# Sentiment Taxonomy Prompt Template Generator

> Sentiment Taxonomy Prompt Template Generator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Generates a taxonomy prompt template for sentiment classification (positive/neutral/negative) from up to 200 labelled text records, with local evaluation tools and naive-Bayes baselines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-sentiment-prompt-template?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sentiment-taxonomy-prompt-template-generator-365223fb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DOrw52X8xMS4YyVGRaiu4

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 sentiment-taxonomy-prompt-template-generator-365223fb -d '<json body>'
```

Example prompt: I have a set of labelled sentiment records — positive, neutral, and negative text examples — can you generate a taxonomy prompt template for sentiment classification using those samples, including a naive-Bayes baseline evaluation?

## When to prefer this

Choose this endpoint when you need a structured, reusable taxonomy prompt template for three-class sentiment classification (positive/neutral/negative) and you already have up to 200 labelled examples to ground it. It is best suited for lightweight ML prompt engineering workflows that do not require hosted model training or foundation-model fine-tuning, and where a naive-Bayes baseline and local evaluation suffice. Prefer alternatives if you need a fully hosted model, real-time inference, or more than three sentiment classes.

## Known failure modes

- Fewer than 2 records supplied — minimum input not met
- More than 200 records submitted — exceeds maxItems limit
- Record text exceeds 1000 character limit — truncation or rejection
- Missing required fields (id, text, actual) in one or more records
- Invalid sentiment label (not positive/neutral/negative) in actual field
- Payment not completed — x402 payment required before response is returned

## How this service works

Sentiment - Taxonomy prompt template: Taxonomy prompt template for Sentiment. 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 taxonomy prompt template deliverable.

## Output

A bounded taxonomy prompt template deliverable tailored for sentiment classification (positive/neutral/negative), derived from the supplied labelled records, along with local dataset evaluation outputs and a small naive-Bayes baseline — ready for use in downstream text classification tasks.

## 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": [
       "positive",
       "neutral",
       "negative"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "positive sample document number 0 for this supplied dataset.",
     "actual": "positive"
    },
    {
     "id": "example-0-1",
     "text": "positive sample document number 1 for this supplied dataset.",
     "actual": "positive"
    },
    {
     "id": "example-0-2",
     "text": "positive sample document number 2 for this supplied dataset.",
     "actual": "positive"
    },
    {
     "id": "example-1-0",
     "text": "neutral sample document number 0 for this supplied dataset.",
     "actual": "neutral"
    },
    {
     "id": "example-1-1",
     "text": "neutral sample document number 1 for this supplied dataset.",
     "actual": "neutral"
    },
    {
     "id": "example-1-2",
     "text": "neutral sample document number 2 for this supplied dataset.",
     "actual": "neutral"
    },
    {
     "id": "example-2-0",
     "text": "negative sample document number 0 for this supplied dataset.",
     "actual": "negative"
    },
    {
     "id": "example-2-1",
     "text": "negative sample document number 1 for this supplied dataset.",
     "actual": "negative"
    },
    {
     "id": "example-2-2",
     "text": "negative sample document number 2 for this supplied dataset.",
     "actual": "negative"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sentiment-taxonomy-prompt-template-generator-365223fb/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)