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Task Type Top-k Label Coverage
x402
Task Type 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 2026-10-12).
Computes top-k label coverage metrics for a naive-Bayes text classifier trained to distinguish task types (research, writing, analysis, implementation) using up to 200 labelled records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Task type - Top-k label coverage: Top-k label coverage 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 top-k label coverage deliverable.
Output
Returns a bounded top-k label coverage score indicating the fraction of supplied labelled records where the true label appears within the top-k ranked predicted classes, computed over up to 200 text records with 4-class (research, writing, analysis, implementation) naive-Bayes probability outputs.
Example use cases
Evaluating task classifier coverage
“I've trained a naive-Bayes model to classify documents as research, writing, analysis, or implementation. Can you compute the top-2 label coverage on my 50 test records? Each record has the document text, the actual task type label, the predicted label, and the four class probabilities.”
Comparing k=1 vs k=2 prediction quality
“For my task type classifier, can you calculate top-k coverage at k=1 and k=2 so I can see whether allowing one extra guess meaningfully improves coverage? I'll pass in 30 labelled records with actual labels, predicted labels, and probability scores for all four classes.”
Quality check before deploying task router
“Before I ship my task routing system, I want to confirm the model's top-3 label coverage on my 100 held-out records — each has the text snippet, ground-truth task type (research, writing, analysis, or implementation), the top predicted label, and the probability distribution across all four classes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-task-type-top-k?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, cheap ($0.01 USDC) top-k label coverage evaluation for a 4-class task-type text classifier (research/writing/analysis/implementation) on small datasets up to 200 records, without requiring a hosted model or full ML infrastructure. Best suited for local evaluation workflows, quick model sanity checks, or naive-Bayes baseline benchmarking.
Side effects
- More than 200 records supplied — request rejected or truncated
- Probability arrays not summing to 1 or containing values outside [0,1]
- Probability array length not exactly 4 — schema validation error
- k value outside allowed range of 1–4 — validation error
- Label values outside allowed enum (research, writing, analysis, implementation) — rejected
- Empty records array — no coverage computable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| k | integer | |
| records | array |
Tags
x402
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