# pagos.andreax.dev Text Embeddings

> pagos.andreax.dev Text Embeddings is a paid API for AI agents from pagos.andreax.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).

Converts a text string into a numerical embedding vector for use in semantic search, RAG pipelines, clustering, and AI memory.

## Facts

- Endpoint: GET https://pagos.andreax.dev/api/taller/peaje/embeddings
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pagos-andreax-dev-text-embeddings-ec37c1a6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TIPvaPqM1XDBCVOBRm7GX

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 pagos-andreax-dev-text-embeddings-ec37c1a6
```

Example prompt: Convert this sentence into an embedding vector so I can store it in my vector database for semantic search: 'The quick brown fox jumps over the lazy dog.'

## When to prefer this

Choose this endpoint when you need a lightweight, pay-per-call embedding service at $0.001 USDC per call without managing your own embedding model infrastructure. Ideal for agents doing semantic search, RAG, or clustering tasks that require high-volume embedding at low cost.

## Known failure modes

- Missing required 'input' query parameter returns an error
- Empty string input may return a zero vector or error
- Excessively long text may be truncated or rejected
- Network timeout for high-volume concurrent requests
- x402 payment failure if wallet balance is insufficient

## How this service works

Convierte un texto en un vector (embedding) para búsqueda semántica, RAG, clustering o memoria. El bloque base que todo agente de IA necesita. Alto volumen. input=texto.

## Output

Returns a numerical vector (array of floats) representing the semantic content of the input text, suitable for storage in a vector database, cosine similarity comparisons, clustering algorithms, or as memory in an AI agent pipeline.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "input"
     ],
     "properties": {
      "input": {
       "type": "string",
       "description": "Texto a convertir en vector"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pagos-andreax-dev-text-embeddings-ec37c1a6/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from pagos.andreax.dev](https://www.zero.xyz/host/pagos.andreax.dev/llms.txt)