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Evidence row 1230919

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint ffb0511d-6b1a-4d39-b069-75c25282ab9b
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
90ff131d0def8480a19241e83ad396454fb6f885f056268bdbed4cff9e779679
Leaf
0xdd35e2dc74cc37f4f07d4a541665253a159025003f67b1baa0ee3bca1de84c98

What was observed

{
  "count": 7,
  "tools": [
    {
      "description": "Word(.docx) 转 Markdown,提取正文结构。触发词:docx转md、word转markdown、提取word文字。",
      "inputSchema": {
        "properties": {
          "file": {
            "description": "docx 的 base64",
            "type": "string"
          }
        },
        "required": [
          "file"
        ],
        "type": "object"
      },
      "name": "docx2md"
    },
    {
      "description": "简繁转换:简体中文与繁体中文互转,支持港澳台用语差异。触发词:简繁转换、简体转繁体、繁体转简体、两岸用语、汉字转换 API。",
      "inputSchema": {
        "properties": {
          "text": {
            "description": "待转换文本",
            "type": "string"
          },
          "to": {
            "description": "tw=转繁体, cn=转简体",
            "enum": [
              "tw",
              "cn"
            ],
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "fan"
    },
    {
      "description": "HTML 网页内容转 Markdown。触发词:html转md、网页转markdown。",
      "inputSchema": {
        "properties": {
          "html": {
            "type": "string"
          }
        },
        "required": [
          "html"
        ],
        "type": "object"
      },
      "name": "html2md"
    },
    {
      "description": "Markdown 转 Word(.docx),保留标题/列表/加粗。触发词:md转docx、markdown转word、生成word、文档转换。",
      "inputSchema": {
        "properties": {
          "markdown": {
            "type": "string"
          }
        },
        "required": [
          "markdown"
        ],
        "type": "object"
      },
      "name": "md2docx"
    },
    {
      "description": "PDF 提取正文转 Markdown。触发词:pdf转md、pdf提取文字、pdf转markdown。",
      "inputSchema": {
        "properties": {
          "file": {
            "description": "pdf 的 base64",
            "type": "string"
          }
        },
        "required": [
          "file"
        ],
        "type": "object"
      },
      "name": "pdf2md"
    },
    {
      "description": "汉语拼音:中文转拼音,支持声调符号/数字声调、分词、多音字。触发词:中文转拼音、拼音标注、汉字拼音、pinyin。",
      "inputSchema": {
        "properties": {
          "text": {
            "type": "string"
          },
          "toneType": {
            "description": "symbol=声调符号, num=数字声调",
            "enum": [
              "symbol",
              "num"
            ],
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "pinyin"
    },
    {
      "description": "文本校对:中文智能校对,易错词(截止/截至、的得地)、重复标点、错别字提示。触发词:中文校对、文本检查、错别字、易错词。",
      "inputSchema": {
        "properties": {
          "text": {
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "proofread"
    }
  ]
}

What the leaf hashes

{"body":"90ff131d0def8480a19241e83ad396454fb6f885f056268bdbed4cff9e779679","id":1230919,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793344179546087,"prev":null,"subject":"ffb0511d-6b1a-4d39-b069-75c25282ab9b","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (243099 rows).

  1. 0xdd35f7b38b088e4ad9e2462ba776e72440981ec401fed8807659b6102591fce9
  2. 0x5e2b156ae66bf1447174e926e1be8d9bf9c164220921061bd42fbcc009cbe047
  3. 0xe5b55d55c6773d0d2fcebc3d40545b577e3cbf1da19cfc4a8495e0aec5bb22e5
  4. 0xdb11f44fe57e965b938898773d9dd5e535deec1333e248333ce12387fc2d36c3
  5. 0xdcaf632b90904a8fc95f85ec4eef19d1b3abc8deaeeed2a03408485b710e6632
  6. 0x69d54c9db5ae1cd5ec8f7b026f58335381d05edc09a7d801ca29c5936059fa14
  7. 0x7691cba0c620eee7d9b7694975d3c4ac8a789c90bacf37695965810d510ba974
  8. 0xd66b299456443c1785c80176be5097fef6a211438bfe7f322a2eae6ff15f79b9
  9. 0xd07ac6ea306dd59c62a7ff8e30e64fa1a1172e807e8bbcf3fd91187051929b0b
  10. 0x1924881e5f45cd8e0c9a0245b089616c8ee6ba3cdb71fe3234ec6ff83a264e91
  11. 0x03cebb575c8a814506f924bc33f1e4ee44ef659c2045f016ac200259ab3a7642
  12. 0x5a93c3c6caba5329acbb2557fd733fc09280a63cc9d2c7bf97eca13959f7d500
  13. 0xde6330cd2fd87d4a03322cd4edc4146f5af228840069c80439e47f69c6b7fbfa
  14. 0xbfb4e09ea246d6cb4bd9c9eab033e6c0a787969a9a66a77312e83430b0de95f8
  15. 0xf007cd9640267a58ddffce96e27f5682cf5c47530f53dc15dc53e4ccd405c6c9
  16. 0xfbe61dc2d59668ac573e5eab865747e21d38bf2fe4c64762beef01f1018a4dea
  17. 0x71e74c274b23c9047354edb6dcd2c654415e3986b8bd875dae992996ea12e22b
  18. 0x0c43c73b62a5d49ee1444b5dc4195fc5b16b141d3f4458e2e9fbd5fd6ecb367d
Day root
0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875
Chained
0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822
Published
On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861

How to check it · This row as JSON