{"uid":"cap_5DT13gvI6IWJ8ZJR3m37h","slug":"ishob-text-embedding-api-62ede269","name":"ISHOB Text Embedding API","description":"36 MCP tools & x402 pay-per-call APIs for AI agents: crypto risk, web extraction, screenshots, agent alarms, weather, company data. No API key.","url":"https://api.ishob.com/v1/embed?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"input":{"type":"array","items":{"type":"string"},"maxItems":100,"description":"Text or list of texts (a single string is also accepted)"},"model":{"enum":["bge-small-en-v1.5","bge-m3"],"type":"string","default":"bge-small-en-v1.5"}}},"responseSchema":{"type":"json","example":{"count":2,"model":"bge-small-en-v1.5","dimensions":384,"embeddings":[[0.012,-0.044,"..."],["..."]]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.0002","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":"$0.0002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Qjp7ALojweXFTBt7UfNa4","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Converts text strings into dense vector embeddings using BGE models, suitable for semantic search, clustering, and RAG pipelines","exampleAgentPrompt":"Embed these three sentences using the bge-small-en-v1.5 model so I can store them in my vector database: 'The sky is blue.', 'Water is wet.', 'Fire is hot.'","exampleUseCases":[{"title":"RAG pipeline document ingestion","prompt":"I need to vectorize these 50 text chunks from my product documentation so I can load them into Pinecone for semantic search — use the bge-small-en-v1.5 model."},{"title":"Multilingual semantic similarity","prompt":"Embed these five sentences in different languages using the bge-m3 model so I can find which ones are semantically closest to my English query."},{"title":"Duplicate question detection","prompt":"Convert these 20 user support questions into embeddings with bge-small-en-v1.5 so I can cluster them and identify which ones are asking the same thing."}],"resultDescription":"Returns a JSON object containing the number of embedded texts, the model used, the vector dimensionality (e.g. 384 for bge-small-en-v1.5), and an array of float arrays where each inner array is the embedding vector for the corresponding input text.","failureModes":["Input array exceeds 100 items — returns validation error","Model enum value not recognized — returns 400 bad request","Payment not included or insufficient — returns 402 Payment Required","Empty input array — may return empty embeddings array or validation error","Very long individual strings may be truncated or cause timeout"],"whenToPreferThis":"Choose this endpoint when you need low-cost ($0.0002 USDC), key-free, pay-per-call text embeddings via the x402 micropayment protocol, particularly when already operating within the ISHOB agent ecosystem. Prefer bge-small-en-v1.5 for fast English-only workloads (384 dimensions) and bge-m3 for multilingual or cross-lingual tasks. Good fit for agents that need embeddings on demand without managing API keys or subscriptions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T12:37:10.762Z","isFirstParty":false,"canonicalSlug":"ishob-text-embedding-api-62ede269"}