# Training Question Taxonomy Prompt Template Generator

> Training Question 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 2026-10-28).

Generates a taxonomy prompt template for classifying training question records into concept, procedure, example, or assessment categories using supplied labelled text data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-training-question-prompt-template?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/training-question-taxonomy-prompt-template-generator-8cd0f3fb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cdhWWgh3VYE3gtYg6MMPw

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 training-question-taxonomy-prompt-template-generator-8cd0f3fb -d '<json body>'
```

Example prompt: I have a set of labelled training questions tagged as concept, procedure, example, or assessment — can you generate a taxonomy prompt template I can use to classify new questions, using these 12 labelled examples as the foundation?

## When to prefer this

Choose this endpoint when you need a ready-to-use prompt template for classifying educational or training content into a fixed four-category taxonomy (concept, procedure, example, assessment) using your own labelled examples. It is ideal for instructional designers, e-learning developers, or ML practitioners who want a lightweight, cost-effective classification prompt without needing to train or host a full model. Prefer this over general-purpose classifiers when the educational taxonomy (concept/procedure/example/assessment) is exactly the schema you need.

## Known failure modes

- Fewer than 2 records supplied — minimum input requirement not met
- More than 200 records supplied — exceeds maximum input limit
- Missing required fields (id, text, actual) on one or more records
- Invalid enum value in 'actual' field — must be concept, procedure, example, or assessment
- Text records exceeding 1000 character limit per item
- Payment not received or USDC transaction failed

## How this service works

Training question - Taxonomy prompt template: Taxonomy prompt template for Training question. 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

Returns a bounded taxonomy prompt template deliverable derived from up to 200 supplied labelled text records. The output is a structured prompt template suitable for classifying new text records into the four categories: concept, procedure, example, and assessment. May also include local dataset evaluation metrics and a naive-Bayes baseline comparison.

## 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": [
       "concept",
       "procedure",
       "example",
       "assessment"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "concept sample document number 0 for this supplied dataset.",
     "actual": "concept"
    },
    {
     "id": "example-0-1",
     "text": "concept sample document number 1 for this supplied dataset.",
     "actual": "concept"
    },
    {
     "id": "example-0-2",
     "text": "concept sample document number 2 for this supplied dataset.",
     "actual": "concept"
    },
    {
     "id": "example-1-0",
     "text": "procedure sample document number 0 for this supplied dataset.",
     "actual": "procedure"
    },
    {
     "id": "example-1-1",
     "text": "procedure sample document number 1 for this supplied dataset.",
     "actual": "procedure"
    },
    {
     "id": "example-1-2",
     "text": "procedure sample document number 2 for this supplied dataset.",
     "actual": "procedure"
    },
    {
     "id": "example-2-0",
     "text": "example sample document number 0 for this supplied dataset.",
     "actual": "example"
    },
    {
     "id": "example-2-1",
     "text": "example sample document number 1 for this supplied dataset.",
     "actual": "example"
    },
    {
     "id": "example-2-2",
     "text": "example sample document number 2 for this supplied dataset.",
     "actual": "example"
    },
    {
     "id": "example-3-0",
     "text": "assessment sample document number 0 for this supplied dataset.",
     "actual": "assessment"
    },
    {
     "id": "example-3-1",
     "text": "assessment sample document number 1 for this supplied dataset.",
     "actual": "assessment"
    },
    {
     "id": "example-3-2",
     "text": "assessment sample document number 2 for this supplied dataset.",
     "actual": "assessment"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/training-question-taxonomy-prompt-template-generator-8cd0f3fb/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)