# Ticket Priority Training Evaluation Text Overlap

> Ticket Priority Training Evaluation Text Overlap 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).

Checks how much text overlap exists between labelled training records and evaluation texts for a ticket priority classifier, helping detect data leakage.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-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/ticket-priority-training-evaluation-text-overlap-e8e92d53
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_965w5h7ffC3HXrkg2Dd6a

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 ticket-priority-training-evaluation-text-overlap-e8e92d53 -d '<json body>'
```

Example prompt: Check my ticket priority training data for text overlap with the evaluation set — I have 9 labelled records (3 low, 3 normal, 3 high) and 2 evaluation texts; flag any leakage between them.

## When to prefer this

Choose this endpoint when you need a lightweight, local, bounded check for text overlap or data leakage between labelled ticket priority training records and evaluation texts, without requiring a hosted model or foundation-model infrastructure. Ideal for pre-training audits, dataset quality validation, and small-scale naive-Bayes ML pipelines focused on support ticket prioritization.

## Known failure modes

- Fewer than 2 records supplied — minimum record count not met
- More than 200 records or evaluation texts supplied — max item limit exceeded
- Missing required fields (id, text, actual) on any record — validation error
- Text exceeding 1000 characters per record — field length violation
- Invalid priority label outside enum (low/normal/high) — schema rejection
- Empty evaluation_texts array — minimum 1 item required

## How this service works

Ticket priority - Training evaluation text overlap: Training evaluation text overlap for Ticket priority. 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

Returns a bounded deliverable reporting the degree of text overlap between the supplied labelled training records and the evaluation texts, including overlap metrics and leakage indicators to help identify data contamination in the ticket priority classification 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": [
       "low",
       "normal",
       "high"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "low sample document number 0 for this supplied dataset.",
     "actual": "low"
    },
    {
     "id": "example-0-1",
     "text": "low sample document number 1 for this supplied dataset.",
     "actual": "low"
    },
    {
     "id": "example-0-2",
     "text": "low sample document number 2 for this supplied dataset.",
     "actual": "low"
    },
    {
     "id": "example-1-0",
     "text": "normal sample document number 0 for this supplied dataset.",
     "actual": "normal"
    },
    {
     "id": "example-1-1",
     "text": "normal sample document number 1 for this supplied dataset.",
     "actual": "normal"
    },
    {
     "id": "example-1-2",
     "text": "normal sample document number 2 for this supplied dataset.",
     "actual": "normal"
    },
    {
     "id": "example-2-0",
     "text": "high sample document number 0 for this supplied dataset.",
     "actual": "high"
    },
    {
     "id": "example-2-1",
     "text": "high sample document number 1 for this supplied dataset.",
     "actual": "high"
    },
    {
     "id": "example-2-2",
     "text": "high sample document number 2 for this supplied dataset.",
     "actual": "high"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  },
  "evaluation_texts": {
   "type": "array",
   "items": {
    "type": "string",
    "default": "",
    "maxLength": 1000
   },
   "default": [
    "low sample document number 0 for this supplied dataset.",
    "A separate supplied document."
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ticket-priority-training-evaluation-text-overlap-e8e92d53/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)