{"uid":"cap_wOhxl2TvQLcnbUOon-5ou","slug":"jarvisclaw-embeddings-api-647c603b","name":"JarvisClaw Embeddings API","description":"AI API Gateway with smart routing, pay per call via x402. OpenAI-compatible. Settled in USDC on Base & Solana.","url":"https://uat.jarvisclaw.ai/v1/embeddings","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.045","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":"$0.045/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.045","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.045","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_R1SEd4F3s44VnmOBG59kc","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.045","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Converts text into vector embeddings using an OpenAI-compatible API gateway, paid per call via x402 in USDC on Base or Solana.","exampleAgentPrompt":"Embed the text 'The quick brown fox jumps over the lazy dog' using the text-embedding-3-small model through JarvisClaw so I can store it in my vector database.","exampleUseCases":[{"title":"RAG pipeline document ingestion","prompt":"Embed this product description — 'Wireless noise-cancelling headphones with 30-hour battery life and premium sound' — using text-embedding-ada-002 so I can store it in my Pinecone index for retrieval-augmented generation."},{"title":"Semantic search over support tickets","prompt":"Turn this customer complaint into a vector embedding using JarvisClaw's embeddings endpoint with text-embedding-3-small: 'My order arrived damaged and the packaging was completely crushed.'"},{"title":"Document similarity scoring","prompt":"I need to embed these two sentences so I can compare their cosine similarity — first: 'How do I reset my password?' and second: 'Steps to recover account access' — use text-embedding-3-large."}],"resultDescription":"Returns an OpenAI-compatible JSON response containing the embedding vector (array of floats) for the input text, along with the model used and token usage statistics.","failureModes":["Payment failure if insufficient USDC balance — returns 402 Payment Required","Invalid or unsupported model name — returns 400 Bad Request","Empty or missing input text — returns 400 Bad Request","Rate limiting if request volume exceeds gateway limits — returns 429 Too Many Requests","Service unavailability on UAT environment — returns 503 Service Unavailable"],"whenToPreferThis":"Choose this endpoint when you need OpenAI-compatible text embeddings with pay-per-call crypto billing (USDC on Base or Solana via x402), avoiding subscription commitments. Ideal for agents operating in Web3-native stacks or when you want decentralized, metered AI infrastructure. Not recommended for production workloads given the UAT subdomain.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:43:29.653Z","isFirstParty":false}