# Feedback Theme Multiclass Log Loss Calculator

> Feedback Theme 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 over up to 200 labelled feedback-theme text records using local naive-Bayes evaluation tools.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-feedback-theme-log-loss?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/feedback-theme-multiclass-log-loss-calculator-1acd11e1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gXaExvl8gCPqWHECD8OGa

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 feedback-theme-multiclass-log-loss-calculator-1acd11e1 -d '<json body>'
```

Example prompt: Can you compute the multiclass log loss for my feedback theme classifier? I have 50 labelled records, each with actual and predicted labels from quality, price, delivery, and support categories, plus the four class probabilities per record.

## When to prefer this

Choose this endpoint when you need a fast, inexpensive multiclass log loss evaluation specifically for feedback theme classification (quality, price, delivery, support) with up to 200 pre-labelled records and pre-computed class probabilities. It is ideal when you have your own model's outputs and want a standardised metric without needing a hosted model or foundation-model training.

## Known failure modes

- More than 200 records submitted — exceeds batch limit
- Probabilities array does not contain exactly 4 values per record
- Probability values outside [0,1] range
- Invalid or missing actual/predicted label not in allowed enum
- Empty records array returns no result
- Malformed record IDs or missing required fields cause validation error

## How this service works

Feedback theme - Multiclass log loss: Multiclass log loss for Feedback theme. 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 submitted labelled text records, reflecting how well predicted class probabilities align with actual feedback theme labels across quality, price, delivery, and support 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": [
       "quality",
       "price",
       "delivery",
       "support"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "quality",
       "price",
       "delivery",
       "support"
      ],
      "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": "quality sample document number 0 for this supplied dataset.",
     "actual": "quality",
     "predicted": "quality",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-1",
     "text": "quality sample document number 1 for this supplied dataset.",
     "actual": "quality",
     "predicted": "quality",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-2",
     "text": "quality sample document number 2 for this supplied dataset.",
     "actual": "quality",
     "predicted": "quality",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-0",
     "text": "price sample document number 0 for this supplied dataset.",
     "actual": "price",
     "predicted": "price",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-1",
     "text": "price sample document number 1 for this supplied dataset.",
     "actual": "price",
     "predicted": "price",
     "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/feedback-theme-multiclass-log-loss-calculator-1acd11e1/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)