# Lead Stage Multiclass Log Loss Calculator

> Lead Stage 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 2026-10-15).

Computes multiclass log loss for lead stage classification models across up to 200 labelled text records with enquiry/qualified/negotiation/closed categories.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-log-loss?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/lead-stage-multiclass-log-loss-calculator-6141486f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QFuNKtxxBhYMUHfo-gKmm

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-log-loss-calculator-6141486f -d '<json body>'
```

Example prompt: Calculate the multiclass log loss for my lead stage classifier — I have 50 labelled records with actual stages (enquiry, qualified, negotiation, or closed), my model's predicted stage, and the four class probabilities for each record.

## When to prefer this

Choose this endpoint when you need a fast, inexpensive log loss evaluation for a fixed four-class lead stage classifier (enquiry, qualified, negotiation, closed) on small to medium batches up to 200 records, without needing hosted model training or foundation model access. Ideal for lightweight CRM model benchmarking at $0.01 per call.

## Known failure modes

- Probabilities array does not sum to 1.0 per record — invalid input
- More than 200 records supplied — exceeds batch limit
- Fewer than 4 probability values per record — schema violation
- Invalid stage label outside the four allowed enums — rejected
- Empty records array — no computation possible

## How this service works

Lead stage - Multiclass log loss: Multiclass log loss 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 log loss deliverable.

## Output

Returns a bounded multiclass log loss value for the supplied labelled dataset, quantifying how well the model's predicted probabilities align with actual lead stages (enquiry, qualified, negotiation, closed). Lower values indicate better probability calibration.

## 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-log-loss-calculator-6141486f/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)