Evidence row 814829

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 $0.02 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、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 $0.002 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 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 $0.005 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() → 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 $0.005 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":"27e3dfeb9564e090f594da40049d9a560e2d55ab16876d29860bd5318c87536c","id":814829,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793232328949522,"prev":561225,"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 2026-10-29 (242798 rows).

1. 0x7e4fea72da5c28fedd0eb4cb75eb02430dd1678a77922d7a729d9cf14184c9dc
2. 0x7b50456f668ac611053db6e96698ae412e7bc22b075b6020a00bb560a078e8b6
3. 0x3c724d55339d35465ee75fe4d279062d45a27a20bbb202f6b4c64d652bee89be
4. 0x51c5e9fd4db935a97dda15110633c7838ddaf71447513f9085688ea41b87e75f
5. 0xf3147e9b1fd5f4754630d81ad899cf19b6366ec51299e9d1840409ca7512c40b
6. 0x8057aa0c49090d97e5d55876bbb9ecab86f1bc474de90bd55390d95ab761c0ac
7. 0x5522937f92dd15ebb41a1c5e4a54bcc8d8f0593a458e792221ea3c4bae803ba8
8. 0xea4e74fbcc68e4ac2c1371e127f6e41b0bd5a4c38f66aa7b4dfc7745e9c5a429
9. 0x11f99fe64785032a830ac19b8aa60f26776d3042775b21f0327d80e9fc3c1855
10. 0xec0aa2b695c22580f59fd792b87639896fb9929a0abd2ccb823dfbdf591e69c5
11. 0xa493465658b9982fa797e28e952161babf4e683984018e4a82a3822f0261e874
12. 0xdd1b7c709bffb72e2b571ed6f40eb082bfc4c4c06db6f551176d357d15cd49ec
13. 0x68daa487f20142b5a274d6f597c5a1b745921627de17f1d6b9dcb7d0a6564bcc
14. 0x8ba80727225153704e2051c6b4fa52b7de16d7f5ad7fa0e39cd779b45b20814d
15. 0xcf94ad18fb19d78b9bda4e21e2e80e6fbf3504f3f83fee3273c11933743525c4
16. 0xe2d603cd6f987214550319ad4fa39952b6098bc5c1b20893b6b80e8d82a79934
17. 0x91f12a2db1e2c1be07cbe4de3981a37a33051a36d3c3eee5a260804add6d1d75
18. 0xd56e61af23709ed9f460471e3c08400c0142ee83e1fd9057e46350d12edf9c07

Day root

0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c

Chained

0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6

Published

On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1