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Lead Stage Training Evaluation Text Overlap
x402
Lead Stage 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 2026-10-15).
Checks for text overlap between supplied labelled lead-stage training records and evaluation texts using a local naive-Bayes baseline, returning an overlap analysis deliverable.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lead stage - Training evaluation text overlap: Training evaluation text overlap for Lead stage. 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
A bounded deliverable reporting the degree of text overlap between the supplied labelled training records and the evaluation texts, including leakage metrics computed locally using naive-Bayes baseline tooling. The response identifies which training and evaluation texts share content, helping users assess whether their evaluation results may be inflated by data contamination.
Example use cases
Pre-deployment leakage audit for lead classifier
“Before I report accuracy on my lead stage model, check if there's text overlap between my 120 labelled training records (mix of enquiry, qualified, negotiation, closed) and the 30 evaluation texts I held out — I need to know if any eval examples leaked into training.”
CRM pipeline data quality check
“I'm building a naive-Bayes classifier to predict CRM lead stages and I want to verify my train/eval split is clean — can you run a text overlap check on my 80 labelled lead records and 20 evaluation documents to catch any contamination?”
Benchmark validation before model comparison
“I'm comparing two text classifiers on lead stage prediction and need to make sure my benchmark is fair — please check for text overlap between my training set of 60 enquiry, qualified, negotiation, and closed examples and my 15 evaluation texts so I know the benchmark isn't inflated by leakage.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-leakage?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, local computation to detect text overlap or data leakage between a labelled lead-stage training set and a separate evaluation corpus, specifically using the four-class schema (enquiry, qualified, negotiation, closed). It is best suited for small datasets (up to 200 records) where no hosted model or foundation-model training is needed. Prefer it over general-purpose similarity APIs when you specifically need CRM lead stage leakage analysis at minimal cost ($0.01 USDC).
Side effects
- Fewer than 2 records supplied — minimum array size not met
- Record text exceeds 1000 character limit — truncation or rejection
- More than 200 records or evaluation texts submitted — exceeds maxItems constraint
- Missing required fields (id, text, actual) on any record — validation error
- Invalid label value for 'actual' field (must be enquiry, qualified, negotiation, or closed)
- Payment not processed — x402 payment required before response
- Empty evaluation_texts array — at least 1 evaluation text required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| evaluation_texts | array |
Tags
x402
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