Evidence row 814265

What was observed

{
  "endpoints": [
    [
      "web",
      "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt"
    ]
  ],
  "name": "Premiere-MCP-IMT + SKILLS — Premiere Pro for AI agents",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-28T22:17:07.171105Z",
        "status": "active",
        "statusChangedAt": "2026-10-28T22:17:07.171105Z",
        "updatedAt": "2026-10-28T22:17:07.171105Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Premiere Pro for AI agents: every Adobe UI language, large skills library, generative AI tools",
      "icons": [
        {
          "mimeType": "image/png",
          "sizes": [
            "512x512"
          ],
          "src": "https://raw.githubusercontent.com/Immersive-Media-Technologies/premiere-mcp-imt/main/mcpb/icon.png"
        }
      ],
      "name": "io.github.Immersive-Media-Technologies/premiere-mcp-imt",
      "packages": [
        {
          "identifier": "@immersive-media-technologies/premiere-mcp-imt",
          "registryBaseUrl": "https://registry.npmjs.org",
          "registryType": "npm",
          "transport": {
            "type": "stdio"
          },
          "version": "1.1.1"
        },
        {
          "fileSha256": "82464210b12bbdf9dae0d01648e44357b9cd2fb4ab070c13045fb47566b3c11e",
          "identifier": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt/releases/download/v1.1.1/premiere-mcp-imt-1.1.1.mcpb",
          "registryType": "mcpb",
          "transport": {
            "type": "stdio"
          }
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt"
      },
      "title": "Premiere-MCP-IMT + SKILLS — Premiere Pro for AI agents",
      "version": "1.1.1",
      "websiteUrl": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt#readme"
    }
  },
  "source": "mcp_registry",
  "summary": "Premiere Pro for AI agents: every Adobe UI language, large skills library, generative AI tools"
}

What the leaf hashes

{"body":"49a3ef55c077726adf3d809f12f6518f24904cf9e029a912fc2fea8c1a6c6466","id":814265,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793229157228608,"prev":806164,"subject":"mcp_registry:io.github.Immersive-Media-Technologies/premiere-mcp-imt","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-28 (231336 rows).

1. 0xd9e636afa322ef5b2612521317dc623897cedc8239cec467706f029df59696d6
2. 0x551733d682e620aba2d40f283eab6ed556769dc1e746ee05340ab213e6772e83
3. 0x3ffd596b3fe1be4a15fe16b9db6a5dbec240d18a0de1083f271a4d815e1cc5f2
4. 0x64f132b9f2a3728e527213f81a745e63b852bb2aa4ab69a48d610a417de2327d
5. 0x648fae66267f3115f5f47a75602c1886394e5e2b15f2286b07bd046d6fc6b1d0
6. 0x1b73f0093f815a2b0ded359661bad8af10e957f0c9f52a2340e6f4fe116353f9
7. 0xc1dc73d02e2838fdea1b83bede823dda0c0367080c1b59896c1011522c08fd3c
8. 0x0fc185065a6dbdf490e399aeb5c9c879bb3b38a145b200119b0da4b89a833dc7
9. 0x0f5f7c88467287964ffed5f7814ea965ed441648898a2d437ba55bc15fd938cd
10. 0x1885563e5ff191336b23dc0657a899ee3f8918046424ff6cc2eafc98bb5ec149
11. 0x5ec99112b44cb61a46f9952770c8db374a86bf85ffdcb781a078c1130982c6bf
12. 0xfe1de2fb4d670945b8540f857d0c03e57c680a7f40edea8a69db6f106739386c
13. 0x82ed78906403b92178e04c4dd2d8720cd186be1cf80227fb38b0ce1778f2e146
14. 0x4c91c1a674a62931ce621a521121f13a2bd017a2cbd5ae2510623cd559d36663
15. 0x334629b51e7dfb2339fa4fd14202e288d70dbaccb3e5b04d2d5fb8f0d489ce5e
16. 0xef2ebd45f2cfd41dc3eb213cc4cc144c46b7e9ead2de0b9f627463bad16e3ec8
17. 0x67e9ff3e48c515135fcf3df2675aa4996d35d4a328ce41588ee1a7d93347c823
18. 0xe6cfe00ae4e02bc12327e45b5f3334ea5850ba3bcc8e3101d30a8189856a95af

Day root

0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e

Chained

0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be

Published

On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae