# Lead Stage Multiclass Brier Score Calculator

> Lead Stage 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 performance on lead stage predictions across four sales pipeline stages.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-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/lead-stage-multiclass-brier-score-calculator-2f4526ba
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UVZYt0LvV5s8HShstj2UT

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 lead-stage-multiclass-brier-score-calculator-2f4526ba -d '<json body>'
```

Example prompt: Can you compute the multiclass Brier score for my lead stage classifier? I have 50 labelled records with actual stages (enquiry, qualified, negotiation, or closed) and the model's predicted stage and four class probabilities for each one.

## When to prefer this

Choose this endpoint when you need to evaluate a probabilistic multi-class classifier specifically for sales lead stage prediction across the four standard stages (enquiry, qualified, negotiation, closed), with up to 200 labelled records. It is purpose-built for the lead stage domain and bundles evaluation tooling without requiring a hosted model, making it ideal for quick validation of local or naive Bayes classifiers at very low cost.

## Known failure modes

- Records exceeding the 200-item limit may be rejected or truncated
- Probability arrays not summing to 1 or not containing exactly 4 values may cause errors
- Invalid or missing actual/predicted enum values (outside enquiry, qualified, negotiation, closed) will fail validation
- Empty records array returns no meaningful score
- Record IDs exceeding 80 characters will fail schema validation

## How this service works

Lead stage - Multiclass Brier score: Multiclass Brier score for Lead stage. 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 multiclass Brier score value quantifying the mean squared difference between predicted class probability distributions and the one-hot encoded actual class labels across all supplied records. Lower scores indicate better-calibrated probabilistic predictions across the four lead stages (enquiry, qualified, negotiation, closed).

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/lead-stage-multiclass-brier-score-calculator-2f4526ba/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)