{"uid":"cap_y_0sLSinZ_TSmBOF9ltZd","slug":"openai-text-embedding-3-large-via-mm-family-x402-e2487aea","name":"OpenAI text-embedding-3-large (via mm.family x402)","description":"text-embedding-3-large: OpenAI Text Embedding 3 Large embeddings, paid per call in USDC. OpenAI list $0.13 per 1M input tokens, plus $0.0005 (Base) or $0.0005 (Solana) per call; minimum $0.001 per call; up to 8192 tokens per input. Standard OpenAI body. Rates: https://openai.mm.family/x402/pricing","url":"https://openai.mm.family/x402/v1/models/text-embedding-3-large/embeddings?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"input":{"type":["string","array"]},"model":{"enum":["text-embedding-3-large"],"type":"string"},"dimensions":{"type":"integer"},"encoding_format":{"enum":["float","base64"],"type":"string"}}},"responseSchema":{"type":"json","example":{"data":[{"index":0,"object":"embedding","embedding":[0.01,-0.02]}],"model":"text-embedding-3-large","usage":{"total_tokens":1,"prompt_tokens":1},"object":"list"}},"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_eaF-4rGhQAvbZsYGfxPWs","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 high-dimensional vector embeddings for text using OpenAI's text-embedding-3-large model, billed per call in USDC via x402 micropayments.","exampleAgentPrompt":"Embed this sentence using text-embedding-3-large and return the float vector: 'The quick brown fox jumps over the lazy dog'.","exampleUseCases":[{"title":"Semantic search index population","prompt":"I need to embed all these product descriptions using text-embedding-3-large so I can store them in my vector database for semantic search — can you generate float embeddings for each one?"},{"title":"RAG pipeline document encoding","prompt":"For my RAG pipeline, embed this paragraph using text-embedding-3-large with 1536 dimensions so I can retrieve it later: 'Our return policy allows exchanges within 30 days of purchase.'"},{"title":"Sentence similarity scoring","prompt":"Generate text-embedding-3-large embeddings for these two sentences so I can compute their cosine similarity: 'I love machine learning' and 'AI is my passion'."}],"resultDescription":"Returns a JSON object containing an array of embedding objects, each with an index, object type 'embedding', and the embedding as a float (or base64-encoded) array. Also includes the model name used and token usage counts (prompt_tokens, total_tokens).","failureModes":["Input exceeds 8192 token limit — request rejected","Insufficient USDC balance for x402 payment — 402 Payment Required","Invalid model field value (must be 'text-embedding-3-large') — 400 Bad Request","Malformed input type (not string or array) — 400 validation error","Invalid encoding_format value — 400 Bad Request","Network timeout or provider outage — 5xx error"],"whenToPreferThis":"Choose this endpoint when you need high-quality, large-dimensional text embeddings from OpenAI's best embedding model and want to pay per call in USDC without a subscription. Prefer it over text-embedding-3-small when embedding quality and recall matter more than cost. Ideal for RAG pipelines, semantic search, document clustering, and similarity tasks requiring OpenAI's state-of-the-art embedding model with x402 micropayment support.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:42:19.016Z","isFirstParty":false,"canonicalSlug":"openai-text-embedding-3-large-via-mm-family-x402-e2487aea"}