal for batch processing of pre/post training score datasets where reproducible, offline analytical computation is sufficient.
Side effects
- Missing required fields (row_id, course_group, date, pre_score, post_score) causes validation error
- More than 200 rows submitted returns an error
- Invalid date format (not YYYY-MM-DD) rejected by schema
- field enum value not 'pre_score' or 'post_score' causes rejection
- base_index out of range 0–199 causes error
- Null scores may affect index calculation output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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