Evidence row 2046273

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 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() → 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":"7c2af404806463a8373c55b05eff953fae04a607df1fac999c2d4648f3ffc750","id":2046273,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793590093196622,"prev":1478920,"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 2026-11-02 (444186 rows).

1. 0xab1ee62f97a327f8ce357472616614e88ecb0cb18dfeea1a3d2c3b0f5c82c779
2. 0xf05a9f865fbf59da406440d0ffe43cc4ac8ac9078ffa78a4b65831851af71968
3. 0xbf4ada5fd6dbdcae8a260e7dad47d4552cf2c48b9a90ef08925aa2ecd981cd6c
4. 0x85860239a34ffd9f1858d992c9a52403097e6feb54fb88da08b57a177560ae1a
5. 0x22df4033c7d9d0b6ea5a5ba451d28046ba6210b45fe01ac6862f51a02617668e
6. 0x308819232e31ab77b1eb51a9c369e4fed819e04a2140d08bc7a4f858929610f9
7. 0xe0b39afe6479739a5f28f14adf7b39e80bd26be127d883c2fa731743af94a68d
8. 0x91569e77c33a992fe2d6ada35829627abe3c25cdd59e2ebdd834a87cc19e7233
9. 0xb364710497963214ed2a94549de0c30470185f87e3250c04401ed179735371e2
10. 0x60a8d998083c9d6041cd341cd12c5450b3321969fe5f78c69ea13597731dcfe4
11. 0x0b0599cdafc51aeb51303712d6352904fa882f3025c5a86e9ca3f2735585c32f
12. 0x8cc79a806621c6c78dfbbdd21d793ebf9fe2942c16ff8fcfabfae8b921d58fb4
13. 0x0a8f32fa56d4ddb69ff176883beda0b0217f66ec9bd09c11cec95d7ba5f6c70a
14. 0x27deeb1ef1692b4773e73c16b6d8d0cdf4251fe2660821e5336f57539770fd2f
15. 0x793184605629cd36ba80a07cbe115ca35e8923297bf024260c6f5c06b255f638
16. 0x2922573a524a0694086782ac45fa3083d3fc3f6a2a479b2105e1e2f06b2916f7
17. 0x07ad80c0c234ecea379a2f4450dfd0804db049dbc62abe77af6306049ca6b6c2
18. 0x98cbbf2c68ab4c0b4db782aeb88bea1f30b02178cf8b5d3d24a931d19492ea6d
19. 0x252cce55f1a3d5391c16f82d7f62494429a5f69b03486d4cfcfb7b2c96d6c884

Day root

0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1

Chained

0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2

Published

On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af