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Evidence row 1288988

Observed , by sync.mcp_registry/1.

Kind
listing
About
source_record mcp_registry:io.github.pandadad0214/panda-research-mcp
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
aed9cda45081a9de2549d80b26af6744a2fedeb190fa5ee8d1d3215142e9c3ff
Leaf
0x1e16a20052f8712cb8a8685789314567c88a2209946cad9d5fe22bb5c2a5ad87

What was observed

{
  "endpoints": [
    [
      "web",
      "https://apify.com/pandadad0214/panda-research-mcp"
    ],
    [
      "mcp",
      "https://pandadad0214--panda-research-mcp.apify.actor/mcp"
    ]
  ],
  "name": "Panda Research MCP",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-30T20:22:15.336669Z",
        "status": "active",
        "statusChangedAt": "2026-10-30T20:22:15.336669Z",
        "updatedAt": "2026-10-30T20:22:15.336669Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Check citations, catch fake/retracted papers, search OpenAlex & PubMed, format references.",
      "name": "io.github.pandadad0214/panda-research-mcp",
      "remotes": [
        {
          "headers": [
            {
              "description": "Bearer <your Apify API token>",
              "isRequired": true,
              "isSecret": true,
              "name": "Authorization"
            }
          ],
          "type": "streamable-http",
          "url": "https://pandadad0214--panda-research-mcp.apify.actor/mcp"
        }
      ],
      "title": "Panda Research MCP",
      "version": "1.0.0",
      "websiteUrl": "https://apify.com/pandadad0214/panda-research-mcp"
    }
  },
  "source": "mcp_registry",
  "summary": "Check citations, catch fake/retracted papers, search OpenAlex & PubMed, format references."
}

What the leaf hashes

{"body":"aed9cda45081a9de2549d80b26af6744a2fedeb190fa5ee8d1d3215142e9c3ff","id":1288988,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793394940200920,"prev":null,"subject":"mcp_registry:io.github.pandadad0214/panda-research-mcp","subject_kind":"source_record"}

Proof

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

  1. 0x1e16d96f88452f7603e0078934e330eb1fa31670b7a051ef9507615d2e83408b
  2. 0x47178b1791f7ce20521ea9f9d83a72a436f42b32b33c96918e551b9ce60174a0
  3. 0x37ca79c79810651982744d9f7a679b567386ae0650f5fbadc97f11f3deae4227
  4. 0xff2a59762eccdeb1f5bdd9c6e65157db471c87176c5779d5477089422b1ff1ea
  5. 0x239d2acb71936f4a69ceceaa0e04b7126a160141a194eafac05a8f73086ab6c4
  6. 0x8cc0a3cfa63a8bebce2df3fa8f54d0eca7cdd0b54716ffafef4980ad2d4056b6
  7. 0x75bbdd0f6d73547cd177d38db380e32007ee0392b7420f8b16eaac5abe23fc62
  8. 0xa731024e9083ce897f377a20fc4d2d481b25e1adb7dda7244b570be37647dbeb
  9. 0x811e7c9db6772cf30fecb3e354c358f1a5452d0455265ff20147424b36e36e4b
  10. 0xb909f13a4b4b21489f847e5e22b497f873c0d19a55a11cf6ba129a83007fd490
  11. 0x3f94c922fd6ee2d15633f83196b7b8062806cc50f6e7632691ae417346d24db6
  12. 0x51313700f12363a5f61bc2102703f6ec564c0b145235009c9dc60eaddd9283b0
  13. 0xbd1446eaebfa305f15b340dea3e27a3e7b3a8ce24b81ebb8cc7d8916641b7cca
  14. 0xa25de97dbaf2a3b2e2808c2011eada63945b08a93d4bb9a6253fb7a136aa5dac
  15. 0x0313631fba69cc31784d20beec069335df13219f8a8a8a8831740bca4d4aa0a0
  16. 0xe2a9872e1b6a01c55a7a8cc5c05c61f3933255db5c26b9c79be4011d28685b52
  17. 0xb0c9ef42e725578748f3119c9dbebf2fc437266bda013df29f98ed3ebe621403
  18. 0x30a81d8fcef4e8f9e2877c62796cfc5612fc1b251127d531dee28f8dbd5c5147
Day root
0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875
Chained
0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822
Published
On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861

How to check it · This row as JSON