# Multiclass Log Loss Calculator for Task Type Classification

> Multiclass Log Loss Calculator for Task Type Classification 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 for a task-type text classifier (research/writing/analysis/implementation) given up to 200 labelled records with predicted probabilities.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-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/multiclass-log-loss-calculator-for-task-type-classification-6bbecf3e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CPq1TYjwk6UBxTmIJS5o4

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 multiclass-log-loss-calculator-for-task-type-classification-6bbecf3e -d '<json body>'
```

Example prompt: Calculate the multiclass log loss for my task-type classifier — I have 50 labelled text records, each tagged as research, writing, analysis, or implementation, and I can provide the predicted class and a 4-element probability vector for each one.

## When to prefer this

Choose this endpoint when you need a quick, cheap ($0.01 USDC) multiclass log loss computation for a 4-class task-type text classifier (research/writing/analysis/implementation) without needing a hosted model or foundation-model training. It is ideal for evaluating classifier output from your own model using local datasets of up to 200 records.

## Known failure modes

- Probability vectors that do not sum to 1 or contain values outside [0,1] may cause validation errors
- Supplying fewer than the required fields (id, text, actual, predicted, probabilities) per record will cause schema rejection
- Exceeding the 200-record limit will be rejected
- Probability arrays with fewer or more than 4 elements will fail validation
- Invalid enum values for actual or predicted fields (outside the four allowed classes) will be rejected

## How this service works

Task type - Multiclass log loss: Multiclass log loss 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 multiclass log loss deliverable.

## Output

Returns a bounded multiclass log loss value computed from the supplied labelled records, their actual class labels, and the predicted probability vectors across the four task-type categories (research, writing, analysis, implementation). The deliverable is a single log loss metric quantifying classifier quality.

## 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": [
       "research",
       "writing",
       "analysis",
       "implementation"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "research",
       "writing",
       "analysis",
       "implementation"
      ],
      "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": "research sample document number 0 for this supplied dataset.",
     "actual": "research",
     "predicted": "research",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-1",
     "text": "research sample document number 1 for this supplied dataset.",
     "actual": "research",
     "predicted": "research",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-2",
     "text": "research sample document number 2 for this supplied dataset.",
     "actual": "research",
     "predicted": "research",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-0",
     "text": "writing sample document number 0 for this supplied dataset.",
     "actual": "writing",
     "predicted": "writing",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-1",
     "text": "writing sample document number 1 for this supplied dataset.",
     "actual": "writing",
     "predicted": "writing",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
   
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/multiclass-log-loss-calculator-for-task-type-classification-6bbecf3e/health.json
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- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)