# Language Routing Multiclass Log Loss Calculator

> Language Routing 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 2026-10-15).

Computes multiclass log loss metric for language routing model predictions across English, French, Spanish, and other language classes from up to 200 labeled text records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-log-loss?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/language-routing-multiclass-log-loss-calculator-0ac7f9f3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1u41SMJwliJfDFseYxEAj

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability language-routing-multiclass-log-loss-calculator-0ac7f9f3 -d '<json body>'
```

Example prompt: Compute the multiclass log loss for my language routing model using these 50 labeled records — each has the text, the actual language (english, french, spanish, or other), the predicted label, and the 4-class probability vector my model output.

## When to prefer this

Choose this endpoint when you need a quick, inexpensive computation of multiclass log loss for a language routing or language detection classifier with up to 4 classes (English, French, Spanish, other) and up to 200 records per batch, without needing to host or train a model. It is ideal for evaluation-only workflows where you already have model predictions and probability outputs and simply want the standard cross-entropy loss metric.

## Known failure modes

- Probability vectors that don't sum to 1 may cause computation errors or inaccurate results
- Records with fewer or more than 4 probability values (one per class) will be rejected
- Exceeding the 200 record limit per call will result in an error
- Missing required fields (id, text, actual, predicted, probabilities) on any record will cause validation failure
- Payment of 0.01 USDC must be provided via x402 protocol or call will be rejected

## How this service works

Language routing - Multiclass log loss: Multiclass log loss 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 multiclass log loss deliverable.

## Output

Returns a bounded multiclass log loss value computed over the supplied labeled records, reflecting how well the model's predicted probability distributions match the actual language classes across English, French, Spanish, and other categories.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual",
     "predicted",
     "probabilities"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "actual": {
      "enum": [
       "english",
       "french",
       "spanish",
       "other"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "english",
       "french",
       "spanish",
       "other"
      ],
      "type": "string"
     },
     "probabilities": {
      "type": "array",
      "items": {
       "type": "number",
       "default": 0,
       "maximum": 1,
       "minimum": 0
      },
      "default": [],
      "maxItems": 4,
      "minItems": 4
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "english sample document number 0 for this supplied dataset.",
     "actual": "english",
     "predicted": "english",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-1",
     "text": "english sample document number 1 for this supplied dataset.",
     "actual": "english",
     "predicted": "english",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-2",
     "text": "english sample document number 2 for this supplied dataset.",
     "actual": "english",
     "predicted": "english",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-0",
     "text": "french sample document number 0 for this supplied dataset.",
     "actual": "french",
     "predicted": "french",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-1",
     "text": "french sample document number 1 for this supplied dataset.",
     "actual": "french",
     "predicted": "french",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-2",
   
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/language-routing-multiclass-log-loss-calculator-0ac7f9f3/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)