{
  "generated_at": "2026-04-24T15:01:35.625676+00:00",
  "slug": "flows-litprotocol-com-api-flows-embeddings-invoke",
  "title": "Lit Protocol \u00b7 PDF Embeddings Generation",
  "url": "https://flows.litprotocol.com/api/flows/embeddings/invoke",
  "category": "ai",
  "summary": "Generate vector embeddings from PDF documents using specified model configuration.",
  "seo": {
    "title": "PDF Embeddings API | Lit Protocol x402 0.02 USDC",
    "description": "Generate embeddings from PDF documents via Lit Protocol. Submit base64 PDF and model config for vector representation."
  },
  "use_cases": [
    "Index PDF documents for semantic search",
    "Build RAG pipelines with document embeddings",
    "Convert scanned documents to searchable vectors"
  ],
  "ideal_buyer": "RAG application developers and document processing pipelines needing PDF-to-embedding conversion.",
  "example_prompt": "Generate embeddings from this PDF document using the default embedding model.",
  "example_request_body": {
    "input": {
      "chunk_size": 1000
    },
    "model": {
      "name": "text-embedding-3-small"
    },
    "pdf_base64": "JVBERi0xLjQK..."
  },
  "risk_notes": [],
  "pricing_sanity": {
    "flag": "normal",
    "ratio": 1,
    "median_category_atomic": 20000
  },
  "pricing_review_required": false,
  "pricing_decimal_suspect": false,
  "trust_tier": "indexed_external",
  "accepts": [
    {
      "scheme": "exact",
      "network": "base",
      "pay_to": "0x36e721cf21faf0006268a9e2d192abf6c6e34774",
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "max_amount_required_atomic": "20000",
      "max_timeout_seconds": 300,
      "verified": false,
      "hints": {
        "input": {
          "body": {
            "type": "object",
            "required": [
              "input",
              "pdf_base64",
              "model"
            ],
            "properties": {
              "input": {
                "type": "object"
              },
              "model": {
                "type": "object"
              },
              "pdf_base64": {
                "type": "object"
              }
            }
          },
          "method": "POST"
        }
      }
    }
  ],
  "origin": {
    "slug": "flows-litprotocol-com",
    "host": "flows.litprotocol.com",
    "title": "Lit Protocol Flows: Monetize Agent-Callable Code",
    "description": "A platform for developers to publish code that AI agents can discover and call. Hosts x402-payable endpoints where agents pay per execution.",
    "url": "https://flows.litprotocol.com",
    "favicon": "https://flows.litprotocol.com/favicon.svg"
  },
  "json_ld": {
    "@id": "https://x402all.com/resource/flows-litprotocol-com-api-flows-embeddings-invoke",
    "url": "https://x402all.com/resource/flows-litprotocol-com-api-flows-embeddings-invoke",
    "name": "Lit Protocol \u00b7 PDF Embeddings Generation",
    "@type": "WebAPI",
    "offers": {
      "url": "https://x402all.com/resource/flows-litprotocol-com-api-flows-embeddings-invoke",
      "@type": "Offer",
      "price": "0.02",
      "availability": "https://schema.org/InStock",
      "priceCurrency": "USDC",
      "priceSpecification": {
        "@type": "UnitPriceSpecification",
        "price": "0.020000",
        "unitText": "call",
        "priceCurrency": "USDC"
      },
      "eligibleCustomerType": "Agent",
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "paymentNetwork",
          "value": "base"
        },
        {
          "@type": "PropertyValue",
          "name": "paymentAsset",
          "value": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
        }
      ]
    },
    "sameAs": "https://flows.litprotocol.com/api/flows/embeddings/invoke",
    "@context": "https://schema.org",
    "provider": {
      "@id": "https://x402all.com/server/flows-litprotocol-com",
      "url": "https://flows.litprotocol.com",
      "name": "Lit Protocol Flows: Monetize Agent-Callable Code",
      "@type": "Organization"
    },
    "identifier": "flows-litprotocol-com-api-flows-embeddings-invoke",
    "description": "Generate embeddings from PDF documents via Lit Protocol. Submit base64 PDF and model config for vector representation.",
    "potentialAction": {
      "@type": "BuyAction",
      "target": "https://axon402.com/test-buy?resource=flows-litprotocol-com-api-flows-embeddings-invoke",
      "description": "Test-buy this endpoint on AXON"
    },
    "applicationCategory": "ai"
  },
  "axon_deep_link": "https://axon402.com/test-buy?resource=flows-litprotocol-com-api-flows-embeddings-invoke"
}
