{"uid":"cap_NOghrfy-TMolM-QC9F1xR","slug":"gedx402-large-text-embedding-11fa8136","name":"GEDX402 Large Text Embedding","description":"x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.","url":"https://ged-x402-embed.jvalamis.workers.dev/v1/embed/large","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string"},"texts":{"type":"array","items":{"type":"string"}}}},"responseSchema":{"type":"json","example":{"data":[{"index":0,"embedding":[0.01,-0.02]}]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.018","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","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":"$0.018/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.018","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.018","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_BXRvG4BQ4hZiFDa9zd59u","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.018","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Generates large-model text embeddings (vector representations) for one or more strings, paid per-call with USDC via x402, no API key required.","exampleAgentPrompt":"Embed this sentence using the large model so I can store it in my vector database: 'The quick brown fox jumps over the lazy dog' — pay with USDC on Base via x402, no API key needed.","exampleUseCases":null,"resultDescription":"A JSON object containing a 'data' array where each element includes an 'index' and an 'embedding' field — the embedding is a float array (vector) representing the semantic content of the input text. For batch requests, one entry per input string.","failureModes":["Payment not received or insufficient USDC — returns 402 Payment Required","Invalid or missing text/texts fields — returns 400 Bad Request","Text input too long for model context window — returns 413 or model error","Unsupported payment network — payment rejected before processing","Workers AI backend unavailable — returns 503 or timeout"],"whenToPreferThis":"Choose this endpoint when you need high-quality large-model text embeddings without managing API keys, and you can pay per-call with USDC on Base, Polygon, Arbitrum, World, or Solana. Ideal for agents that need serverless, keyless embedding in RAG pipelines, semantic search, or vector storage workflows with transparent per-call pricing ($0.018 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:43:29.121Z","isFirstParty":false}