addrbookFor publishers
← The evidence ledger

Evidence row 122627

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://the-stall.intuitek.ai/cap/vision-analyze
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
5fe1beb0f7d93534deef7889dd654faae2a0d064b1d053151008bb5d22a866fe
Leaf
0xfbb828085998b0f13122238fa3daa688ad09de7ee7406290061516dbdf456187

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://the-stall.intuitek.ai/cap/vision-analyze"
    ]
  ],
  "name": "the-stall.intuitek.ai/cap/vision-analyze",
  "owner_address": "0x03d773c52b67993e60ecb3134b17436fe03b584c",
  "raw": {
    "accepts": [
      {
        "amount": "261000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x03d773c52B67993e60Ecb3134b17436fE03B584c",
        "scheme": "exact"
      }
    ],
    "description": "Analyze any image URL using GPT-4o-mini vision. Returns structured analysis based on the mode: describe (full description), ocr (text extraction), chart (data/trend extraction), ui (interface analysis), identify (object/subject ID), or qa (answer a specific question about the image). Input must be a publicly accessible image URL (JPEG, PNG, GIF, WebP). $0.261/call.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "url": "https://example.test/image.png"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "analysis": "example",
              "finish_reason": "example",
              "mode": "example",
              "model": "example",
              "tokens": {
                "completion": 1,
                "prompt": 1,
                "total": 1
              },
              "url": "example"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "anyOf": [
                    {
                      "required": [
                        "url"
                      ]
                    },
                    {
                      "required": [
                        "image_url"
                      ]
                    }
                  ],
                  "examples": [
                    {
                      "url": "https://example.test/image.png"
                    }
                  ],
                  "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"
                    },
                    "image_url": {
                      "description": "Alias for url. Supply url or image_url; when both are supplied, url takes precedence. Both supplied values must be valid HTTP(S) image URLs.",
                      "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"
        }
      }
    },
    "lastUpdated": "2026-10-24T17:19:15.637Z",
    "quality": {
      "l30DaysTotalCalls": 7,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-24T17:19:15.304Z"
    },
    "resource": "https://the-stall.intuitek.ai/cap/vision-analyze",
    "tags": [
      "vision",
      "image-analysis",
      "evidence",
      "multimodal"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Analyze any image URL using GPT-4o-mini vision. Returns structured analysis based on the mode: describe (full description), ocr (text extraction), chart (data/trend extraction), ui (interface analysis), identify (object/subject ID), or qa (answer a specific question about the image). Input must be a publicly accessible image URL (JPEG, PNG, GIF, WebP). $0.261/call."
}

What the leaf hashes

{"body":"5fe1beb0f7d93534deef7889dd654faae2a0d064b1d053151008bb5d22a866fe","id":122627,"kind":"listing","method":"baseline/1","observed_us":1793025621845284,"prev":null,"subject":"x402_bazaar:https://the-stall.intuitek.ai/cap/vision-analyze","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xfbb8308e142d107cf5489efef1e33dcc8f54572e4a4ac425e021387f880ee7c0
  2. 0x954a6108486a0917e03dc54cc60458e48a0174bfef0a2e6d90aca508e59f3ad6
  3. 0xe999dd6b271cb76d0e401d9ec24914ad36177b975447fd69e22d14595910f7c4
  4. 0xa034c33475d1fdecbba73de685343d559bf472fb2a76ad91a6443ee861b9a770
  5. 0x05d5b8a5afe380f1f37a66813a4c982ae232242f652f11e811ae53cee0f596a1
  6. 0x0113edda40a4dc6de5aa5c899e72fe77f50b5f2c3d28dfe92068fdc06946a53c
  7. 0x03baa2e524536e7b2c495370178c6507ec8455dc8924ed995b2a3d2d74904aed
  8. 0x2e382582569ea0330cad61490ff885eb60795ef2a75ca70b164c2381ef655bc7
  9. 0x8183990dab02ad23a9f5e7a2bc44f5c200aeecae546c5cce43a2c3de87f149e6
  10. 0x5a686e4901521125a8b452665ac2984aa9cdf4a4bb0c87e06113a6fe84429ad2
  11. 0xcf10f42f956ec0f58e8d60fb00e23c6415064b00d70e8566efe0f1b98e7e1d0a
  12. 0xf8173f36b7a27e1bb0f6961a49501bba1d99349c5e11449d0d557fbaa910be0a
  13. 0xbee644d57738676bfb20eb90d6021f364bf883a8d54f8d17e9dc4749b4074c3d
  14. 0x44945ea9ad8b24e723ad5a8fd6d014024a49531783f74ff9229c2ab6930e84c8
  15. 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
  16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
  17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON