# Training Question - Training/Evaluation Text Overlap Detector

> Training Question - Training/Evaluation Text Overlap Detector 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).

Detects text overlap between labelled training records and evaluation texts for ML training question classification datasets.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-training-question-leakage?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/training-question-training-evaluation-text-overlap-detector-9b4ce0f1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_M8ygva2sb95Y3HRJvzbjz

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-training-evaluation-text-overlap-detector-9b4ce0f1 -d '<json body>'
```

Example prompt: I have 12 labelled training records for question classification — each tagged as concept, procedure, example, or assessment — and 2 evaluation texts. Can you check how much the evaluation texts overlap with my training records to make sure I don't have data leakage?

## When to prefer this

Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) local check for training-evaluation text overlap in a small labelled dataset (up to 200 records) without invoking any hosted model or foundation model. Ideal for data quality audits on educational content classification tasks with the four-class label set (concept, procedure, example, assessment). Not suitable for large-scale datasets or tasks requiring semantic similarity beyond naive-Bayes text matching.

## Known failure modes

- Fewer than 2 training records supplied (minItems violation)
- No evaluation texts supplied (minItems violation)
- More than 200 records or evaluation texts supplied (maxItems violation)
- Record text exceeds 1000 characters
- Invalid label value outside enum (concept/procedure/example/assessment)
- Missing required fields (id, text, actual) on any record
- Payment not completed via x402 protocol

## How this service works

Training question - Training evaluation text overlap: Training evaluation text overlap 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 training evaluation text overlap deliverable.

## Output

A bounded deliverable describing the degree of text overlap between the supplied labelled training records and the evaluation texts, including overlap metrics and leakage indicators computed via local naive-Bayes baseline tools — no hosted model or foundation model is used.

## 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
  },
  "evaluation_texts": {
   "type": "array",
   "items": {
    "type": "string",
    "default": "",
    "maxLength": 1000
   },
   "default
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/training-question-training-evaluation-text-overlap-detector-9b4ce0f1/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)