# Release Change Multiclass Log Loss Calculator

> Release Change 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 release-change text classification (feature/fix/documentation/maintenance) given labeled records with predicted probabilities.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-release-change-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/release-change-multiclass-log-loss-calculator-2a67ab81
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NJDhl5MX50wh3sMAxVUt1

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 release-change-multiclass-log-loss-calculator-2a67ab81 -d '<json body>'
```

Example prompt: Calculate the multiclass log loss for my release change classifier — I have 50 labeled records where each has the actual label (feature, fix, documentation, or maintenance), the predicted label, and a 4-element probability vector. Can you run these through the log loss evaluator?

## When to prefer this

Use this endpoint when you need to evaluate a text classifier on software release change categorization tasks using the standard multiclass log loss metric. It is especially suitable for small datasets (up to 200 records) and works well for local evaluation pipelines, baseline benchmarking, and model calibration checks across the four canonical release change types.

## Known failure modes

- Probabilities array does not sum to 1 or contains values outside [0,1]
- Records array exceeds 200 item limit
- Missing required fields (id, text, actual, predicted, probabilities)
- Invalid class label not in enum [feature, fix, documentation, maintenance]
- Empty records array submitted
- Probabilities array does not have exactly 4 elements

## How this service works

Release change - Multiclass log loss: Multiclass log loss for Release change. 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 over the supplied labeled text records, indicating the quality of probabilistic predictions across the four release-change categories (feature, fix, documentation, maintenance). 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": [
       "feature",
       "fix",
       "documentation",
       "maintenance"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "feature",
       "fix",
       "documentation",
       "maintenance"
      ],
      "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": "feature sample document number 0 for this supplied dataset.",
     "actual": "feature",
     "predicted": "feature",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-1",
     "text": "feature sample document number 1 for this supplied dataset.",
     "actual": "feature",
     "predicted": "feature",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-2",
     "text": "feature sample document number 2 for this supplied dataset.",
     "actual": "feature",
     "predicted": "feature",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-0",
     "text": "fix sample document number 0 for this supplied dataset.",
     "actual": "fix",
     "predicted": "fix",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-1",
     "text": "fix sample document number 1 for this supplied dataset.",
     "actual": "fix",
     "predicted": "fix",
     "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/release-change-multiclass-log-loss-calculator-2a67ab81/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)