{"uid":"cap_U1fUtmHtPp66nM-WCEac9","slug":"agishub-text-embedding-86554e4d","name":"AGISHub Text Embedding","description":"Turn text into a numeric embedding vector for semantic search, RAG and similarity. Multilingual.","url":"https://api.agishub.com/paid/embed","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input","output"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"type":"object","required":["text"],"properties":{"text":{"type":"string","minLength":1,"description":"Text to embed into a numeric vector for semantic search / RAG."}},"additionalProperties":false},"type":{"enum":["http"],"type":"string"},"method":{"enum":["POST"],"type":"string"},"bodyType":{"enum":["json"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","required":["type","example"],"properties":{"type":{"enum":["json"],"type":"string"},"example":{"type":"object"}},"additionalProperties":false}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Wjm3mqSH-sE0X5MoQGE6v","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Converts a text string into a numeric embedding vector for use in semantic search, RAG pipelines, and similarity matching, with multilingual support.","exampleAgentPrompt":"Can you embed this sentence into a vector for me so I can use it in my semantic search index: 'The quick brown fox jumps over the lazy dog'?","exampleUseCases":[{"title":"RAG pipeline document indexing","prompt":"I'm building a retrieval-augmented generation system — can you convert this passage into an embedding vector so I can store it in my vector database? The text is: 'Neural networks learn representations by backpropagating gradients through layers of weighted connections.'"},{"title":"Semantic similarity comparison","prompt":"I need to find which of my FAQ entries is most similar to this user question — can you turn the question 'How do I reset my password?' into an embedding vector so I can compare it against the stored ones?"},{"title":"Multilingual content vectorization","prompt":"Can you embed this Spanish sentence into a numeric vector for my multilingual search engine: 'El aprendizaje automático está transformando la industria tecnológica.'"}],"resultDescription":"A JSON object containing a numeric embedding vector (array of floats) representing the semantic content of the input text, suitable for use in vector databases, similarity calculations, or RAG retrieval pipelines.","failureModes":["Empty or missing 'text' query parameter returns a validation error","Text too long for the model's context window may be truncated or rejected","Network timeout for very long inputs","Payment failure via x402 protocol if USDC balance is insufficient","Malformed request returns 400 Bad Request"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-call embedding API with multilingual support and no subscription required. Ideal for agents that need on-demand vectorization without managing API keys for large embedding providers like OpenAI or Cohere.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:47:48.734Z","isFirstParty":false}