# Feedback Theme Multiclass Brier Score

> Feedback Theme Multiclass Brier Score 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 the multiclass Brier score for a feedback theme classifier across up to 200 labelled text records with actual labels, predicted labels, and class probabilities.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-feedback-theme-brier?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-brier-score-906ae51f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_A8TUVgAag01UcImjrPCKy

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-brier-score-906ae51f -d '<json body>'
```

Example prompt: Can you compute the multiclass Brier score for my feedback theme classifier? I have 50 labelled records where each has an ID, the text, the actual label (one of quality, price, delivery, or support), the predicted label, and a 4-element probability vector summing to 1.

## When to prefer this

Choose this endpoint when you need a proper probabilistic scoring rule (Brier score) to evaluate a multiclass text classifier over the four feedback themes (quality, price, delivery, support) on a local labelled dataset of up to 200 records, particularly when you want to assess probability calibration rather than just accuracy. Prefer this over accuracy-only metrics when your classifier outputs class probabilities and you need a bounded, interpretable score. Best suited for small-scale offline evaluation workflows without requiring a hosted model or foundation model infrastructure.

## Known failure modes

- More than 200 records submitted — exceeds maximum batch size
- Probability vector does not contain exactly 4 elements — violates minItems/maxItems constraint
- Individual probability values outside [0, 1] range — validation failure
- Invalid or unrecognised label value outside enum (quality, price, delivery, support) — schema rejection
- Empty records array submitted — no data to evaluate
- Missing required fields (id, text, actual, predicted, probabilities) on any record — schema error

## How this service works

Feedback theme - Multiclass Brier score: Multiclass Brier score 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 brier score deliverable.

## Output

Returns a single bounded multiclass Brier score value summarising the mean squared difference between predicted class probability vectors and one-hot encoded actual labels across all supplied records, allowing assessment of classifier calibration and probabilistic accuracy for the four feedback themes (quality, price, delivery, support).

## 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-brier-score-906ae51f/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)