Analyze any image URL using GPT-4o-mini vision

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0x03d773c52B67993e60Ecb3134b17436fE03B584c",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "50000",
    "maxTimeoutSeconds": 300
  }
]

{
  "bazaar": {
    "info": {
      "input": {
        "method": "GET",
        "queryParams": {},
        "type": "http"
      },
      "output": {
        "example": {
          "analysis": "example",
          "finish_reason": "example",
          "mode": "example",
          "model": "example",
          "tokens": {
            "completion": 1,
            "prompt": 1,
            "total": 1
          },
          "url": "example"
        },
        "type": "json"
      }
    },
    "schema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "input": {
          "additionalProperties": false,
          "properties": {
            "method": {
              "enum": [
                "GET"
              ],
              "type": "string"
            },
            "queryParams": {
              "properties": {
                "detail": {
                  "default": "auto",
                  "description": "OpenAI vision detail level. 'auto' (default): model decides based on image size. 'low': faster, cheaper, less detail (best for simple images). 'high': slower, more detail (best for charts, dense text, complex scenes).",
                  "enum": [
                    "low",
                    "high",
                    "auto"
                  ],
                  "type": "string"
                },
                "mode": {
                  "default": "describe",
                  "description": "Analysis mode: describe (full scene description), ocr (text extraction), chart (data/chart analysis), ui (UI screenshot analysis), identify (object/subject identification), qa (answer a specific question about the image — requires the 'question' parameter).",
                  "enum": [
                    "describe",
                    "ocr",
                    "chart",
                    "ui",
                    "identify",
                    "qa"
                  ],
                  "type": "string"
                },
                "question": {
                  "description": "For mode=qa only: the specific question to answer about the image. E.g., 'What is the total revenue shown in Q3?' or 'What does the error message say?'",
                  "maxLength": 500,
                  "type": "string"
                },
                "url": {
                  "description": "Publicly accessible URL of the image to analyze. Must return image/jpeg, image/png, image/gif, or image/webp content-type. Max file size: 20MB.",
                  "type": "string"
                }
              },
              "required": [],
              "type": "object"
            },
            "type": {
              "const": "http",
              "type": "string"
            }
          },
          "required": [
            "type",
            "method"
          ],
          "type": "object"
        },
        "output": {
          "properties": {
            "example": {
              "properties": {
                "analysis": {
                  "description": "AI-generated analysis of the image based on the selected mode.",
                  "type": "string"
                },
                "finish_reason": {
                  "description": "OpenAI finish reason (stop, length, content_filter).",
                  "type": "string"
                },
                "mode": {
                  "description": "The analysis mode that was applied.",
                  "type": "string"
                },
                "model": {
                  "description": "OpenAI model used for analysis.",
                  "type": "string"
                },
                "tokens": {
                  "properties": {
                    "completion": {
                      "type": [
                        "integer",
                        "null"
                      ]
                    },
                    "prompt": {
                      "type": [
                        "integer",
                        "null"
                      ]
                    },
                    "total": {
                      "type": [
                        "integer",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                },
                "url": {
                  "description": "The image URL that was analyzed.",
                  "type": "string"
                }
              },
              "type": "object"
            },
            "type": {
              "type": "string"
            }
          },
          "required": [
            "type"
          ],
          "type": "object"
        }
      },
      "required": [
        "input"
      ],
      "type": "object"
    }
  }
}

curl "https://the-stall.intuitek.ai/cap/vision-analyze"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

const res = await fetch("https://the-stall.intuitek.ai/cap/vision-analyze");
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://the-stall.intuitek.ai/cap/vision-analyze")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header