Evidence row 19985

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://santismm.com/mcp"
    ],
    [
      "web",
      "https://santismm.com/en/mcp"
    ]
  ],
  "name": "Santismm Knowledge — Harness Engineering, Agentic AI & Governance",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-09-02T14:04:29.262044Z",
        "status": "active",
        "statusChangedAt": "2026-09-02T14:04:29.262044Z",
        "updatedAt": "2026-09-02T14:04:29.262044Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "_meta": {
        "io.modelcontextprotocol.registry/publisher-provided": {
          "com.santismm": {
            "attribution": "Santiago Santa María Morales — https://santismm.com",
            "bulk": {
              "graph": "https://santismm.com/api/graph.json",
              "labsOpenApi": "https://labs.santismm.com/openapi.json",
              "llmsFullTxt": "https://santismm.com/llms-full.txt"
            },
            "categories": [
              "knowledge-base",
              "ai-agents",
              "governance-and-compliance",
              "software-architecture"
            ],
            "contentLicense": "CC-BY-4.0",
            "contentLicenseUrl": "https://creativecommons.org/licenses/by/4.0/",
            "locales": [
              "en",
              "es",
              "pt"
            ],
            "tags": [
              "harness-engineering",
              "agentic-ai",
              "agent-patterns",
              "reference-architectures",
              "ai-governance",
              "agent-taxonomy",
              "context-engineering",
              "observability",
              "evaluation",
              "agent-economics",
              "human-supervision",
              "rag",
              "eu-ai-act",
              "iso-42001",
              "nist-ai-rmf"
            ]
          }
        }
      },
      "description": "Query core AI knowledge, essays, executable Labs, Homeric data and epistemic claims.",
      "icons": [
        {
          "mimeType": "image/png",
          "sizes": [
            "512x512"
          ],
          "src": "https://santismm.com/mcp-icon-512.png"
        },
        {
          "mimeType": "image/png",
          "sizes": [
            "128x128"
          ],
          "src": "https://santismm.com/mcp-icon-128.png"
        }
      ],
      "name": "com.santismm/knowledge",
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://santismm.com/mcp"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/santismm/santismm-knowledge-mcp"
      },
      "title": "Santismm Knowledge — Harness Engineering, Agentic AI & Governance",
      "version": "0.4.1",
      "websiteUrl": "https://santismm.com/en/mcp"
    }
  },
  "source": "mcp_registry",
  "summary": "Query core AI knowledge, essays, executable Labs, Homeric data and epistemic claims."
}

What the leaf hashes

{"body":"67e55a2cf48f4381d59a6e9473f3f47f193866aa17e10debe02de90fbba4b8a9","id":19985,"kind":"listing","method":"baseline/1","observed_us":1793025335431072,"prev":null,"subject":"mcp_registry:com.santismm/knowledge","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0xa5972a69c9c24f960f7c4e866dd0ec538c997547383d315605f15aad391eebb5
2. 0xebed97eaa6301187111d2ccf7c307591e4939c728726a4e7cea1e6aa3b64b427
3. 0xaf69712535b892852e57143f1c8ea6b3db8338b09f3e15a694e9db657427eddd
4. 0x3fdc68f123441133d9b0164cf8aa26b0b2a0db1231dd6cf7a9202339b77f1c9a
5. 0x56f2b14b9ca2a7efdd1f9421cbe75830dca0f3ab0582a724e88e677ee59e1130
6. 0xa4ac4c6973e1672b57979e7a0a26ade8eb704037dbe6f416a611e8d08c9aae57
7. 0xc643434e6d08dcf3f8dc48812a7e133abf922d48dbe1a149493162356cb7f847
8. 0x16170189ce7c601e1ebbf677c595af05bffe12c747ae955fa207cd476f59857a
9. 0x58e672db229959850d3ec0de683a0633e858d4012759fd7ef343b9ffe7ea5bbb
10. 0x494d50e7c2a667a94651588fb1c6bae6df468e826359a35ba4b503d878536df7
11. 0xf237135c66ca84b49bee4316c469fc0289ef400162349fc2344fca1bb98dbd0e
12. 0x21725c62783071369e87d9e0abedb3d8cc37bdab8d0d58308c28aeb7cfd2bc8c
13. 0xc34c13c58ba9c342ea1b833ac1882a4aea22777c4fd1092b2f83d3bac6b9f845
14. 0x428106f4ae4ec142f17aebf6fa50935242f8d3f1c211cf95d6351d03d11da2b7
15. 0x62a900133713919f4eed33d8336876b7a6d538233b8a4f3ed03b29aa44f5bad0
16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae