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Train Local Text Baseline and Classify (Task Type)
x402
Train Local Text Baseline and Classify (Task Type) 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 across task-type categories (research, writing, analysis, implementation) and classifies query texts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Task type - Train local text baseline and classify: Train local text baseline and classify for Task type. 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 submitted query text, based on a naive-Bayes model trained locally on the supplied labelled records. Results include the predicted task-type label (research, writing, analysis, or implementation) for each query, along with any evaluation metrics available from the local dataset tools.
Example use cases
Baseline classifier for task routing
“I've got 120 labelled task records split between research, writing, analysis, and implementation. Train a naive-Bayes baseline on them and tell me which category these five new task descriptions fall into: 'draft executive summary', 'explore dataset anomalies', 'build REST API endpoint', 'review literature on transformers', 'write user documentation'.”
Quick ML sanity check on task labels
“Before I invest in a bigger model, can you train a quick local text classifier on my 80 labelled task examples across the four task types and evaluate how well it classifies a handful of held-out query texts like 'prototype the database schema' and 'conduct user interviews'?”
Auto-tagging incoming task descriptions
“I'm getting new task descriptions every day and want to auto-tag them as research, writing, analysis, or implementation. I have 150 manually labelled examples — train a naive-Bayes classifier on those and then classify today's batch of 10 new task texts for me.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-task-type-local-classifier?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC), local naive-Bayes text classification baseline for task-type categorization without requiring a hosted or foundation model. Ideal for prototyping, sanity-checking labels, or routing task descriptions at small scale (up to 200 examples). Prefer this over foundation-model endpoints when cost, simplicity, and interpretability matter more than accuracy, or when you want a reproducible baseline before investing in larger models.
Side effects
- Fewer than 2 labelled records supplied — minimum input not met, request rejected
- More than 200 labelled records submitted — exceeds maxItems limit
- Query texts array is empty or missing — at least 1 query text required
- Text field exceeds 1000 characters — truncation or rejection of that record
- Invalid or missing 'actual' enum value — must be one of: research, writing, analysis, implementation
- Insufficient class coverage in training set — classifier may perform poorly if only one category is represented
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| query_texts | array |
Tags
x402
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