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Lead Stage Grouped Dataset Split
x402
Lead Stage Grouped Dataset Split 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).
Splits a labeled lead-stage text dataset (up to 200 records) into grouped train/test partitions using a local naive-Bayes baseline, returning a bounded dataset split deliverable.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lead stage - Grouped dataset split: Grouped dataset split 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 grouped dataset split deliverable.
Output
A bounded grouped dataset split deliverable: the input records partitioned into grouped train and test subsets across the four lead stage classes (enquiry, qualified, negotiation, closed), along with local evaluation metrics from a naive-Bayes baseline — no hosted model or foundation-model training involved.
Example use cases
Sales pipeline text classifier prep
“I have 120 labeled CRM notes tagged as enquiry, qualified, negotiation, or closed — can you run a grouped dataset split on them so I can evaluate a local text baseline for our lead stage classifier?”
Evaluating lead qualification model quality
“We're testing a naive-Bayes approach for classifying sales leads by stage. Can you split our 80 labeled text records (enquiry, qualified, negotiation, closed) into grouped train/test partitions and give me the split deliverable?”
Balancing classes across lead stage groups
“Our lead stage dataset has uneven class sizes — 30 enquiry, 15 qualified, 10 negotiation, and 25 closed records. Run a grouped dataset split so we can see how the classes are distributed across train and test sets.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-dataset-split?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost grouped train/test split and local naive-Bayes baseline evaluation for lead stage text classification data (up to 200 records), without requiring hosted model infrastructure or foundation-model fine-tuning. It is ideal for lightweight ML dataset preparation in a sales pipeline or CRM context where the four lead stages (enquiry, qualified, negotiation, closed) are the target classes.
Side effects
- Fewer than 2 records supplied returns a validation error
- More than 200 records exceeds the maxItems limit and is rejected
- Missing required fields (id, text, actual) on any record causes a schema error
- Invalid 'actual' enum value (not one of enquiry/qualified/negotiation/closed) causes rejection
- Insufficient class representation may degrade split quality or baseline metrics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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