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Subscription Request Grouped Dataset Split
x402
Subscription Request 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 2026-10-12).
Splits up to 200 labelled subscription-intent text records into grouped train/test partitions with naive-Bayes baseline evaluation
Price / call$0.01
Success—
StatusUnknown
How this service works
Subscription request - Grouped dataset split: Grouped dataset split for Subscription request. 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 containing train and test partitions of the supplied labelled text records, along with naive-Bayes baseline classification results and evaluation metrics (e.g. accuracy, class distribution) computed locally — no hosted model or foundation-model training is involved.
Example use cases
Baseline model for churn signals
“I have 180 customer support messages labelled as cancel or renew — can you split them into grouped train and test sets and give me a naive-Bayes baseline score so I know if the labels are learnable?”
Upgrade vs downgrade intent split
“Take these 90 labelled subscription texts marked as either upgrade or downgrade and partition them into grouped dataset splits with a baseline evaluation — I want to see how well a simple classifier does before I invest in a bigger model.”
Multi-class subscription intent benchmark
“I've got 150 records covering all four subscription intents — upgrade, downgrade, cancel, and renew — please run a grouped dataset split and naive-Bayes baseline on them so I can sanity-check my labelling quality.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-subscription-request-dataset-split?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 labelled subscription intent text records (upgrade, downgrade, cancel, renew) and need a quick grouped train/test split with a naive-Bayes baseline evaluation — without standing up any hosted infrastructure or using a foundation model. Ideal for sanity-checking label quality, benchmarking dataset learnability, or preparing a small dataset for further ML work at minimal cost ($0.01 USDC per call).
Side effects
- Fewer than 2 records supplied — minimum minItems constraint violated
- More than 200 records supplied — maxItems constraint exceeded
- Invalid or missing 'actual' label — must be one of: upgrade, downgrade, cancel, renew
- Record text exceeds 1000 character limit
- Record ID missing or exceeds 80 character limit
- Payment of 0.01 USDC not received — x402 payment required before processing
- Insufficient class diversity in records — split may not be meaningful with only one class present
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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