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Evidence row 44637

Observed , by baseline/1.

Kind
listing
About
source_record mcp_registry:io.github.nickjlamb/ai-footprint
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
e3593c677a11ccc79bc00e792aeda6e450599585200078573a3ab91398fa1e2a
Leaf
0x739a46c73b3a308364e1df37249f2a12c441bb091c1fedf38b42389c5574d5e5

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://footprint.pharmatools.ai/mcp"
    ],
    [
      "web",
      "https://www.pharmatools.ai/mcp"
    ]
  ],
  "name": "AI Footprint",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-13T17:07:19.321703Z",
        "status": "active",
        "statusChangedAt": "2026-10-13T17:07:19.321703Z",
        "updatedAt": "2026-10-13T17:07:19.321703Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Water and energy footprint of AI use: chat prompts, agent sessions, methodology and sources.",
      "name": "io.github.nickjlamb/ai-footprint",
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://footprint.pharmatools.ai/mcp"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/nickjlamb/ai-footprint"
      },
      "title": "AI Footprint",
      "version": "1.0.4",
      "websiteUrl": "https://www.pharmatools.ai/mcp#footprint"
    }
  },
  "source": "mcp_registry",
  "summary": "Water and energy footprint of AI use: chat prompts, agent sessions, methodology and sources."
}

What the leaf hashes

{"body":"e3593c677a11ccc79bc00e792aeda6e450599585200078573a3ab91398fa1e2a","id":44637,"kind":"listing","method":"baseline/1","observed_us":1793025405052758,"prev":null,"subject":"mcp_registry:io.github.nickjlamb/ai-footprint","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0x739a61043b625b89dc783f2eb91a3ccc15e3a4fa5f7f5806d5bd6b316adf406b
  2. 0xf657ae8112751768267fd9342bce0d674eec93aa8873ff1f66dff3d32a3106ad
  3. 0x01b985f382e436dee33a00c0197c080f1321665978f57983b8ec93cf895f068a
  4. 0x0218e1b737d55ba18db3b1da19f045d5ea137496e1114e2bcb7c8e4c00bcdbff
  5. 0xd24f63740889ec2c3f5c15a2e88522b9332a6d88768151b2fe41516a2617c670
  6. 0x333c5f0205e5be17dad85c6b06e434fdc18f8341db433d10cc036105dae8e4bf
  7. 0xca87d985f57524ce9b359d554c0fa294d894deccf3fcb516d56d28f194b79536
  8. 0xb98cf7e522d426587291b83dae5cc7451c77df647298568a5a2f3cdea88d4412
  9. 0x293ea91512d4b5bfaae045acaf60ef2d22de878f0574945dcaa0c655a8c43c73
  10. 0xc4ff1fa7f303fed355e4fa9db2b2b2979c4aaf5cf1c573a5efa9b2d63b3dd462
  11. 0x4ad1cba264cd30b4cce9fb7c52897b51c3d91649c3d00e37d10c56aed923e338
  12. 0x3f193b47c78cf4e7b9e4988cd716854b0e1011e5fcbca161f5a885f1aa02857d
  13. 0x06064dc1eb2363bec8c2a752e0a28aafc4bf0cb21d1b1b755821c1575bb77a96
  14. 0xc4fe2177880ea1b0e82b6fe4c270090fd0fbe5af3a42a8cbf6a6ba2fa35625f6
  15. 0x15039087bf60ae9b06b756ec3cbc299760e59923a438bbd91e34d105186db0ed
  16. 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON