# GEDX402 PLaMo Embedding 1B

> GEDX402 PLaMo Embedding 1B is a paid API for AI agents from embed.gedx402.com, paid per call via x402, $0.0035/call, status unknown (last checked 2026-09-14).

Generates vector embeddings for text using the PLaMo 1B model, paid per-call with USDC via x402 protocol — no API key required.

## Facts

- Endpoint: GET https://embed.gedx402.com/v1/embed/plamo-embedding-1b
- Price: $0.0035/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/gedx402-plamo-embedding-1b-50a7718a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xxTK1RTNDM_WWacvMj0RS

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 gedx402-plamo-embedding-1b-50a7718a
```

Example prompt: Generate a PLaMo 1B embedding vector for this text: 'Quantum computing will revolutionize cryptography within the next decade' — pay with USDC on Base, no API key needed.

## When to prefer this

Choose this endpoint when you need PLaMo 1B embeddings without managing API keys or subscription accounts, and can pay per-call in USDC via the x402 protocol on a supported chain. Ideal for agent workflows needing lightweight, pay-as-you-go embedding with no credential management overhead.

## Known failure modes

- Payment not received or insufficient USDC balance — returns HTTP 402 Payment Required
- Invalid input: neither 'text' nor 'texts' provided — likely 400 Bad Request
- Model inference timeout for very long text inputs
- Network error connecting to embed.gedx402.com
- Unsupported blockchain network for payment — only Base, Polygon, Arbitrum, World, or Solana accepted

## How this service works

x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.

## Output

A JSON object containing a 'data' array where each element has an 'index' and an 'embedding' field (array of floats) representing the dense vector encoding of the input text. For batch inputs, one embedding per input string is returned.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "description": "UTF-8 text to embed (single string)."
  },
  "texts": {
   "type": "array",
   "items": {
    "type": "string"
   },
   "description": "Optional batch of strings to embed in one request."
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "data": [
   {
    "index": 0,
    "embedding": [
     0.01,
     -0.02
    ]
   }
  ]
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/gedx402-plamo-embedding-1b-50a7718a/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from embed.gedx402.com](https://www.zero.xyz/host/embed.gedx402.com/llms.txt)
