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Document Type Multiclass Log Loss Calculator
x402
Document Type Multiclass Log Loss Calculator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes multiclass log loss for a document-type classifier (invoice/report/correspondence/other) given up to 200 labelled text records with predicted probabilities.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document type - Multiclass log loss: Multiclass log loss for Document 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 multiclass log loss deliverable.
Output
Returns a bounded multiclass log loss value (cross-entropy loss) computed over up to 200 supplied text records, reflecting how well the classifier's predicted probabilities match the actual document type labels across the four classes: invoice, report, correspondence, and other. Lower values indicate better-calibrated predictions.
Example use cases
Audit document classifier calibration
“I built a classifier that sorts uploaded files into invoice, report, correspondence, or other. I have 120 labelled test records with the model's predicted probabilities for each class — can you compute the multiclass log loss so I know how well-calibrated it is?”
Compare two document models
“I'm trying to decide between two document classification models. Can you compute the multiclass log loss for each using my 80 test records (invoice/report/correspondence/other) with their probability outputs so I can see which one performs better?”
Validate classifier before production deploy
“Before I deploy my document-type classifier, I want to sanity-check it with log loss on 200 held-out labelled examples covering invoices, reports, correspondence, and other documents — can you run that evaluation for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-document-type-log-loss?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost ($0.01 USDC) multiclass log loss evaluation for a document-type classifier specifically operating over the invoice/report/correspondence/other taxonomy, with up to 200 records per call. It is ideal for lightweight model evaluation, spot-checks, and benchmarking without needing a hosted model or full ML platform. Prefer it over general-purpose ML services when you already have predicted probabilities and ground truth labels and simply need the loss metric computed.
Side effects
- More than 200 records submitted — exceeds the maximum batch size limit
- Probabilities array does not sum to 1.0 or contains values outside [0,1]
- Probabilities array has fewer or more than 4 elements (must match the 4 classes)
- Invalid or missing actual/predicted label values outside the allowed enum
- Empty records array submitted with no data to evaluate
- Malformed record objects missing required fields such as id, text, actual, predicted, or probabilities
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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