Generate text embeddings and semantic embedding vectors using OpenAI text-embedding-3-smal

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0xD0cB67aF1ADbF8982ED1Cd085cD4B845704609Ce",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "3000",
    "maxTimeoutSeconds": 300
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "payTo": "CBLvRo73JcDUcJUq7649YfNxp8cpY1rxuofNKoMnRP43",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "3000",
    "maxTimeoutSeconds": 300
  }
]

{
  "bazaar": {
    "info": {
      "input": {
        "body": {
          "input": "Semantic search for agent payments"
        },
        "bodyType": "json",
        "method": "POST",
        "type": "http"
      },
      "output": {
        "example": {
          "dimensions": 1536,
          "embeddings": [
            {
              "embedding": [
                0.0123,
                -0.0456,
                0.0789
              ],
              "index": 0
            }
          ],
          "endpoint": "/embeddings",
          "model": "text-embedding-3-small",
          "usage": {
            "promptTokens": 6,
            "totalTokens": 6
          }
        },
        "type": "json"
      }
    },
    "schema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "input": {
          "additionalProperties": false,
          "properties": {
            "body": {
              "properties": {
                "input": {
                  "oneOf": [
                    {
                      "type": "string"
                    },
                    {
                      "items": {
                        "type": "string"
                      },
                      "maxItems": 16,
                      "minItems": 1,
                      "type": "array"
                    }
                  ]
                }
              },
              "required": [
                "input"
              ]
            },
            "bodyType": {
              "enum": [
                "json",
                "form-data",
                "text"
              ],
              "type": "string"
            },
            "method": {
              "enum": [
                "POST"
              ],
              "type": "string"
            },
            "type": {
              "const": "http",
              "type": "string"
            }
          },
          "required": [
            "type",
            "method",
            "bodyType",
            "body"
          ],
          "type": "object"
        },
        "output": {
          "properties": {
            "example": {
              "type": "object"
            },
            "type": {
              "type": "string"
            }
          },
          "required": [
            "type"
          ],
          "type": "object"
        }
      },
      "required": [
        "input"
      ],
      "type": "object"
    }
  }
}

curl "https://scopeapi.dev/embeddings"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

const res = await fetch("https://scopeapi.dev/embeddings");
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}

import httpx
res = httpx.get("https://scopeapi.dev/embeddings")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header