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Language Routing — Train Local Text Baseline and Classify
x402
Language Routing — Train Local Text Baseline and Classify 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).
Trains a naive-Bayes text classifier on up to 200 labelled records (english/french/spanish/other) and classifies new query texts against that local model.
Price / call$0.01
Success—
StatusUnknown
How this service works
Language routing - Train local text baseline and classify: Train local text baseline and classify for Language routing. 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
The endpoint returns classification predictions for each query text (predicted language label from english/french/spanish/other), along with evaluation metrics for the trained naive-Bayes baseline model derived from the supplied labelled records.
Example use cases
Multilingual support ticket router
“I have 50 labelled support tickets in english, french, and spanish — train a quick local classifier on them and then tell me which language these 5 new incoming tickets are written in so I can route them to the right team.”
Language detection for content moderation
“Train a baseline language detector using my 80 labelled text samples across english, french, spanish, and other, then classify these 10 new posts so I know which moderation queue to send them to.”
Validating language tagging on a small dataset
“I have a small dataset of 30 texts I've already tagged as english, french, or other — can you train a naive-Bayes baseline on them and re-classify the same texts so I can see how well the model agrees with my labels?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-local-classifier?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a cheap, disposable, local text classification baseline for language routing without relying on a hosted or foundation model. Ideal for small datasets (up to 200 records), rapid prototyping, or cost-sensitive pipelines where a naive-Bayes approximation is sufficient. Prefer alternatives if you need high accuracy on multilingual text, support for languages beyond english/french/spanish/other, or a persistent hosted model.
Side effects
- Fewer than 2 labelled records supplied — minimum input not met
- More than 200 records provided — exceeds maximum and will be rejected
- Query texts array is empty or exceeds 20 items
- Text fields exceed 1000 characters — truncation or rejection
- Only one class present in training data — classifier cannot generalise
- Payment of 0.01 USDC not attached — 402 payment required response
- Invalid label value outside enum (english/french/spanish/other)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| query_texts | array |
Tags
x402
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