Evidence row 62767

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agents.citiviewgroup.com/v1/glm5/chat/completions"
    ]
  ],
  "name": "Citiview Agent Market",
  "owner_address": "0xd2bc1daa83f64729bfb3f825e690f3fce13e1aa2",
  "raw": {
    "accepts": [
      {
        "amount": "18079",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2",
        "scheme": "exact"
      },
      {
        "amount": "18079",
        "asset": "0x60a3E35Cc302bFA44Cb288Bc5a4F316Fdb1adb42",
        "extra": {
          "name": "EURC",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2",
        "scheme": "exact"
      },
      {
        "amount": "18079",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:137",
        "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2",
        "scheme": "exact"
      },
      {
        "amount": "18079",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:42161",
        "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2",
        "scheme": "exact"
      },
      {
        "amount": "18079",
        "asset": "0x79A02482A880bCE3F13e09Da970dC34db4CD24d1",
        "extra": {
          "name": "USDC",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:480",
        "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2",
        "scheme": "exact"
      },
      {
        "amount": "18079",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "assetTransferMethod": "permit2",
          "facilitatorAddress": "0x67B9CE703d9ce658d7C4ac3c289cEa112fE662Af",
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2",
        "scheme": "upto"
      },
      {
        "amount": "18079",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "assetTransferMethod": "permit2",
          "facilitatorAddress": "0x68EFaFE862d89cE66dd3D7B07d5A3747A0871164",
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2",
        "scheme": "upto"
      },
      {
        "amount": "18079",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "assetTransferMethod": "permit2",
          "facilitatorAddress": "0x64cC42B1cE598e3aBcfBB64Df4688521DDBf1f0A",
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:42161",
        "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2",
        "scheme": "upto"
      }
    ],
    "description": "OpenAI-compatible chat completions on Zhipu GLM-5.3, frontier reasoning with tool calling and a 1M-token context. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/glm5 and pay per token with x402 instead of an API key: $2.8 per million input and $8.8 per million output tokens, minimum $0.002 a call, at most $0.2322. The 402 quotes your request's maximum; \"upto\" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling, rea",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "prompt": "Say hello in French."
            },
            "type": "http"
          },
          "output": {
            "example": {
              "choices": [
                {
                  "finish_reason": "stop",
                  "index": 0,
                  "message": {
                    "content": "Bonjour !",
                    "role": "assistant"
                  }
                }
              ],
              "id": "chatcmpl-...",
              "model": "glm-5.3",
              "object": "chat.completion",
              "usage": {
                "completion_tokens": 4,
                "prompt_tokens": 14,
                "total_tokens": 18
              }
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "max_tokens": {
                      "type": "integer"
                    },
                    "prompt": {
                      "description": "User message",
                      "type": "string"
                    },
                    "system": {
                      "description": "Optional system message",
                      "type": "string"
                    },
                    "temperature": {
                      "type": "number"
                    }
                  },
                  "required": [
                    "prompt"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1791910960/bazaar-icons/3353556b4881df8e.png",
    "lastUpdated": "2026-10-14T17:05:01.488Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-14T17:05:01.34Z"
    },
    "resource": "https://agents.citiviewgroup.com/v1/glm5/chat/completions",
    "serviceName": "Citiview Agent Market",
    "tags": [
      "llm",
      "chat",
      "openai-compatible",
      "inference",
      "glm-5.3"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "OpenAI-compatible chat completions on Zhipu GLM-5.3, frontier reasoning with tool calling and a 1M-token context. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/glm5 and pay per token with x402 instead of an API key: $2.8 per million input and $8.8 per million output tokens, minimum $0.002 a call, at most $0.2322. The 402 quotes your request's maximum; \"upto\" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling, rea"
}

What the leaf hashes

{"body":"ce8b025e590c06a65cca0662d055c83f6ffb5888d2b849be832a953cd373d219","id":62767,"kind":"listing","method":"baseline/1","observed_us":1793025453651449,"prev":null,"subject":"x402_bazaar:https://agents.citiviewgroup.com/v1/glm5/chat/completions","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. 0x52fd5471c514de5a9ec4ff4472ae9b2c11813b245aed25dcd3febff331fd8287
2. 0x43e91c74e2d31fe92a103d6f373d8cce2340ade49f6fdb37f2cd47ee558a7861
3. 0x58bbb258e08ee48d2e7b5c10192e5f3ed849082f2a5f8b0fd9637c623fb7beb3
4. 0x03bd16d9f186a53cab17584c1984afcffb1da375a63862b1c274c610f4198c6e
5. 0x7d9e7def3ef6903ac00631c30c67ff630a9837340ef1c6cdf8cc318946b82c18
6. 0x1d2fd1cdf961e8ebd164650d4c6b8a386c744908153dc1babb9fc246bed8b5ea
7. 0xfa3d35a26be1591001ab36e612edfefa88b564ac5f5daeb695069b3e5f0f1a0f
8. 0x82c49e583751a4bfde817c5c4ece3737ede9d783674314d506e27334ca62ae08
9. 0xe47c706093c519af3f971455b74f1c450f524054e64337cda55a106bf57363e5
10. 0x72bd13c090ca80e7870affede013ba3445a9ce90177c8d0abe389b26f526682c
11. 0x11ae5fc5d08fb7b25beace35e67656980e21edfc94e809110b5b9ecae306b6c8
12. 0x94dd4ed7cf198df741ccda83eacc422aadb31119fc6e84c4a6d2f023453b7960
13. 0xd830c52e1e8095e014510110592485afcb02b9c9a36f85653e4891a8de941246
14. 0x0733993143f0230e79482cef2c38e95d98f9eafbe64a43cdc74a4545938a4167
15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae