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Ticket Priority Grouped Three-Fold Baseline Cross-Validation
x402
Ticket Priority Grouped Three-Fold Baseline Cross-Validation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs a grouped three-fold cross-validation on up to 200 labelled support ticket texts to evaluate a naive-Bayes classifier's accuracy at predicting low, normal, or high priority.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ticket priority - Grouped three-fold baseline evaluation: Grouped three-fold baseline evaluation for Ticket priority. 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 grouped three-fold baseline evaluation deliverable.
Output
A grouped three-fold baseline evaluation result containing cross-validation accuracy metrics computed by a local naive-Bayes classifier over the supplied labelled records, indicating how well ticket text predicts low, normal, or high priority across the three folds.
Example use cases
Baseline accuracy check for support triage
“I have 120 labelled support tickets with text and their actual priority (low, normal, or high). Can you run a grouped three-fold cross-validation using the naive-Bayes baseline to see how well priority can be predicted from the ticket text?”
Evaluating new priority labelling scheme
“We just re-labelled 80 old tickets as low, normal, or high priority based on a new policy. Run a three-fold baseline evaluation on them so we can see if the labels are learnable from the ticket text before we invest in training a real model.”
Sanity check before ML pipeline investment
“Before we build a full ticket prioritization pipeline, can you do a quick naive-Bayes baseline cross-validation on these 45 sample tickets with their priority labels? I want to know if the text actually signals priority at all.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-cross-validation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.01 USDC) sanity-check or baseline accuracy estimate for a ticket priority text classification task using your own labelled data, before committing to training a full model. It is ideal for small datasets (up to 200 records) where you want to assess learnability using a naive-Bayes baseline with grouped three-fold cross-validation, without any hosted model or foundation-model overhead.
Side effects
- Fewer than 2 records supplied — minimum input not met
- More than 200 records supplied — exceeds maximum item limit
- Missing required fields (id, text, or actual) on any record
- Invalid priority label value outside enum (low, normal, high)
- Insufficient class distribution across folds for meaningful evaluation
- Record text exceeds 1000-character maximum
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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