# Subscription Request Fixed-Holdout Learning Curve

> Subscription Request Fixed-Holdout Learning Curve 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 fixed-holdout learning curve for subscription request text classification (upgrade/downgrade/cancel/renew) using a naive-Bayes baseline on up to 200 labelled records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-subscription-request-learning-curve?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-fixed-holdout-learning-curve-b91081ec
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Emjzf0vzt5jBgYQdYiPzd

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-fixed-holdout-learning-curve-b91081ec -d '<json body>'
```

Example prompt: I have 120 labelled subscription request texts — each tagged as upgrade, downgrade, cancel, or renew — and I want to see a fixed-holdout learning curve showing how a naive-Bayes classifier improves as training size grows; can you run that analysis and return the curve results?

## When to prefer this

Choose this endpoint when you have up to 200 labelled subscription request texts (upgrade/downgrade/cancel/renew) and need a fast, cheap fixed-holdout learning curve using a naive-Bayes baseline — ideal for deciding how much labelled data to collect before investing in larger models, with no need for hosted or foundation model training.

## Known failure modes

- Fewer than 2 records provided — minimum input not met
- Records missing required fields (id, text, actual) — validation error
- More than 200 records submitted — exceeds maximum input limit
- Invalid class label in 'actual' field (must be upgrade/downgrade/cancel/renew) — schema rejection
- Highly imbalanced classes with very few records may produce unreliable curve estimates
- Payment of 0.01 USDC not completed — request rejected

## How this service works

Subscription request - Fixed-holdout learning curve: Fixed-holdout learning curve 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 fixed-holdout learning curve deliverable.

## Output

Returns a fixed-holdout learning curve deliverable showing classifier accuracy (naive-Bayes baseline) at incrementally larger training set sizes, evaluated against a fixed holdout split, for the four subscription intent classes (upgrade, downgrade, cancel, renew).

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/subscription-request-fixed-holdout-learning-curve-b91081ec/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)