{"uid":"cap_zUqQ6PvDKIEjeBNzg9i7I","slug":"gpuops-ai-inference-proxy-embeddings-af6010ae","name":"GPUOps AI Inference Proxy - Embeddings","description":"OpenAI-compatible AI inference API with 63 models. x402 pay-per-call with USDC on Base.","url":"https://ai.gpuops.io/v1/embeddings","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"input":{"type":"string"},"model":{"type":"string"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_601Bk3NSrxZuUzMNllIAS","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Generates vector embeddings for input text using a selected model via an OpenAI-compatible API, with pay-per-call USDC billing on Base.","exampleAgentPrompt":"Turn this product description into a text embedding using the text-embedding-3-small model: 'Handcrafted leather wallet with RFID blocking, 6 card slots, and a slim profile.'","exampleUseCases":[{"title":"Semantic search over product catalog","prompt":"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."},{"title":"RAG pipeline document ingestion","prompt":"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.'"},{"title":"Customer review clustering","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T12:34:16.241Z","isFirstParty":false}