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Training Assessments — String Normalisation + Adjacent Row Changes
x402
Training Assessments — String Normalisation + Adjacent Row Changes 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 analytical reports on training assessment data: string normalisation and adjacent row changes for pre_score or post_score across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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
Two analytical reports per call: (1) a string normalisation report standardizing course_group and date fields across submitted rows, and (2) an adjacent row changes report showing delta values between consecutive rows for the selected score field (pre_score or post_score). Results are computed locally with no external lookups.
Example use cases
Course group score delta tracking
“I have training assessment data for two course groups across the past week — can you run adjacent row changes on the post_score field for these 5 rows so I can see how scores shifted between sessions? Row-1: 2026-10-01, group-a, pre=12, post=8; Row-2: 2026-10-02, group-b, pre=22, post=15; Row-3: 2026-10-03, group-a, pre=18, post=11; Row-4: 2026-10-04, group-b, pre=27, post=19; Row-5: 2026-10-05, group-a, pre=25, post=22.”
Pre-training score normalisation audit
“Can you normalize the pre_score strings and flag any adjacent row changes across these training records for me? I've got 3 rows: row-1 on 2026-11-01 for cohort-x with pre_score 55 and post_score 70, row-2 on 2026-11-02 for cohort-y with pre_score 60 and post_score 68, row-3 on 2026-11-03 for cohort-x with pre_score 50 and post_score 72.”
L&D program score consistency check
“We're reviewing our L&D program data and need string normalisation plus row-to-row change analysis on the post_score field for this batch — 4 records: assessment-1 dated 2026-09-10 in group-finance, pre=80, post=85; assessment-2 dated 2026-09-11 in group-hr, pre=75, post=78; assessment-3 dated 2026-09-12 in group-finance, pre=82, post=90; assessment-4 dated 2026-09-13 in group-hr, pre=70, post=73.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-029?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two lightweight, offline analytical reports — string normalisation and adjacent row change detection — on training assessment data (pre/post scores) without any live prediction, external lookup, or professional evaluation. It is ideal for small-to-medium batches (up to 200 rows) of education or L&D assessment records and costs only $0.01 USDC per call for both reports combined.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Missing required fields (row_id, course_group, date, pre_score, post_score) — schema error
- Invalid field selector (not pre_score or post_score) — enum validation error
- Score values outside allowed numeric range — validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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