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Training Assessments — Numeric Row Ordering + Base-100 Series
x402
Training Assessments — Numeric Row Ordering + 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).
Computes numeric row ordering and Base-100 index series for up to 200 training assessment records (pre_score and post_score), returning two analytical reports using local computation only.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — Numeric row ordering + Base-100 series: Numeric row ordering + 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
Two analytical reports: (1) a numeric row ordering of the supplied assessment records ranked by the chosen field (pre_score or post_score), and (2) a Base-100 index series showing each row's value relative to the base index row — both computed locally with no external lookups. Covers up to 200 rows per call.
Example use cases
Post-training score progression analysis
“I have 50 learner records from our Q3 training cohort with pre_score and post_score values — can you rank all rows by post_score and generate a Base-100 index series starting from index 0, so I can see how each learner's score relates to the baseline?”
Course group performance ranking
“We ran assessments across two course groups last month. I'll give you 80 rows with pre_score and post_score for each participant — can you produce the numeric row ordering and Base-100 series report using pre_score as the field, starting at base index 0?”
Comparing learning gain across assessment dates
“Here are 120 training assessment records with dates, course groups, pre-test and post-test scores — please rank them numerically and compute the Base-100 series on post_score with a base index of 0, so I can compare learning gain across dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, locally-computed numeric row ranking and Base-100 normalization for training assessment data (pre_score/post_score) in a single low-cost call. It is ideal when you want two reports simultaneously (ordering + index series) without any live lookup, prediction, or external data enrichment. Prefer alternatives if you need statistical outlier detection, correlation analysis, deduplication, or grouped summaries — sibling endpoints on the same platform cover those operations.
Side effects
- Submitting more than 200 rows returns an error — batch must be split
- Missing required fields (row_id, course_group, date, pre_score, post_score) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- base_index value out of range (0–199) returns a schema validation error
- All-null pre_score or post_score values may produce empty or degenerate index series
- Non-numeric score values cause type validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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