addrbookFor publishers
← The evidence ledger

Evidence row 564487

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 304adfd8-a29c-4346-88e6-4f5d3c2069bd
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
5268aff9a4128a642b22a21f2b373d960c389fff3664308e1f771a46e0be8624
Leaf
0x558fe39534837c97745cc61565c6c7f212a76b0df99e684a6b5431f99e2d629a

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "根据口播视频元信息与文案,生成出片计划(人脸禁区安全布局 / MG 卡片反选 / BGM 情绪匹配),不渲染。",
      "inputSchema": {
        "properties": {
          "copy": {
            "description": "口播文案(纯文本或结构化章节)",
            "type": "string"
          },
          "slug": {
            "type": "string"
          },
          "theme": {
            "default": "apple-keynote",
            "type": "string"
          },
          "video": {
            "description": "视频元信息",
            "properties": {
              "durationSec": {
                "type": "number"
              },
              "height": {
                "type": "integer"
              },
              "rotation": {
                "type": "integer"
              },
              "width": {
                "type": "integer"
              }
            },
            "required": [
              "width",
              "height"
            ],
            "type": "object"
          },
          "zones": {
            "description": "可选,客户端人脸禁区探测结果 {available_bands:[{id,x,y,w,h}]}",
            "type": "object"
          }
        },
        "required": [
          "copy",
          "video"
        ],
        "type": "object"
      },
      "name": "generate_recut_plan"
    },
    {
      "description": "查询渲染任务状态与成片 URL。",
      "inputSchema": {
        "properties": {
          "job_id": {
            "type": "string"
          }
        },
        "required": [
          "job_id"
        ],
        "type": "object"
      },
      "name": "get_recut_job"
    },
    {
      "description": "提交渲染任务,返回 job_id;用 get_recut_job 轮询成片。",
      "inputSchema": {
        "properties": {
          "copy": {
            "type": "string"
          },
          "media_url": {
            "description": "口播视频素材的公开可下载地址",
            "type": "string"
          },
          "plan": {
            "description": "可直接传 generate_recut_plan 的结果,跳过重新生成",
            "type": "object"
          },
          "slug": {
            "type": "string"
          },
          "video": {
            "type": "object"
          }
        },
        "required": [
          "media_url"
        ],
        "type": "object"
      },
      "name": "render_recut_video"
    }
  ]
}

What the leaf hashes

{"body":"5268aff9a4128a642b22a21f2b373d960c389fff3664308e1f771a46e0be8624","id":564487,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793137847327425,"prev":null,"subject":"304adfd8-a29c-4346-88e6-4f5d3c2069bd","subject_kind":"endpoint"}

Proof

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

  1. 0x55901bb99dac2d47b3942866f6db8bea04cae2594cbd3c5b6af914d21e7cd1ee
  2. 0x7ad63e9c1bd10f50dec8b9472c3531f5edaa01784ed742120ad066005db0de5c
  3. 0xaa071d66d7783dd493e2e5d297e3e65f96f71ce765ae3a8e01472d92c666ae0c
  4. 0xcb6221dd85e6febcf516c7e6c1bd49971d125b45352c25158b82ba64ee5e9dbe
  5. 0xd054bab3c6a9222bfa8bb6955ae16f0e3418958e61c5416e847a394186f27f84
  6. 0xfbfabd09e3660bd19705fb08e0da8f22e96768d0d02689350403fd89af417a06
  7. 0x34adda26980535621245548e8b97978539e9e7ef8010d35edf34b94c0b752164
  8. 0x0d97a0e1264ebda03eeebc8ce222f0bda55afa8470517ab3557f238e3a58601e
  9. 0xb16d5b90723b0462d9a78e20eb077725d68ae0e69de108082cfb78b5affb7760
  10. 0x2250983ab1b8dac7279c6d7631fe386cd95b31391cec4a472df9864e9e8abf31
  11. 0x70cbb36b38089bd590d59988369200459112eeb685a3d047dc7d6f85d72f0b65
  12. 0xbda8a72c454627630518fefedac1e595455f868382eb4add82d53de75ccbae18
  13. 0x906b5f0e8ef1fe7894886d84f460bb3239d5f14b14ad4adff27c7dcea6265169
  14. 0x674bc1173d39130be4d15bbfc7327f8a8af87eb251e54c8d4409c7e840b9e538
  15. 0xb78ea6a255dd06e2f402a1a733bca392fa6243920bcba95e8b80bdfc6ce5f553
  16. 0x3ed50f053eca72dfd3a9d45a11935240bfe691e57835c367ddebe2cbc49efe9d
  17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
  18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON