GEDX402 Qwen3 Text Embedding (0.6B) via x402 is a paid API for AI agents from ged-x402-embed.jvalamis.workers.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-14).
Generates vector embeddings for one or more text strings using the Qwen3-Embedding-0.6B model, paid per-call with USDC via x402 protocol — no API key required.
x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.
A JSON object containing a 'data' array where each element includes an 'index' and an 'embedding' field — the embedding being a float array representing the semantic vector of the input text. Supports single string or batch inputs.
GEThttps://ged-x402-embed.jvalamis.workers.dev/v1/embed/qwen3-embedding-0.6bChoose this endpoint when you need text embeddings on-demand without managing API keys or subscriptions, and you can pay per call in USDC via the x402 protocol on Base, Polygon, Arbitrum, World, or Solana. Ideal for agents in crypto-native environments, privacy-conscious pipelines, or serverless RAG workflows where credential management is a burden.
| Field | Type | Description |
|---|---|---|
| text | string | |
| texts | array |
{
"type": "json",
"example": {
"data": [
{
"index": 0,
"embedding": [
0.01,
-0.02
]
}
]
}
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