Evidence row 561225

What was observed

{
  "count": 7,
  "tools": [
    {
      "description": "查某张 GPU 过去 30 天每日价格序列：每日全平台最低价、当日市场中位价、最低价来自哪个平台、库存状态、当日报价家数。示例: gpu_history(gpu='H100 80GB', limit=7) → 2026-10-20 最低 8.28 元（paperspace）、中位 23.04、有货、9 家报价。按次计费 $0.05 USDC。",
      "inputSchema": {
        "properties": {
          "gpu": {
            "title": "Gpu",
            "type": "string"
          },
          "limit": {
            "default": 30,
            "title": "Limit",
            "type": "integer"
          }
        },
        "required": [
          "gpu"
        ],
        "title": "gpu_historyArguments",
        "type": "object"
      },
      "name": "gpu_history"
    },
    {
      "description": "查某张 GPU 现在的全平台最低价（元/小时），含报价平台、30 天最低/最高/均价、当前价与 30 天最低价的差距。示例: gpu_price(gpu='RTX 4090') → 当前最低 1.24 元/小时（算家云）、市场中位 1.99、30 天最低 1.24、今日 8 家报价。按次计费 $0.05 USDC。",
      "inputSchema": {
        "properties": {
          "gpu": {
            "title": "Gpu",
            "type": "string"
          }
        },
        "required": [
          "gpu"
        ],
        "title": "gpu_priceArguments",
        "type": "object"
      },
      "name": "gpu_price"
    },
    {
      "description": "列出所有可查询的 GPU 卡型（免费）。付费查询前先调这个拿准确名称。",
      "inputSchema": {
        "properties": {},
        "title": "list_gpu_modelsArguments",
        "type": "object"
      },
      "name": "list_gpu_models"
    },
    {
      "description": "近 30 天 GPU 行情涨跌榜：按区间涨跌幅排序的降价/涨价卡型，含当前价与 30 天最低价。示例: market_movers(top=3) → 降价榜 A6000 48GB 2.52 元(-28.6%)、A100 80GB 5.47 元(-21.6%)、RTX 3090 0.80 元(-19.2%)。按次计费 $0.05 USDC。",
      "inputSchema": {
        "properties": {
          "top": {
            "default": 5,
            "title": "Top",
            "type": "integer"
          }
        },
        "title": "market_moversArguments",
        "type": "object"
      },
      "name": "market_movers"
    },
    {
      "description": "健康检查，免费。返回服务状态、收款地址、网络与价目表。",
      "inputSchema": {
        "properties": {},
        "title": "pingArguments",
        "type": "object"
      },
      "name": "ping"
    },
    {
      "description": "各 GPU 租用平台的数据监测覆盖度评分（A~E）：自动抓取成功率、收录天数、库存充足率、覆盖卡型数。注意：衡量的是本数据源对该平台的价格监测覆盖度，不代表平台自身的服务质量。示例: platform_reliability() → 26 家平台评分，如 gpushare 98 分 A 级（抓取成功率 97%、覆盖 7 张卡、28/29 天）。按次计费 $0.05 USDC。",
      "inputSchema": {
        "properties": {},
        "title": "platform_reliabilityArguments",
        "type": "object"
      },
      "name": "platform_reliability"
    },
    {
      "description": "按任务推荐最便宜的 GPU 租用方案：输入任务（如'微调 7B'/'视频生成'，或英文 finetune-7b/video-gen），返回推荐卡型、最便宜平台、每小时单价与估算任务总成本。覆盖 8 类任务：微调、推理、绘图、视频、渲染、学生练手、70B 训练、多卡集群。示例: recommend_for_task(task='微调 7B') → 最便宜卡 + 平台 + 单价 × 8 小时的总成本。这是别处没有的'按任务问价'能力。按次计费 $0.05 USDC。",
      "inputSchema": {
        "properties": {
          "task": {
            "title": "Task",
            "type": "string"
          }
        },
        "required": [
          "task"
        ],
        "title": "recommend_for_taskArguments",
        "type": "object"
      },
      "name": "recommend_for_task"
    }
  ]
}

What the leaf hashes

{"body":"c54799e5543fb778d0a94eba17937605154fbc6acef2ef5863e957e18da3d842","id":561225,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793136809331808,"prev":null,"subject":"93b34229-546b-4728-b33c-91c67381e1ee","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0x6630edf621c58dad54c655ab8ae29edc11d1bb28aa1cd111347d0ba23d256bb6
2. 0xa7daa363a50659137ce5cb896dd9b937a6a8dbcac146c15528681e4c254b5078
3. 0x0e51722a65db61f50baf888c838692c611c5e7d20d843f28de61f0ff567d8a0d
4. 0x73a8f0d4b8f62b4702e331f7bec9cecd9ec40756b2a90786c91028b0db5da89b
5. 0x91beceb3b4322523123795dc62ce7747693b8b97f8ebc635392a68688bf7f8f1
6. 0x20508fb624846458f99b95199db7e941f6b0bd64515a6e50ff9b6f64db02bf10
7. 0xa10de2ebeac736d5a32c9a3aab5cbc9c8026325650ed53a1146e5636c775b29c
8. 0xb21705d1c69a2c27dac1a55e9ce86aa231ae0d765b2684b57654a4f85567a4b8
9. 0x3233c14b531d210df838ccd0675bc3bb08c2a9ffe2b0e2a3c8762b0931892c40
10. 0xa7cbb8858264e8d035c4c8c9f44bacf605dcf936e96a132ec2b57cf640e1d117
11. 0x2790beb45139410d982bf832095cfc669288d124f5200d2bdd191f14d8df7e4e
12. 0xfc80c3ec28002b5abbe969b82c8409cc3216ef75df720eab92db371621f671d9
13. 0x4c257542b0421f909cc313308d9054fb29b4b46d9dca1b83169d04797233fda2
14. 0x3c5462812bd2f841e3d7deefc01555f18262fe5e0d5a7eb155330b7a7cb0388e
15. 0x6f00f0da417f4126951ba8ba9b7962c847e91f5c61364ad9ad47e5f979698a60
16. 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4