Evidence row 1773636

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": "2026-11-01T15:46:53.545916Z",
        "status": "active",
        "statusChangedAt": "2026-11-01T15:46:53.545916Z",
        "updatedAt": "2026-11-01T15:46:53.545916Z"
      }
    },
    "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": "2026.11.1.3"
        }
      ],
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://aichat.mcp.acedata.cloud/mcp"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/AceDataCloud/AiChatMCP"
      },
      "version": "2026.11.1.3",
      "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":"4e700d8d25454a12668c451f6bc933735ed9e376b961369f48dc207231bf8a71","id":1773636,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793549850791190,"prev":1733141,"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 2026-11-01 (302406 rows).

1. 0xfc495e49d53f17a77240917903473745b10e1b2c19623d7f3a5dd3775fc2dd89
2. 0x581408633cf5bc997f38de8ea6af1098b099bd0bbf18131afa5eaa7fc1e293d6
3. 0xe94791cc2ddd88a7fa4f66673c4e701cc81a6fe5b3eacf8c58b207fc75dee80d
4. 0x8e097868579e29fd14a5ef7e69430b70373acac9e2f7ad8016ec28f07cdd7792
5. 0x3e43c71eac8a4c63acfd3e480d094f23ad5cc1fcf9276f391a99a115486c1703
6. 0xd73f793cc981c0e825a6a316cccd5cdeb66b57a47af8915f4066286a083a5fb4
7. 0x95877ae6b078d8cd7c0af8b3687ca9e8134af510f97e2b7d9df6d117b5b32b10
8. 0xab1182cc09873c40987f036e5ca3dd65bb0c1abc7abc660551f60ad38d7d443f
9. 0x04fd47d8e04b97fff920ef8285d9710394f32fb2f05809d034fbb202d19eb419
10. 0x977747cece4a487d43c02e49307f6e43c04f1cd4203ab627c2dca84e7878cdcb
11. 0x7853a7e4727bd0645c5e503374a3c4c03e08bf484dc085b7ab59e561c342494e
12. 0xdd6fd2d3474b1652642889f218206189aa3c852f3ef47e11d3a4bd68c1139aab
13. 0xf8b9b78839288f6f3c2a097f49df191b3fb6db46d1902b4044f5d4ee3643c368
14. 0x7cd72adb87b8751bf15c5933b0cfda4c062b8aa62aa82c7e8571c6aa0cc82204
15. 0xf7af9137c03da92bdd37d086da37554097bcd1fce016f93f2e66d18b71970c5d

Day root

0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3

Chained

0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4

Published

On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90