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Language Routing Prediction Error Records
x402
Language Routing Prediction Error Records 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).
Computes prediction error records for a language routing classifier (English/French/Spanish/other) given up to 200 labelled text records with actual and predicted labels plus class probabilities.
Price / call$0.01
Success—
StatusUnknown
How this service works
Language routing - Prediction error records: Prediction error records 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 prediction error records deliverable.
Output
A bounded deliverable of prediction error records for each submitted text record, detailing where the language routing classifier made incorrect predictions, including per-record error information derived from the supplied actual labels, predicted labels, and class probabilities for english, french, spanish, and other.
Example use cases
Audit misclassified multilingual support tickets
“I have 120 customer support messages labelled with their true language and what my routing model predicted, plus the 4-class probability scores for each — run prediction error records on them so I can see which tickets were misrouted.”
Benchmark naive-Bayes language detector on test set
“Here are 80 labelled text samples I used to test my naive-Bayes language classifier — actual language, predicted language, and the probabilities for english, french, spanish, and other. Can you compute the prediction error records so I know where it's failing?”
Validate language routing before production deployment
“Before I push this language router to production, I want to evaluate it on 150 held-out labelled examples with their ground-truth and predicted language labels and probability arrays — can you give me the prediction error records so I can catch systematic mistakes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-errors?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, fast evaluation of a language routing classifier (English/French/Spanish/other) on a small labelled dataset (up to 200 records) without access to a hosted model or foundation-model training pipeline. Ideal for local model auditing, naive-Bayes baseline benchmarking, or pre-deployment validation of a language detection step in a multilingual routing workflow.
Side effects
- More than 200 records submitted — exceeds the per-call limit
- Missing required fields (id, text, actual, predicted, probabilities) on any record
- Probabilities array does not contain exactly 4 values or values outside [0,1]
- Invalid enum value for actual or predicted (must be english, french, spanish, or other)
- Empty records array submitted
- Record ID exceeds 80 characters or is empty
- Payment failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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