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GPUOps AI Inference Proxy - Embeddings
x402
GPUOps AI Inference Proxy - Embeddings is a paid API for AI agents from ai.gpuops.io, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Generates vector embeddings for input text using a selected model via an OpenAI-compatible API, with pay-per-call USDC billing on Base.
Price / call$0.001
Success—
StatusUnknown
How this service works
OpenAI-compatible AI inference API with 63 models. x402 pay-per-call with USDC on Base.
Output
Returns an OpenAI-compatible response object containing a list of embedding vectors (arrays of floating-point numbers), the model used, and token usage statistics. The embedding vector can be stored in a vector database or used directly for similarity computations.
Example use cases
Semantic search over product catalog
“Embed this search query so I can find the closest matching products in my vector database: 'wireless noise-cancelling headphones under $100' — use the best available embedding model on GPUOps.”
RAG pipeline document ingestion
“I'm building a retrieval-augmented generation system. Convert this paragraph into a vector embedding using text-embedding-ada-002: 'The Federal Reserve raised interest rates by 25 basis points in its March 2024 meeting, citing persistent inflation above the 2% target.'”
Customer review clustering
“Generate an embedding for this customer review so I can cluster it with similar feedback: 'Shipping was incredibly fast but the packaging was damaged when it arrived.' Use the most accurate embedding model available.”
Technical details
Endpoint
POSThttps://ai.gpuops.io/v1/embeddingsWhen to prefer
Choose this endpoint when you need pay-per-call embedding generation without a monthly subscription, want OpenAI API compatibility so you can drop it into existing RAG or semantic search pipelines, need access to a wide variety of embedding models (63 available), and prefer on-chain USDC micropayments on Base for transparent, programmatic billing.
Side effects
- Invalid or unsupported model name returns an error — must be one of the 63 supported models
- Empty or missing input text field causes a validation error
- Insufficient USDC balance or failed x402 payment results in a 402 Payment Required response
- Oversized input exceeding the model's context window returns a token limit error
- Network timeouts for very large inputs or under high server load
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | string | |
| model | string |
Tags
x402
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