# Ticket Priority Multiclass Brier Score

> Ticket Priority 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 2026-10-15).

Computes the multiclass Brier score for a ticket priority classifier (low/normal/high) from up to 200 labelled records with predicted probabilities.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-brier?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/ticket-priority-multiclass-brier-score-ad47c908
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vyOGRqDfTbpP7zyb5Zk6a

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 ticket-priority-multiclass-brier-score-ad47c908 -d '<json body>'
```

Example prompt: Calculate the multiclass Brier score for my ticket priority model — I have 50 labelled support tickets, each with the actual priority (low, normal, or high), the predicted label, and a 3-element probability array like [0.7, 0.2, 0.1].

## When to prefer this

Choose this endpoint when you need a single probabilistic calibration metric for a three-class ticket priority model (low/normal/high) and have up to 200 labelled records with per-class probabilities. It is purpose-built for this specific classification schema and costs only $0.01 per evaluation, making it ideal for lightweight, repeated model health checks without running a full ML pipeline locally.

## Known failure modes

- Fewer than 2 records supplied — minimum record count not met
- Probability array does not have exactly 3 elements per record
- Probability values outside [0, 1] range
- Actual or predicted label not one of 'low', 'normal', 'high'
- More than 200 records submitted — exceeds maximum
- Payment of 0.01 USDC not fulfilled — x402 payment required
- Malformed JSON body — missing required fields id, text, actual, predicted, or probabilities

## How this service works

Ticket priority - Multiclass Brier score: Multiclass Brier score for Ticket priority. 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 multiclass Brier score value summarising probabilistic prediction quality across up to 200 ticket records labelled as low, normal, or high priority. Lower scores indicate better-calibrated probability estimates.

## 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": [
       "low",
       "normal",
       "high"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "low",
       "normal",
       "high"
      ],
      "type": "string"
     },
     "probabilities": {
      "type": "array",
      "items": {
       "type": "number",
       "default": 0,
       "maximum": 1,
       "minimum": 0
      },
      "default": [],
      "maxItems": 3,
      "minItems": 3
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "low sample document number 0 for this supplied dataset.",
     "actual": "low",
     "predicted": "low",
     "probabilities": [
      0.8,
      0.1,
      0.1
     ]
    },
    {
     "id": "example-0-1",
     "text": "low sample document number 1 for this supplied dataset.",
     "actual": "low",
     "predicted": "low",
     "probabilities": [
      0.8,
      0.1,
      0.1
     ]
    },
    {
     "id": "example-0-2",
     "text": "low sample document number 2 for this supplied dataset.",
     "actual": "low",
     "predicted": "low",
     "probabilities": [
      0.8,
      0.1,
      0.1
     ]
    },
    {
     "id": "example-1-0",
     "text": "normal sample document number 0 for this supplied dataset.",
     "actual": "normal",
     "predicted": "normal",
     "probabilities": [
      0.1,
      0.8,
      0.1
     ]
    },
    {
     "id": "example-1-1",
     "text": "normal sample document number 1 for this supplied dataset.",
     "actual": "normal",
     "predicted": "normal",
     "probabilities": [
      0.1,
      0.8,
      0.1
     ]
    },
    {
     "id": "example-1-2",
     "text": "normal sample document number 2 for this supplied dataset.",
     "actual": "normal",
     "predicted": "normal",
     "probabilities": [
      0.1,
      0.8,
      0.1
     ]
    },
    {
     "id": "example-2-0",
     "text": "high sample document number 0 for this supplied dataset.",
     "actual": "high",
     "predicted": "high",
     "probabilities": [
    
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ticket-priority-multiclass-brier-score-ad47c908/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)