# Project Status Multiclass Log Loss Calculator

> Project Status 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 metric for project status classification models over up to 200 labeled text records

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-project-status-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/project-status-multiclass-log-loss-calculator-b6c51639
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3xNEorcozmFbvKKEdnvCT

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 project-status-multiclass-log-loss-calculator-b6c51639 -d '<json body>'
```

Example prompt: Can you calculate the multiclass log loss for my project status classifier? I have 12 labeled records where each has the text, the actual status (planned, active, blocked, or complete), the predicted status, and a 4-element probability vector — here are the records as an array.

## When to prefer this

Choose this endpoint when you need a quick, cheap ($0.01) multiclass log loss evaluation for a project status classifier with exactly four classes (planned, active, blocked, complete) and up to 200 labeled records. It is ideal for lightweight model evaluation without needing a hosted model or foundation-model infrastructure. Prefer it over general-purpose ML evaluation APIs when your domain is specifically project lifecycle status classification and you want a single bounded metric deliverable.

## Known failure modes

- Records array exceeds 200 items — request rejected
- Probability array does not contain exactly 4 elements per record — validation error
- Probability values outside [0,1] range — schema validation failure
- Missing required fields (id, text, actual, predicted, probabilities) in any record — error
- Payment of 0.01 USDC not provided or rejected — 402 payment required
- Malformed JSON body — 400 bad request

## How this service works

Project status - Multiclass log loss: Multiclass log loss for Project status. 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 computed across the submitted labeled records, reflecting how well the model's predicted probability distributions align with the actual project status labels (planned, active, blocked, complete). Lower values indicate better-calibrated predictions.

## 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": [
       "planned",
       "active",
       "blocked",
       "complete"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "planned",
       "active",
       "blocked",
       "complete"
      ],
      "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": "planned sample document number 0 for this supplied dataset.",
     "actual": "planned",
     "predicted": "planned",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-1",
     "text": "planned sample document number 1 for this supplied dataset.",
     "actual": "planned",
     "predicted": "planned",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-2",
     "text": "planned sample document number 2 for this supplied dataset.",
     "actual": "planned",
     "predicted": "planned",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-0",
     "text": "active sample document number 0 for this supplied dataset.",
     "actual": "active",
     "predicted": "active",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-1",
     "text": "active sample document number 1 for this supplied dataset.",
     "actual": "active",
     "predicted": "active",
     "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/project-status-multiclass-log-loss-calculator-b6c51639/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)