# Subscription Request Training Evaluation Text Overlap

> Subscription Request 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).

Measures text overlap between labelled subscription-intent training records and separate evaluation texts using a naive-Bayes baseline, reporting leakage metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-subscription-request-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/subscription-request-training-evaluation-text-overlap-9cfc5fac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZzdhUoUCkeUtEQ_s9Pn8m

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 subscription-request-training-evaluation-text-overlap-9cfc5fac -d '<json body>'
```

Example prompt: Check whether my subscription intent training records overlap with my evaluation texts — I have about 50 labelled records (with upgrade, downgrade, cancel, and renew labels) and 20 evaluation texts I want to keep clean from training data leakage.

## When to prefer this

Choose this endpoint when you need a lightweight, pay-per-use check for text overlap or data leakage between a small labelled subscription-intent training set and a set of evaluation texts, specifically for the four-class problem (upgrade, downgrade, cancel, renew). It is ideal when you don't want to host a model or use a foundation model, and just need a quick local naive-Bayes baseline evaluation of train-eval contamination for up to 200 records at minimal cost.

## Known failure modes

- Fewer than 2 records supplied returns a validation error
- Records missing required fields (id, text, actual) are rejected
- Evaluation texts array is empty or absent causes an error
- More than 200 records or evaluation texts exceeds the maximum and is rejected
- Invalid label values outside (upgrade, downgrade, cancel, renew) enum are rejected
- Text exceeding 1000 characters per record is truncated or rejected

## How this service works

Subscription request - Training evaluation text overlap: Training evaluation text overlap for Subscription request. 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 leakage/overlap report indicating the degree of text similarity between the supplied labelled training records and the evaluation texts, including overlap metrics computed via a local naive-Bayes baseline approach — no hosted model is used. The deliverable is a bounded evaluation artifact showing which records and evaluation texts overlap and to what extent.

## 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": [
       "upgrade",
       "downgrade",
       "cancel",
       "renew"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "upgrade sample document number 0 for this supplied dataset.",
     "actual": "upgrade"
    },
    {
     "id": "example-0-1",
     "text": "upgrade sample document number 1 for this supplied dataset.",
     "actual": "upgrade"
    },
    {
     "id": "example-0-2",
     "text": "upgrade sample document number 2 for this supplied dataset.",
     "actual": "upgrade"
    },
    {
     "id": "example-1-0",
     "text": "downgrade sample document number 0 for this supplied dataset.",
     "actual": "downgrade"
    },
    {
     "id": "example-1-1",
     "text": "downgrade sample document number 1 for this supplied dataset.",
     "actual": "downgrade"
    },
    {
     "id": "example-1-2",
     "text": "downgrade sample document number 2 for this supplied dataset.",
     "actual": "downgrade"
    },
    {
     "id": "example-2-0",
     "text": "cancel sample document number 0 for this supplied dataset.",
     "actual": "cancel"
    },
    {
     "id": "example-2-1",
     "text": "cancel sample document number 1 for this supplied dataset.",
     "actual": "cancel"
    },
    {
     "id": "example-2-2",
     "text": "cancel sample document number 2 for this supplied dataset.",
     "actual": "cancel"
    },
    {
     "id": "example-3-0",
     "text": "renew sample document number 0 for this supplied dataset.",
     "actual": "renew"
    },
    {
     "id": "example-3-1",
     "text": "renew sample document number 1 for this supplied dataset.",
     "actual": "renew"
    },
    {
     "id": "example-3-2",
     "text": "renew sample document number 2 for this supplied dataset.",
     "actual": "renew"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  },
  "evaluation_texts": {
   "type": "array",
   "items": {
    "type": "string",
    "default": "",
    "maxLength": 1000
   },
   "default": [
    "upgrade sample document number 0
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/subscription-request-training-evaluation-text-overlap-9cfc5fac/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)