Evidence row 223164

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Compile an agent file into a deterministic, content-addressed brain.\n    content = the file as a string; format = verdigraph_genome |\n    claude_project_export | openai_assistant | prompt_list | auto.\n    Returns brain_id, content_hash, node/edge counts, the 9-invariant\n    firing report, and provenance. Identical bytes always produce the\n    identical brain_id (VB1). include_document=true returns the full\n    graph.",
      "inputSchema": {
        "properties": {
          "content": {
            "title": "Content",
            "type": "string"
          },
          "format": {
            "default": "auto",
            "title": "Format",
            "type": "string"
          },
          "include_document": {
            "default": false,
            "title": "Include Document",
            "type": "boolean"
          },
          "request_id": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Request Id"
          }
        },
        "required": [
          "content"
        ],
        "title": "build_brainArguments",
        "type": "object"
      },
      "name": "build_brain"
    },
    {
      "description": "Return capabilities and input contract.",
      "inputSchema": {
        "properties": {},
        "title": "describe_agentArguments",
        "type": "object"
      },
      "name": "describe_agent"
    },
    {
      "description": "Detect which supported agent-file format the content is\n    (verdigraph_genome, claude_project_export, openai_assistant,\n    prompt_list) before building.",
      "inputSchema": {
        "properties": {
          "content": {
            "title": "Content",
            "type": "string"
          }
        },
        "required": [
          "content"
        ],
        "title": "detect_formatArguments",
        "type": "object"
      },
      "name": "detect_format"
    },
    {
      "description": "Machine-check a cognition claim: recompute the brain from the\n    submitted content and compare against the claimed brain_id and/or\n    content_hash. valid=true iff every claimed identifier matches the\n    deterministic recomputation (VB3).",
      "inputSchema": {
        "properties": {
          "brain_id": {
            "default": "",
            "title": "Brain Id",
            "type": "string"
          },
          "content": {
            "title": "Content",
            "type": "string"
          },
          "content_hash": {
            "default": "",
            "title": "Content Hash",
            "type": "string"
          },
          "format": {
            "default": "auto",
            "title": "Format",
            "type": "string"
          }
        },
        "required": [
          "content"
        ],
        "title": "verify_brainArguments",
        "type": "object"
      },
      "name": "verify_brain"
    }
  ]
}

What the leaf hashes

{"body":"6a762b777dfabe99b11bc1b7a0049c6d1bc0ff7a30fc093d2b9747bae944ece9","id":223164,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793028535697909,"prev":null,"subject":"cd663e6d-dcf0-46d8-b883-02ca05f63097","subject_kind":"endpoint"}

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. 0x993f16290f90a3a718d5c4f8a8c310843866415cfd6e86b84b1fecc60207e3df
2. 0x92bd3390916c46a48ea58bc95d42a21f89918ebd19492d577c0ba4c83a277449
3. 0x6c210573fc8cf40529dc49df831a957bd35adb3a4f750b5a991376faf2bf99e0
4. 0x94c51620178b8c7e8e8e9e5099f28252c2a67fbf8220b595f86efea21b7e6550
5. 0x44b04c03000be63a9664f03c420df63ef6b3c3dd0a5b58f09c0d252175e47985
6. 0x7f238f1e282beb0c04754c048a7d93d1d07bc1ddc296b3c1b783aec6802bbd5a
7. 0x122a3f58d8d634b20d211cd7a9cff65711eb46824c7612547b7fc3bb8933bbf8
8. 0xf00615505c0adaf31600f9a6a2dfbe5eb4c1c33a69ad3bf4b909d06499a391cf
9. 0xf8ef2b6c2385981df0d65e525be8511d87776483608ec05b763f85d1296badd6
10. 0x2902a29ff231b32ccac2765997f18f1504daedb7f97ee4f0577f4a8edf0e7293
11. 0xd3f19437d703373e99e0bf69c4ca06561426260f599f7d259e3257085a387573
12. 0x6ae9e6ee1b544d831982666bd3570457659e78fc0064894d7ec23f971a37ff2f
13. 0x239fd39716710e7412bd120c373072b4c0d8b11bb9ee431dad62a2ce57b3d6f4
14. 0x49062da782c4f73855ddd5fdd51840749f928b5f17d1ce75ac50f2d829104e72
15. 0xf0bd63870f0bb378fa300bd33563050dcb7b3e02b44eb3ee550c1c534ec4b246
16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae