# Review Aspect Classification — Supplied-Group Evaluation

> Review Aspect Classification — Supplied-Group Evaluation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Evaluates a supplied set of labeled text records (up to 200) for review aspect classification accuracy, broken down by user-defined group, using local naive-Bayes baselines and dataset tools.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-group-evaluation?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/review-aspect-classification-supplied-group-evaluation-72b93188
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AVTqbvVt5fPaVj9vNK6Hz

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 review-aspect-classification-supplied-group-evaluation-72b93188 -d '<json body>'
```

Example prompt: Evaluate my review aspect classifier results — I have 120 labeled records split into groups 'a' and 'b', each with actual and predicted labels across performance, appearance, value, and other categories. Can you run a group-level evaluation and tell me how each group is doing compared to a naive-Bayes baseline?

## When to prefer this

Choose this endpoint when you need a lightweight, low-cost group-level evaluation of a text classifier for review aspect categories (performance, appearance, value, other) on a small labeled dataset (up to 200 records), especially when you want per-group metrics and a naive-Bayes baseline without standing up a hosted model or using a foundation model.

## Known failure modes

- More than 200 records supplied — request rejected or truncated
- Missing required fields (id, text, actual, predicted, group) on any record — validation error
- Invalid enum value for actual or predicted (must be performance, appearance, value, other) — schema error
- Empty records array — no evaluation possible
- Payment not included or insufficient USDC — 402 response

## How this service works

Review aspect - Supplied-group evaluation: Supplied-group evaluation for Review aspect. 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 supplied-group evaluation deliverable.

## Output

Returns a group-level evaluation report covering classification metrics (such as accuracy, per-class breakdowns, and confusion data) for each supplied group, along with naive-Bayes baseline comparisons, for up to 200 labeled records across the four aspect categories: performance, appearance, value, and other.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual",
     "predicted",
     "group"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "actual": {
      "enum": [
       "performance",
       "appearance",
       "value",
       "other"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "performance",
       "appearance",
       "value",
       "other"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "performance sample document number 0 for this supplied dataset.",
     "group": "a",
     "actual": "performance",
     "predicted": "performance"
    },
    {
     "id": "example-0-1",
     "text": "performance sample document number 1 for this supplied dataset.",
     "group": "b",
     "actual": "performance",
     "predicted": "performance"
    },
    {
     "id": "example-0-2",
     "text": "performance sample document number 2 for this supplied dataset.",
     "group": "a",
     "actual": "performance",
     "predicted": "performance"
    },
    {
     "id": "example-1-0",
     "text": "appearance sample document number 0 for this supplied dataset.",
     "group": "a",
     "actual": "appearance",
     "predicted": "appearance"
    },
    {
     "id": "example-1-1",
     "text": "appearance sample document number 1 for this supplied dataset.",
     "group": "b",
     "actual": "appearance",
     "predicted": "appearance"
    },
    {
     "id": "example-1-2",
     "text": "appearance sample document number 2 for this supplied dataset.",
     "group": "a",
     "actual": "appearance",
     "predicted": "appearance"
    },
    {
     "id": "example-2-0",
     "text": "value sample document number 0 for this supplied dataset.",
     "group": "a",
     "actual": "value",
     "predicted": "value"
    },
    {
     "id": "example-2-1",
     "text": "value sample document number 1 for this supplied dataset.",
     "group": "b",
     "actual": "value",
     "predicted": "value"
    },
    {
     "id": "example-2-2",
     "text": "value sample document n
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/review-aspect-classification-supplied-group-evaluation-72b93188/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
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