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Ticket Priority Local Text Classifier
x402
Ticket Priority Local Text Classifier is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Trains a local naive-Bayes text classifier on up to 200 labelled ticket records and classifies new query texts into low, normal, or high priority
Price / call$0.01
Success—
StatusUnknown
How this service works
Ticket priority - Train local text baseline and classify: Train local text baseline and classify 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 train local text baseline and classify deliverable.
Output
Returns classification predictions (low, normal, or high priority) for each query text based on the locally trained naive-Bayes model, along with evaluation metrics from the training on the supplied labelled records.
Example use cases
Support ticket triage automation
“I've got 120 historical support tickets already labelled as low, normal, or high priority. Can you train a local text classifier on them and predict the priority for these 5 new incoming tickets I just received?”
Baseline ML model evaluation for helpdesk
“We want to see how well a simple text model can predict ticket priority from ticket descriptions. Here are 80 labelled examples — can you train a naive-Bayes baseline and show me how well it performs?”
Quick prototype classifier for bug reports
“Can you build a lightweight priority classifier using these 30 labelled bug report texts — low, normal, or high — and then classify these two new bug reports for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-local-classifier?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap, local naive-Bayes text classification baseline for ticket priority triage without requiring a hosted model or foundation model. Ideal for prototyping, evaluation, or lightweight automation on small datasets (up to 200 labelled records). Not suitable when you need deep learning, large-scale training, or a persistently hosted model.
Side effects
- Fewer than 2 labelled records supplied — minimum input not met
- Records missing required fields (id, text, actual) — validation error
- Priority label not one of low/normal/high — schema rejection
- More than 200 records supplied — exceeds max input limit
- More than 20 query texts supplied — exceeds query limit
- Insufficient class diversity in training data — model may fail or perform poorly
- Text too long (over 1000 characters per record) — truncation or rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| query_texts | array |
Tags
x402
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