{"uid":"cap_YImYJN1io67r4S_D14g5W","slug":"zero-jigsaw-zclk-cc-embedding-3b3e72b1","name":"JigsawStack Multimodal Vector Embedding","description":"Vector embedding for text/image/audio/pdf inputs (JigsawStack multimodal).","url":"https://zero-jigsaw.zclk.cc/v1/embedding?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"object"},"example":null,"exampleRequest":null,"tags":[],"displayCostAmount":"unknown","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"unknown_unparsed","priceSource":"unknown","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"down","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"unknown","summary":"price unknown","primary":null,"accepted":[]},"paymentMethods":[],"brandName":"zero-jigsaw.zclk.cc","brandSlug":"zero-jigsaw-zclk-cc","brandBaseUrl":"https://zero-jigsaw.zclk.cc","brandDocsUrl":null,"whatItDoes":"Generates vector embeddings from text, image, audio, or PDF inputs for semantic search, similarity, and retrieval use cases.","exampleAgentPrompt":"Generate a vector embedding for this product description text so I can store it in my vector database and use it for semantic similarity search: 'Lightweight running shoes with breathable mesh upper and responsive foam cushioning, ideal for road running.'","exampleUseCases":null,"resultDescription":"Returns a JSON object containing the vector embedding as an array of floating-point numbers representing the semantic encoding of the provided input (text, image, audio, or PDF), ready for use in similarity search, clustering, or retrieval systems.","failureModes":["Unsupported input modality returns an error","Image or audio URL is inaccessible or returns non-200 — embedding fails","PDF exceeds size limits — processing error returned","Input text is empty or null — validation error","Network timeout on large audio or PDF files","Invalid URL format for media inputs"],"whenToPreferThis":"Choose this endpoint when you need multimodal vector embeddings across text, image, audio, and PDF in a single unified API, especially in a pay-per-call context settled via USDC. Prefer over OpenAI/Cohere embeddings when you need non-text modalities or want micropayment-based billing without subscription overhead.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:35:00.140Z","isFirstParty":false,"canonicalSlug":"zero-jigsaw-zclk-cc-embedding-3b3e72b1"}