Evidence row 1496733

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://api.eu.doconda.com/mcp"
    ],
    [
      "web",
      "https://doconda.com/"
    ]
  ],
  "name": "Doconda",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-31T15:43:43.00565Z",
        "status": "active",
        "statusChangedAt": "2026-10-31T15:43:43.00565Z",
        "updatedAt": "2026-10-31T15:43:43.00565Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Convert, create and edit Word, PowerPoint, Excel and PDF documents from any AI agent.",
      "name": "com.doconda/mcp",
      "packages": [
        {
          "environmentVariables": [
            {
              "description": "Doconda API key (ak_eu_…), from https://doconda.com",
              "format": "string",
              "isRequired": true,
              "isSecret": true,
              "name": "DOCONDA_API_KEY"
            }
          ],
          "identifier": "@doconda/mcp",
          "registryType": "npm",
          "transport": {
            "type": "stdio"
          },
          "version": "0.6.0"
        }
      ],
      "remotes": [
        {
          "headers": [
            {
              "description": "Optional: Bearer followed by your Doconda API key (Bearer ak_eu_…). Without it, the client signs in with your Doconda account (OAuth).",
              "isSecret": true,
              "name": "Authorization"
            }
          ],
          "type": "streamable-http",
          "url": "https://api.eu.doconda.com/mcp"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/B-C-Software/doconda-mcp"
      },
      "title": "Doconda",
      "version": "0.6.0",
      "websiteUrl": "https://doconda.com"
    }
  },
  "source": "mcp_registry",
  "summary": "Convert, create and edit Word, PowerPoint, Excel and PDF documents from any AI agent."
}

What the leaf hashes

{"body":"352f07e796ca31af5e7e75c275a79d141beb0b54aaeb93c4d892652fdea71525","id":1496733,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793463371824075,"prev":1487384,"subject":"mcp_registry:com.doconda/mcp","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-31 (246033 rows).

1. 0x759c23ff86541a7c27e7a98623b21ac7d1fa3b8b1fe39df7e74837ebc70fc0c7
2. 0xd735cb41c82df1a4da857b602dfbbc8df0ac9e3b252d7e1dd2fc42da58b60c92
3. 0xd1b5bff88f2674209b6080e522c03ee0b38b8454c716820e4308797a2bd7411f
4. 0x2654d1e7497a74dc2c6d5713dfeaa9d7d170071af9ed8f64104e7b48c4bfa3c9
5. 0x21eb74a4efb6538a50b67b06b50d7cdf162cf0c65e434365d0c393f21befec84
6. 0x621e9c73a7309532b1ffff3a47417a1ef16fa3d05b54fc6d4d17b188ffff55f1
7. 0x57a194a2211bdafe9933e4c94d5bda6fb7e9bd8f895a5c3c36bbd86db6c2f92b
8. 0xcd8770374807541992dbd240b190b32296543df7788ed1be2d109a51648f0f44
9. 0x5308e08eb5ff42a5e85a7de5aa2d793e8b6c3956a513f3661c4d8b8f819b27ba
10. 0x78a54e97e0da1d9c980fbcc755d5f3769374eaa5f05a87ed897b0142d2eae18e
11. 0x0bcaecfc8a073ee75c4969022a8fe8a3e005dc5f1bfd784c509b0fe6764084b7
12. 0xbb0395dbc0c03d70156bada5bbe4138a6a061a440cb8ced1ced624a1d0bd9439
13. 0xcd5e7734bd8848fcbd68ddd77d7fb326e0e8f4beccfaf7423728dad7030eeb6f
14. 0x41e1f7c43ac5b235ed2b70fcc7418dedf8f488e17dfa6d5347558c4b213497ea
15. 0xda82240eda32eeb01478d5898342fa15b35b5682549347c7a22660b37913617f
16. 0x919f237dec4df392868ab95f1d4300b185479ae64464cbc2e7385ad1fd6ab390
17. 0xa00a931d72706fa2402bfc9b441a12eb7c6a61ff42a542916106e3637177f101
18. 0x59f83f7228f07febe2780660e422e171b0359b8aa031ee3be07e991118130c15

Day root

0x24463725d1c0d9894bd6123691d532547aaa79f0762c0e45aa6a68acf1fd71ab

Chained

0x7d4824ff313dee7252a46f9d5c37b452851deb6c9f24a40c2f74ee0e53c82980

Published

On Arc Testnet, block 70093156: 0xedb7b832f4ebf6781b5ecd2ed241c435b862f4d3761541fa31adc1831b8c44a0