# Review Aspect Multiclass Brier Score Calculator

> Review Aspect Multiclass Brier Score Calculator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).

Computes the multiclass Brier score to evaluate probabilistic classifier quality on review aspect labels (performance, appearance, value, other)

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-brier?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/review-aspect-multiclass-brier-score-calculator-691ca461
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JY7kbhq_rPE9mKY3_z85i

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 review-aspect-multiclass-brier-score-calculator-691ca461 -d '<json body>'
```

Example prompt: Compute the multiclass Brier score for my review aspect classifier — I have up to 50 labelled records where each has an actual label (one of performance, appearance, value, or other), a predicted label, and four class probabilities. Can you run the evaluation and tell me how well-calibrated my model is?

## When to prefer this

Choose this endpoint when you need a fast, low-cost probabilistic evaluation metric for a 4-class review aspect classifier using local dataset tools and a naive-Bayes baseline context. It is purpose-built for the specific review aspect taxonomy (performance, appearance, value, other) and costs only $0.01 USDC per call. Prefer it over generic ML APIs when you want a bounded Brier score computation without needing to train or host a foundation model.

## Known failure modes

- Records array exceeds 200 items — request rejected
- Probability arrays not exactly length 4 — validation error
- Probabilities outside [0,1] range — validation error
- Missing required fields (id, text, actual, predicted, probabilities) — schema error
- Enum values not in {performance, appearance, value, other} — rejected
- Empty records array — no score computed

## How this service works

Review aspect - Multiclass Brier score: Multiclass Brier score for Review aspect. 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 brier score deliverable.

## Output

A bounded multiclass Brier score value (0 to 2, lower is better) summarizing how well the classifier's predicted probability distributions match the true one-hot label vectors across up to 200 supplied labelled review-aspect records; includes one scalar deliverable per call.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/review-aspect-multiclass-brier-score-calculator-691ca461/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)