Evidence row 1532928

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://aichat.mcp.acedata.cloud/mcp"
    ],
    [
      "web",
      "https://platform.acedata.cloud/documents/aichat?utm_source=mcp_registry&utm_medium=referral&utm_campaign=evergreen&utm_content=aichat_mcp_listing_guide"
    ]
  ],
  "name": "io.github.AceDataCloud/mcp-aichat",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-31T18:33:53.41612Z",
        "status": "active",
        "statusChangedAt": "2026-10-31T18:33:53.41612Z",
        "updatedAt": "2026-10-31T18:33:53.41612Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "MCP server for AI dialogue using various LLM models via AceDataCloud",
      "name": "io.github.AceDataCloud/mcp-aichat",
      "packages": [
        {
          "environmentVariables": [
            {
              "description": "API token from Ace Data Cloud (https://platform.acedata.cloud)",
              "isRequired": true,
              "isSecret": true,
              "name": "ACEDATACLOUD_API_TOKEN"
            }
          ],
          "identifier": "mcp-aichat",
          "registryType": "pypi",
          "runtimeHint": "uvx",
          "transport": {
            "type": "stdio"
          },
          "version": "2026.10.31.1"
        }
      ],
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://aichat.mcp.acedata.cloud/mcp"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/AceDataCloud/AiChatMCP"
      },
      "version": "2026.10.31.1",
      "websiteUrl": "https://platform.acedata.cloud/documents/aichat?utm_source=mcp_registry&utm_medium=referral&utm_campaign=evergreen&utm_content=aichat_mcp_listing_guide"
    }
  },
  "source": "mcp_registry",
  "summary": "MCP server for AI dialogue using various LLM models via AceDataCloud"
}

What the leaf hashes

{"body":"75d1ada9ed1392345831887070f59670b535756b71870e467b9d799086d98cdf","id":1532928,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793474210626011,"prev":1503287,"subject":"mcp_registry:io.github.AceDataCloud/mcp-aichat","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. 0x674c97d3d65a9a041903f02c0fb3999a442e79df4c76b1f18281f7e10f44f2d1
2. 0xf483a0bff95f989e16432e8454f3c43626802cf3496adfc8628014892f6e5027
3. 0xae391423bf819f7ab47aa249763f846d5e0d331c6ab73def416fbabd51309496
4. 0x90d5b0e126a0c43825fd5f4cbfb167a08b0623a196535bc8b037fb7f0720cb35
5. 0x3f21b67d1b52b7063667c2269c683a180b9afca15e0447d23144bf78eed4d5a2
6. 0x1a2dd3ceefe547df9c2d0e1b9c8ed339fe1105a77a6957c8398d26dc6f40c81d
7. 0xde38328b1ff38f695f347df501e058af74f6b8dd7f9e73d00a781fd8d305cff1
8. 0x0db9d0dbd3c0ea1d7396091f607ef79e77233bb211cc26bd688335ee8f9c82fd
9. 0x1f9322c6b202367ebc03b9cbda6b442ba34fa6550f70bdbe20645bf6ddfc16c0
10. 0x5420b706df6ad575eba8e7272e4694850e5353041ae827a562d50786011915ed
11. 0x559b47db507d0b6994af177f3131df0096495d9fff34d9ef2b9ec66fc3a2d39c
12. 0x7ef27bd19b231c997b27d3b108a41128fea28af44414f09aa5778e54bb175824
13. 0x505b30d0d228fd70e562b7e7b87fcd2b0a915da70dfd94681a271d95ffbe404c
14. 0xac33b3310fc2d37a4e515e0c8775d4934592f3daaaf032bec47eccec8e01df31
15. 0xda82240eda32eeb01478d5898342fa15b35b5682549347c7a22660b37913617f
16. 0x919f237dec4df392868ab95f1d4300b185479ae64464cbc2e7385ad1fd6ab390
17. 0xa00a931d72706fa2402bfc9b441a12eb7c6a61ff42a542916106e3637177f101
18. 0x59f83f7228f07febe2780660e422e171b0359b8aa031ee3be07e991118130c15

Day root

0x24463725d1c0d9894bd6123691d532547aaa79f0762c0e45aa6a68acf1fd71ab

Chained

0x7d4824ff313dee7252a46f9d5c37b452851deb6c9f24a40c2f74ee0e53c82980

Published

On Arc Testnet, block 70093156: 0xedb7b832f4ebf6781b5ecd2ed241c435b862f4d3761541fa31adc1831b8c44a0