Evidence row 2725463

What was observed

{
  "count": 9,
  "tools": [
    {
      "description": "按你指定的卡型集合与天数，一次性导出多张卡的每日价格序列（json 或 csv），含最低价、市场中位价、最低价所属平台、库存状态、当日报价家数。示例: bulk_export_series(gpus='H100 80GB,RTX 4090', days=7, fmt='csv')。原始数据也可免费从 https://rentgpu.link/data/history.csv 自行下载（CC BY 4.0）；此处计费的是按你指定维度筛好、排好、格式化好的结果。按次计费 $0.02 USDC。",
      "inputSchema": {
        "properties": {
          "days": {
            "default": 30,
            "title": "Days",
            "type": "integer"
          },
          "fmt": {
            "default": "json",
            "title": "Fmt",
            "type": "string"
          },
          "gpus": {
            "title": "Gpus",
            "type": "string"
          }
        },
        "required": [
          "gpus"
        ],
        "title": "bulk_export_seriesArguments",
        "type": "object"
      },
      "name": "bulk_export_series"
    },
    {
      "description": "从逐日原始快照里按条件筛报价：指定若干日期 + 卡型/平台，返回命中的原始报价（含计费说明口径、来源、抓取时间），按价格升序。示例: bulk_snapshot_query(dates='latest', gpu='昇腾910B2 64GB')。快照原文免费：https://rentgpu.link/data/snapshots/<日期>.json ；此处计费的是跨多天筛选与聚合。按次计费 $0.02 USDC。",
      "inputSchema": {
        "properties": {
          "dates": {
            "default": "latest",
            "title": "Dates",
            "type": "string"
          },
          "gpu": {
            "default": "",
            "title": "Gpu",
            "type": "string"
          },
          "limit": {
            "default": 200,
            "title": "Limit",
            "type": "integer"
          },
          "platform": {
            "default": "",
            "title": "Platform",
            "type": "string"
          }
        },
        "title": "bulk_snapshot_queryArguments",
        "type": "object"
      },
      "name": "bulk_snapshot_query"
    },
    {
      "description": "查某张 GPU 过去最多 90 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 $0.02 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、区间最低/最高/均价（最多 90 天）、当前价与区间最低价的差距。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、区间最低 1.24、今日 8 家报价。按次计费 $0.002 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 90 天 GPU 行情涨跌榜：按区间涨跌幅排序的降价/涨价卡型，含当前价与区间最低价。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 $0.005 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() → 31 家平台评分，如 gpushare 100 分 A 级（抓取成功率 100%、覆盖 6 张卡、30/30 天）。按次计费 $0.005 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 $0.01 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":"2e1a5746682e87aa71b27525d0bb49ca5a00376510c1ebf569bb42d6a0d072cb","id":2725463,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793747393786662,"prev":2046273,"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 2026-11-03 (425475 rows).

1. 0xf4f737d9d5977b1d4c61578f8a6293cc3630da5cb08366466ace4bd1e49d3399
2. 0x6143748daed349182b37cb2b4f7e3e7f0cb7d785a8bb7a89484a598b299fa6d3
3. 0x920a429a4d660109f216e7e6a48f2bcd80680da0024f4b9aa48fe8491fefdef5
4. 0xace6874eaf4bebc8c5ca0b44bbd01c78cd5dc88ff3d7767b507f2d2b9c46759f
5. 0xaadf62537550d25f7e0de50d3c7e3a581872a23d33bd9233ac9d2492ada8114c
6. 0xe66d4d6e6cf1c60684f0aec87947584b6777557cc5140a43b36a4961468deb8d
7. 0x47276302be2e9655444e37511e0168225fe91b10e3aded8d6f2d258bfb6e2bd7
8. 0xee9a2f3aa5385f4066af19548c0a7c50bb5d9605298b2bf07fb38dfb1ac26f2f
9. 0xdf8986ebdb38b3acfbca53f9fb400028be930d8888c5ecdaecbae7a258b5ffc6
10. 0x65339e689f5b823556c96c2992fd700c6cae5a2ca1f4df7bc22829f9963e2ef0
11. 0x895e991ae9bfef2478af565486e200249465a3114ee9cd31f009d29bb684cdd0
12. 0xdb8c0c03e7d8a8fd22a83683e507947eba2a6b8b605e59cb6c788dc6f06d74cd
13. 0xa3161cb432d7bd6448eb9324e285f75f0a69460cee6b1b15f4e1c7d68cde0384
14. 0xc456b1c820d564945f129896256bb07afc74e79940a2da0ea6e9440718d856c7
15. 0xa29933ab8020ad948edbcf3e65194e73a6b113a0063231c1105b56c2d59ab97d
16. 0xd60b16e6a71fbffc93a233ee89f916e50c0206a56f52c852b85e5a246b6b417c
17. 0x85f3a27c16056a361d9ba33355a575ca7123f86de901b204c88953c4b8ea441a

Day root

0xb646ffa569e24bf8336b0a15a9d98d0a2f1239f58e10c2b18a9d22e43343566a

Chained

0x35e926359fd19031c6b5e08fb3b44f2524386a57c8fdd353336c185603f53d43

Published

On Arc Testnet, block 70601990: 0xa5f9dadba13cde129126b950e64b815e6833cb8ff53b75026c9dbe769c3768c7