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Ticket Priority Training Evaluation Text Overlap
x402
Ticket Priority Training Evaluation Text Overlap is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Checks how much text overlap exists between labelled training records and evaluation texts for a ticket priority classifier, helping detect data leakage.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ticket priority - Training evaluation text overlap: Training evaluation text overlap 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 training evaluation text overlap deliverable.
Output
Returns a bounded deliverable reporting the degree of text overlap between the supplied labelled training records and the evaluation texts, including overlap metrics and leakage indicators to help identify data contamination in the ticket priority classification dataset.
Example use cases
Audit ticket classifier training data
“I'm training a ticket priority model and want to make sure my evaluation texts haven't leaked into my training set. Here are my labelled training records with low, normal, and high priority examples — can you check how much text overlap there is with my evaluation texts?”
Pre-launch data leakage check
“Before we deploy our support ticket priority classifier, run a text overlap check between our 150 labelled training examples and the 50 evaluation texts we've held out — I need to confirm there's no contamination.”
Dataset quality validation for ML pipeline
“We're building a naive-Bayes ticket prioritization model and want a bounded overlap evaluation — send these labelled ticket texts tagged as low, normal, or high priority through the training evaluation text overlap check against our test phrases.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-leakage?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, local, bounded check for text overlap or data leakage between labelled ticket priority training records and evaluation texts, without requiring a hosted model or foundation-model infrastructure. Ideal for pre-training audits, dataset quality validation, and small-scale naive-Bayes ML pipelines focused on support ticket prioritization.
Side effects
- Fewer than 2 records supplied — minimum record count not met
- More than 200 records or evaluation texts supplied — max item limit exceeded
- Missing required fields (id, text, actual) on any record — validation error
- Text exceeding 1000 characters per record — field length violation
- Invalid priority label outside enum (low/normal/high) — schema rejection
- Empty evaluation_texts array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| evaluation_texts | array |
Tags
x402
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