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Language Routing - Fixed-Holdout Learning Curve
x402
Language Routing - Fixed-Holdout Learning Curve is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Computes a fixed-holdout learning curve for a naive-Bayes language routing classifier (english/french/spanish/other) using up to 200 supplied labelled text records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Language routing - Fixed-holdout learning curve: Fixed-holdout learning curve 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 fixed-holdout learning curve deliverable.
Output
A fixed-holdout learning curve deliverable showing classification accuracy (and related metrics) of a naive-Bayes language routing model as a function of training set size, evaluated on a held-out portion of the supplied labelled records covering english, french, spanish, and other classes.
Example use cases
Data sufficiency check for language router
“I've got 120 labelled customer messages tagged as english, french, spanish, or other — run a fixed-holdout learning curve so I can see how many samples I actually need before accuracy plateaus.”
Baseline benchmark before investing in richer models
“Before we spend time on a fancy language detector, can you run a naive-Bayes learning curve on my 180 labelled text records to see what baseline accuracy looks like across english, french, spanish, and other?”
Validate language training data quality
“I collected 90 labelled texts for a language routing task — english, french, spanish, and other — can you compute the fixed-holdout learning curve to check whether my data quality is good enough for the classifier to learn reliably?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-learning-curve?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 labelled text records and want a quick, cheap ($0.01 USDC) diagnostic on how a naive-Bayes language classifier scales with training data — ideal for early-stage data sufficiency checks or baseline benchmarking before investing in larger or hosted models. Prefer it over general ML training services when you only need a local evaluation curve, not a hosted or fine-tuned model.
Side effects
- Fewer than 2 records supplied — minimum input violation
- More than 200 records supplied — exceeds maximum item count
- Record text exceeds 1000-character limit — truncation or rejection
- Invalid or missing 'actual' label not in allowed enum — schema validation error
- Insufficient class diversity in supplied records — degenerate learning curve
- Payment not completed via x402 protocol — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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