# manylives.me Text Classifier

> manylives.me Text Classifier is a paid API for AI agents from manylives.me, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).

Classifies a given text into topic categories — either from a user-supplied label list or open-ended — returning each matching category with a confidence score.

## Facts

- Endpoint: POST https://manylives.me/paid/text/classify?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/manylives-me-text-classifier-3575d33f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tVqKOEM9x_FcVtZOKf43a

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 manylives-me-text-classifier-3575d33f -d '<json body>'
```

Example prompt: Classify this text into one of these categories — finance, sport, technology, health — and tell me how confident you are: 'The central bank kept interest rates unchanged and signalled one more rise this year.'

## When to prefer this

Choose this endpoint when you need fast, single-call text classification with optional custom label sets and confidence scores, especially in an agent workflow that pays per-call via x402 and doesn't want to manage a full ML pipeline or host a model. Prefer over general LLM prompting when you need a structured, consistent JSON output with numeric confidence values for downstream routing or filtering.

## Known failure modes

- Text exceeds 20,000 character limit — request rejected
- No text field provided — validation error returned
- Labels field malformed or empty string — may fall back to open-ended classification
- Payment not included or insufficient — 402 Payment Required
- Ambiguous text with very low confidence scores across all labels

## How this service works

Classify a text into topic categories: from your own list of labels, or open topics if none given, with confidence.

## Output

Returns a JSON object with a 'categories' array, each element containing a 'label' (the matched category name) and a 'confidence' score (0–1 float) indicating how strongly the text fits that topic.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "examples": [
    "The central bank kept interest rates unchanged and signalled one more rise this year."
   ],
   "description": "the text (required, max 20,000 chars)"
  },
  "labels": {
   "type": "string",
   "examples": [
    "finance,sport,technology,health"
   ],
   "description": "optional, comma-separated labels to choose from"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "categories": [
   {
    "label": "finance",
    "confidence": 0.9
   }
  ]
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/manylives-me-text-classifier-3575d33f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from manylives.me](https://www.zero.xyz/host/manylives.me/llms.txt)