Evidence row 72141

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://cc0.company/api/store/agent-services/monet-gen/invoke"
    ]
  ],
  "name": "cc0.company/api/store/agent-services/monet-gen/invoke",
  "owner_address": "0xba816f0708a91a2cde866f70e931d93e83dd6ef5",
  "raw": {
    "accepts": [
      {
        "amount": "69000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 3600,
        "network": "eip155:8453",
        "payTo": "0xBA816F0708a91A2CDe866F70e931D93e83Dd6eF5",
        "scheme": "exact"
      }
    ],
    "description": "cc0.company — x402 agent-services marketplace on Base (USDC): CC0 image generation, market-data digests, and third-party agent tools. This endpoint: Monet Generator, French impressionist paintings in the Monet style. Water lilies, haystacks, Rouen Cathedral, gardens at Giverny, soft natural light and broken color. Fine-tuned on Art Institute of Chicago archival public-domain works. CC0 output. Async — returns a job_id to poll.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "prompt": "The image features water lilies on a serene pond at dawn, french impressionist painting with soft natural light."
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "job_id": "agentservicejob_xxxxxxxx",
              "message": "Generation started. Poll the job_id until status is 'succeeded'.",
              "poll_url": "https://cc0.company/api/store/agent-services/jobs/agentservicejob_xxxxxxxx",
              "status": "processing",
              "success": true
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "prompt": {
                      "description": "Text prompt describing the scene. Match the monet-gen caption register — see https://cc0.company/skill/monet-gen.md for canonical templates. Max 1000 characters.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "prompt"
                  ]
                },
                "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"
        }
      }
    },
    "lastUpdated": "2026-10-22T15:46:24.608Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-22T15:46:24.277Z"
    },
    "resource": "https://cc0.company/api/store/agent-services/monet-gen/invoke",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "cc0.company — x402 agent-services marketplace on Base (USDC): CC0 image generation, market-data digests, and third-party agent tools. This endpoint: Monet Generator, French impressionist paintings in the Monet style. Water lilies, haystacks, Rouen Cathedral, gardens at Giverny, soft natural light and broken color. Fine-tuned on Art Institute of Chicago archival public-domain works. CC0 output. Async — returns a job_id to poll."
}

What the leaf hashes

{"body":"01d5b33335fc6ed4c28602741ccb6fc1b7373bf8556113fda8769b2c6326c84e","id":72141,"kind":"listing","method":"baseline/1","observed_us":1793025485433980,"prev":null,"subject":"x402_bazaar:https://cc0.company/api/store/agent-services/monet-gen/invoke","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0x7c774ab37564a917b50ff3daf3f1dafa7af5dc94466874c40e9cc379a4cf940e
2. 0x1167aab57700e756f170e8872ac9e337225d3de4f047423fa76c91228e2ebceb
3. 0x252d3e4ed9e842d51f72e1592c47257234ae7323b1403d5390d16fe1031b3585
4. 0x19adeb4ff69de46c478208689969e1ed708e961d105946613f429bca17ebdd45
5. 0x73a469b3b73a283604af5805e9958c9e0bb318937528731f929627650b29beed
6. 0x96d193d8837993cbff382b3e9963ea650b4630a4b1dd946dab2db076983682ac
7. 0xb461c915801b2d912cb13f5ca9742cc043fccfd6dc265430c89ecc45d7e1faea
8. 0xdddeeb3f2c46650aa1f7e44d2e77a5a8be261a1f9cd78a02dc6d34e5b9ceb665
9. 0x61aee832c893156dbde012f675e5d5120e4a1a74802d845d9247f671077c5a46
10. 0x0c3432fd40f1f8418cebc1fc547110c754897d4ba829a0e95408b105a7ebe118
11. 0x2c4bc324cca0a9cf9acc1b58f29ce72853140e0ac2b1e69e9b827dfe71904616
12. 0x779c77295186b32da6387dfb36d3a76522e7d713472a7cebed7c93529ccc4be6
13. 0x0bffb634300aa5609bddaa79e8d31d7cde36c0a5a4465472f809b9f5287e40d2
14. 0x7721d38652b6444b18e1193824e50490ade04851ce6221771f6e374c4527d80f
15. 0x15039087bf60ae9b06b756ec3cbc299760e59923a438bbd91e34d105186db0ed
16. 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae