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Language Routing Top-k Label Coverage
x402
Language Routing Top-k Label Coverage 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 top-k label coverage metrics for a language routing classifier given up to 200 labelled text records with predicted probabilities.
Price / call$0.01
Success—
StatusUnknown
How this service works
Language routing - Top-k label coverage: Top-k label coverage 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 top-k label coverage deliverable.
Output
Returns a bounded top-k label coverage deliverable: the proportion of supplied records for which the true language label appears within the top-k ranked predicted probabilities, given the specified k (1–4) and up to 200 labelled records with actual labels, predicted labels, and 4-class probability arrays.
Example use cases
Validate language router before deployment
“I'm about to deploy a language routing pipeline and want to confirm quality — I have 120 records each with actual language, predicted label, and a 4-class probability array. Can you calculate the top-2 label coverage so I know if the correct language is within the two most confident predictions at least 95% of the time?”
Compare k values for routing threshold tuning
“I have 80 labelled documents for a language classifier — actual labels are english, french, spanish, or other — with predicted labels and probability scores. Please compute the top-1 label coverage so I can see how precise the best guess is before deciding whether to route with k=1 or k=2.”
Audit misclassified French documents
“We have 60 French text samples that our language router struggled with — I've got the actual labels all set to french, the predicted labels, and the 4-class probability arrays. Can you run top-3 label coverage to check if the correct language at least shows up in the three highest-probability predictions?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-top-k?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to evaluate a language routing classifier (English/French/Spanish/other) using top-k label coverage on a small labelled dataset of up to 200 records and already have predicted probability arrays. It is ideal for quick, low-cost offline evaluation without needing a hosted model or foundation model training. Prefer this over general-purpose ML evaluation tools when working specifically within the 4-class language routing domain and when per-call cost needs to stay at $0.01 USDC.
Side effects
- More than 200 records supplied — request will be rejected or truncated
- Probability arrays with fewer or more than 4 elements per record
- k value outside the 1–4 range
- Missing required fields (id, text, actual, predicted, probabilities) in any record
- Label values outside the allowed enum (english, french, spanish, other)
- Malformed JSON payload
- Payment failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| k | integer | |
| records | array |
Tags
x402
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