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Training Question Supplied-Group Evaluation
x402
Training Question Supplied-Group Evaluation 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).
Evaluates a classifier's performance on labeled training-question records segmented by group, returning per-group and overall accuracy metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training question - Supplied-group evaluation: Supplied-group evaluation for Training question. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded supplied-group evaluation deliverable.
Output
A structured evaluation report broken down by group, including per-group accuracy, confusion between the four classes (concept, procedure, example, assessment), and overall aggregate metrics across all supplied records (up to 200).
Example use cases
Auditing classifier bias across student cohorts
“I have 150 labeled training questions split between two student groups, A and B. Each record has an id, the question text, the actual type (concept, procedure, example, or assessment), and what my model predicted. Can you run a group evaluation so I can see if my classifier performs worse for one group than the other?”
Benchmarking a baseline model on tagged content
“I've got a small dataset of 80 tagged instructional text records across groups 'beginner' and 'advanced' — each tagged as concept, procedure, example, or assessment with both the actual and predicted labels. Run a group evaluation and tell me where the baseline model is making the most mistakes.”
Validating labeling consistency before model training
“Before I train a full model, I want to sanity-check my labels using a naive-Bayes baseline. I have 200 records with ids, text snippets, group names, actual labels, and predicted labels. Can you do a supplied-group evaluation and show me the per-group accuracy breakdown?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-training-question-group-evaluation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, per-group breakdown of classifier performance on training question data (concept/procedure/example/assessment labels) using a supplied labeled dataset of up to 200 records, without requiring a hosted model or foundation-model infrastructure. Ideal for rapid auditing of label quality, cohort-level bias detection, or benchmarking a naive-Bayes baseline cheaply at $0.01 per call.
Side effects
- More than 200 records submitted — exceeds the bounded deliverable limit
- Records missing required fields (id, text, actual, predicted, group) — validation error
- Labels outside the allowed enum (concept, procedure, example, assessment) — schema rejection
- Empty records array — no evaluation possible
- Malformed JSON body — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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