Generate text embeddings using OpenAI text-embedding-3-small — for semantic search, cluste

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0x7dd5Be069f2d2eAd75eC7C3423B116fF043c2629",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "1000",
    "maxTimeoutSeconds": 300
  },
  {
    "scheme": "exact",
    "network": "eip155:4326",
    "payTo": "0x7dd5Be069f2d2eAd75eC7C3423B116fF043c2629",
    "asset": "0xFAfDdbb3FC7688494971a79cc65DCa3EF82079E7",
    "amount": "1000000000000000",
    "maxTimeoutSeconds": 300
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "payTo": "Gzehfseq1k9AcHFSoV7qHmDGQx92nLMw78XXdqVWQQWa",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "1000",
    "maxTimeoutSeconds": 300
  }
]

{
  "bazaar": {
    "info": {
      "input": {
        "body": {
          "text": "hello world",
          "texts": [
            "hello",
            "world"
          ]
        },
        "bodyType": "json",
        "method": "POST",
        "type": "http"
      }
    },
    "schema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "input": {
          "additionalProperties": false,
          "properties": {
            "body": {
              "additionalProperties": false,
              "anyOf": [
                {
                  "required": [
                    "text"
                  ]
                },
                {
                  "required": [
                    "texts"
                  ]
                }
              ],
              "properties": {
                "text": {
                  "description": "Single text to embed",
                  "example": "hello world",
                  "type": "string"
                },
                "texts": {
                  "description": "Array of texts to embed (1-100)",
                  "example": [
                    "hello",
                    "world"
                  ],
                  "items": {
                    "example": "hello",
                    "type": "string"
                  },
                  "maxItems": 100,
                  "minItems": 1,
                  "type": "array"
                }
              },
              "type": "object"
            },
            "bodyType": {
              "enum": [
                "json",
                "form-data",
                "text"
              ],
              "type": "string"
            },
            "method": {
              "enum": [
                "POST"
              ],
              "type": "string"
            },
            "type": {
              "const": "http",
              "type": "string"
            }
          },
          "required": [
            "type",
            "bodyType",
            "body",
            "method"
          ],
          "type": "object"
        }
      },
      "required": [
        "input"
      ],
      "type": "object"
    }
  }
}

curl "https://x402engine.app/api/embeddings"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

const res = await fetch("https://x402engine.app/api/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://x402engine.app/api/embeddings")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header