# Review Aspect Fixed-Holdout Learning Curve

> Review Aspect Fixed-Holdout Learning Curve 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).

Generates a fixed-holdout learning curve for a naive-Bayes review aspect classifier (performance/appearance/value/other) from up to 200 labelled text records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-learning-curve?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/review-aspect-fixed-holdout-learning-curve-d69badbe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lfoAQV53bwhekp2gz-9vG

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-fixed-holdout-learning-curve-d69badbe -d '<json body>'
```

Example prompt: I have 150 labelled product reviews tagged as performance, appearance, value, or other — can you run a fixed-holdout learning curve on them so I can see how a naive-Bayes classifier's accuracy improves as training data grows?

## When to prefer this

Choose this endpoint when you have up to 200 labelled review text records tagged with aspect categories (performance, appearance, value, other) and need a quick, cheap learning curve evaluation using a naive-Bayes baseline with a fixed holdout split — without needing a hosted model or foundation-model training. Ideal for early-stage dataset assessment and labelling budget decisions.

## Known failure modes

- Fewer than 2 records supplied — minimum input not met
- Records missing required fields (id, text, actual) — validation error
- Enum value for 'actual' outside allowed set (performance/appearance/value/other) — rejected
- More than 200 records supplied — exceeds maxItems limit
- Insufficient class diversity to compute a meaningful learning curve
- Payment not processed — x402 payment required before response

## How this service works

Review aspect - Fixed-holdout learning curve: Fixed-holdout learning curve 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 fixed-holdout learning curve deliverable.

## Output

A fixed-holdout learning curve report showing how naive-Bayes classification accuracy on the review aspect categories (performance, appearance, value, other) changes as the number of training records increases, evaluated against a held-out portion of the supplied labelled dataset.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "actual": {
      "enum": [
       "performance",
       "appearance",
       "value",
       "other"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "performance sample document number 0 for this supplied dataset.",
     "actual": "performance"
    },
    {
     "id": "example-0-1",
     "text": "performance sample document number 1 for this supplied dataset.",
     "actual": "performance"
    },
    {
     "id": "example-0-2",
     "text": "performance sample document number 2 for this supplied dataset.",
     "actual": "performance"
    },
    {
     "id": "example-1-0",
     "text": "appearance sample document number 0 for this supplied dataset.",
     "actual": "appearance"
    },
    {
     "id": "example-1-1",
     "text": "appearance sample document number 1 for this supplied dataset.",
     "actual": "appearance"
    },
    {
     "id": "example-1-2",
     "text": "appearance sample document number 2 for this supplied dataset.",
     "actual": "appearance"
    },
    {
     "id": "example-2-0",
     "text": "value sample document number 0 for this supplied dataset.",
     "actual": "value"
    },
    {
     "id": "example-2-1",
     "text": "value sample document number 1 for this supplied dataset.",
     "actual": "value"
    },
    {
     "id": "example-2-2",
     "text": "value sample document number 2 for this supplied dataset.",
     "actual": "value"
    },
    {
     "id": "example-3-0",
     "text": "other sample document number 0 for this supplied dataset.",
     "actual": "other"
    },
    {
     "id": "example-3-1",
     "text": "other sample document number 1 for this supplied dataset.",
     "actual": "other"
    },
    {
     "id": "example-3-2",
     "text": "other sample document number 2 for this supplied dataset.",
     "actual": "other"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/review-aspect-fixed-holdout-learning-curve-d69badbe/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)