# GEDX402 Qwen3 Embedding 0.6B

> GEDX402 Qwen3 Embedding 0.6B is a paid API for AI agents from embed.gedx402.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-14).

Generates text embeddings using the Qwen3-0.6B model, payable per-call with USDC on multiple chains via x402 — no API key required.

## Facts

- Endpoint: GET https://embed.gedx402.com/v1/embed/qwen3-embedding-0.6b
- Price: $0.003/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/gedx402-qwen3-embedding-0-6b-eabf0b2b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_A2DL5L_rDr6OKceFRFMjh

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-qwen3-embedding-0-6b-eabf0b2b
```

Example prompt: Embed this sentence using the Qwen3-0.6B model so I can run a similarity search: 'The quick brown fox jumps over the lazy dog'. Pay the $0.003 USDC fee automatically.

## When to prefer this

Choose this endpoint when you need Qwen3-0.6B text embeddings without registering for an API key, and are comfortable paying $0.003 USDC per call via x402 on Base, Polygon, Arbitrum, World, or Solana. Ideal for crypto-native agents, serverless pipelines, or scenarios where API key management is undesirable.

## Known failure modes

- Payment not received or insufficient USDC balance — HTTP 402 returned
- Invalid or missing 'text' field — malformed request error
- Text too long for model context window — truncation or error
- Network or Cloudflare Workers AI backend failure — HTTP 500
- Unsupported chain or wallet address format — payment rejected

## How this service works

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

## Output

A JSON object with a 'data' array, where each element contains an 'index' and an 'embedding' field — the embedding is a dense float array representing the semantic content of the input text. Supports single string or batch inputs.

## 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-qwen3-embedding-0-6b-eabf0b2b/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)