{"uid":"cap_HrPk0wRdPj8lgr7BrmI50","slug":"gedx402-plamo-embedding-1b-ba9ed9a1","name":"GEDX402 PLaMo Embedding 1B","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/plamo-embedding-1b","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":"0.0035","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":"$0.0035/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0035","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0035","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_tvR2T7ERDrMRWZufqRP6l","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0035","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Generates vector embeddings for text using the PLaMo-Embedding-1B model, paid per-call with USDC via x402 protocol on multiple blockchains","exampleAgentPrompt":"Embed this sentence for me so I can do a similarity search: 'The quick brown fox jumps over the lazy dog' — use the PLaMo embedding model and pay with USDC.","exampleUseCases":null,"resultDescription":"A JSON object with a 'data' array containing objects with 'index' and 'embedding' fields — the embedding is a float array representing the semantic vector of the input text. For batch inputs, multiple embedding objects are returned, each indexed by position.","failureModes":["Payment not sent or insufficient USDC — returns HTTP 402 requiring payment","Text input exceeds model's context window — returns error about input length","Invalid JSON body or missing both 'text' and 'texts' fields — returns 400 bad request","Blockchain network congestion causing payment verification delay — timeout or retry needed","Unsupported chain used for payment — payment rejected"],"whenToPreferThis":"Choose this endpoint when you need text embeddings without setting up API keys or accounts — ideal for AI agents that can pay USDC micropayments via x402 on Base, Polygon, Arbitrum, World, or Solana. Particularly useful for RAG pipelines, semantic search, or vector database ingestion where permissionless pay-per-use billing is preferred over subscription APIs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T18:30:30.562Z","isFirstParty":false}