{"uid":"cap_ro-n-XTsmoBAiDXLBqaEs","slug":"combify-compute-text-embedding-f3a307be","name":"Combify Compute Text Embedding","description":"Semantic search building block: turns text into a 1024-number vector for RAG retrieval, dedup, and clustering (bge-m3), fixed price $0.005 USDC. Use this when comparing meaning between texts, not for answers (use /chat) or translation (use /translate). POST JSON body {text (required, max 8000 chars)}. Returns {embedding, dimensions}. Unpaid calls get 402; paid calls settle only on success.","url":"https://compute.combify.app/embed?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","description":"Text to embed, max 8000 chars"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","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":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ObJnQ9c42mBvUJ6k6P-Ig","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Converts input text into a 1024-dimensional vector embedding (bge-m3) for semantic search, deduplication, and clustering tasks","exampleAgentPrompt":"Turn this paragraph into a semantic embedding vector using bge-m3 so I can compare it against my knowledge base for RAG retrieval: 'Climate change is accelerating the melting of Arctic ice sheets at an unprecedented rate.'","exampleUseCases":[{"title":"RAG pipeline document indexing","prompt":"Embed this chunk of text so I can store it in my vector database for RAG retrieval: 'The quarterly earnings showed a 12% increase in revenue driven by cloud services growth.'"},{"title":"Duplicate content detection","prompt":"Generate a 1024-dimension embedding for this product description so I can compare it against my catalog and flag any near-duplicate listings: 'Wireless noise-cancelling headphones with 30-hour battery life and foldable design.'"},{"title":"Semantic clustering of customer feedback","prompt":"Vectorize this customer review so I can cluster it with similar feedback: 'The onboarding process was confusing and took way longer than expected.'"}],"resultDescription":"Returns a JSON object containing an `embedding` field (array of 1024 floating-point numbers representing the semantic meaning of the input text) and a `dimensions` field (integer value 1024 confirming vector size). Paid at $0.005 USDC per call; unpaid calls return HTTP 402.","failureModes":["402 Payment Required — no valid x402 payment header provided","Text exceeds 8000 character limit — request rejected","Empty or missing `text` field — validation error","Model inference timeout for very long inputs near the character limit","Network errors reaching compute.combify.app"],"whenToPreferThis":"Choose this endpoint when you need to compare semantic meaning between texts — for building RAG retrieval pipelines, deduplicating documents, or clustering text by topic. Do not use it for question answering (use /chat), translation (use /translate), sentiment classification, image understanding, or speech transcription. Prefer this over generic embedding APIs when you need a fixed-price, pay-per-call USDC-settled embedding with bge-m3 quality in an x402-compatible workflow.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T12:35:13.792Z","isFirstParty":false,"canonicalSlug":"combify-compute-text-embedding-f3a307be"}