← 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).
- 0xfbb8308e142d107cf5489efef1e33dcc8f54572e4a4ac425e021387f880ee7c0
- 0x954a6108486a0917e03dc54cc60458e48a0174bfef0a2e6d90aca508e59f3ad6
- 0xe999dd6b271cb76d0e401d9ec24914ad36177b975447fd69e22d14595910f7c4
- 0xa034c33475d1fdecbba73de685343d559bf472fb2a76ad91a6443ee861b9a770
- 0x05d5b8a5afe380f1f37a66813a4c982ae232242f652f11e811ae53cee0f596a1
- 0x0113edda40a4dc6de5aa5c899e72fe77f50b5f2c3d28dfe92068fdc06946a53c
- 0x03baa2e524536e7b2c495370178c6507ec8455dc8924ed995b2a3d2d74904aed
- 0x2e382582569ea0330cad61490ff885eb60795ef2a75ca70b164c2381ef655bc7
- 0x8183990dab02ad23a9f5e7a2bc44f5c200aeecae546c5cce43a2c3de87f149e6
- 0x5a686e4901521125a8b452665ac2984aa9cdf4a4bb0c87e06113a6fe84429ad2
- 0xcf10f42f956ec0f58e8d60fb00e23c6415064b00d70e8566efe0f1b98e7e1d0a
- 0xf8173f36b7a27e1bb0f6961a49501bba1d99349c5e11449d0d557fbaa910be0a
- 0xbee644d57738676bfb20eb90d6021f364bf883a8d54f8d17e9dc4749b4074c3d
- 0x44945ea9ad8b24e723ad5a8fd6d014024a49531783f74ff9229c2ab6930e84c8
- 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
- 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
- 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae