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GEDX402 Large Text Embedding
x402
GEDX402 Large Text Embedding is a paid API for AI agents from ged-x402-embed.jvalamis.workers.dev, paid per call via x402, $0.018/call, status unknown (last checked 2026-09-15).
Generates large-model text embeddings (vector representations) for one or more strings, paid per-call with USDC via x402, no API key required.
Price / call$0.018
Success—
StatusUnknown
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 includes an 'index' and an 'embedding' field — the embedding is a float array (vector) representing the semantic content of the input text. For batch requests, one entry per input string.
Example use cases
Example prompt
“Embed this sentence using the large model so I can store it in my vector database: 'The quick brown fox jumps over the lazy dog' — pay with USDC on Base via x402, no API key needed.”
Technical details
Endpoint
GEThttps://ged-x402-embed.jvalamis.workers.dev/v1/embed/largeWhen to prefer
Choose this endpoint when you need high-quality large-model text embeddings without managing API keys, and you can pay per-call with USDC on Base, Polygon, Arbitrum, World, or Solana. Ideal for agents that need serverless, keyless embedding in RAG pipelines, semantic search, or vector storage workflows with transparent per-call pricing ($0.018 USDC).
Side effects
- Payment not received or insufficient USDC — returns 402 Payment Required
- Invalid or missing text/texts fields — returns 400 Bad Request
- Text input too long for model context window — returns 413 or model error
- Unsupported payment network — payment rejected before processing
- Workers AI backend unavailable — returns 503 or timeout
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| texts | array |
Output
Schema · Response
{
"type": "json",
"example": {
"data": [
{
"index": 0,
"embedding": [
0.01,
-0.02
]
}
]
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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