Evidence row 291022

What was observed

{
  "count": 7,
  "tools": [
    {
      "description": "Generate a new sourced encyclopedia article from a title (web search + LLM, ~15s). Returns the existing article instead if the topic is already covered. Daily rate limit applies — search first.",
      "inputSchema": {
        "properties": {
          "title": {
            "title": "Title",
            "type": "string"
          }
        },
        "required": [
          "title"
        ],
        "title": "create_topicArguments",
        "type": "object"
      },
      "name": "create_topic"
    },
    {
      "description": "Semantic search with optional filters. Use when keyword search misses, or to browse a category by meaning rather than exact wording.",
      "inputSchema": {
        "properties": {
          "category": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Category"
          },
          "difficulty": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Difficulty"
          },
          "limit": {
            "default": 10,
            "title": "Limit",
            "type": "integer"
          },
          "min_views": {
            "anyOf": [
              {
                "type": "integer"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Min Views"
          },
          "quality": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Quality"
          },
          "query": {
            "title": "Query",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "title": "discover_topicsArguments",
        "type": "object"
      },
      "name": "discover_topics"
    },
    {
      "description": "Replace one section of an article with corrected Markdown. Preferred over creating a duplicate topic when you find an error. Pass expected_revision (from read_topic) to avoid clobbering a concurrent edit.",
      "inputSchema": {
        "properties": {
          "content": {
            "title": "Content",
            "type": "string"
          },
          "edit_summary": {
            "default": "",
            "title": "Edit Summary",
            "type": "string"
          },
          "editor": {
            "default": "agent",
            "title": "Editor",
            "type": "string"
          },
          "expected_revision": {
            "anyOf": [
              {
                "type": "integer"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "title": "Expected Revision"
          },
          "section": {
            "title": "Section",
            "type": "string"
          },
          "slug": {
            "title": "Slug",
            "type": "string"
          }
        },
        "required": [
          "slug",
          "section",
          "content"
        ],
        "title": "edit_sectionArguments",
        "type": "object"
      },
      "name": "edit_section"
    },
    {
      "description": "Topics people searched for that don't exist yet, ranked by demand. The highest-leverage queue for deciding what to write next.",
      "inputSchema": {
        "properties": {
          "limit": {
            "default": 20,
            "title": "Limit",
            "type": "integer"
          }
        },
        "title": "list_missing_topicsArguments",
        "type": "object"
      },
      "name": "list_missing_topics"
    },
    {
      "description": "Get a short AI explanation of any phrase without generating a full article. Cheap and fast — use it to decide whether a topic is worth creating.",
      "inputSchema": {
        "properties": {
          "text": {
            "title": "Text",
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "title": "preview_phraseArguments",
        "type": "object"
      },
      "name": "preview_phrase"
    },
    {
      "description": "Fetch the full Markdown article for a topic slug, with infobox and citations.",
      "inputSchema": {
        "properties": {
          "include_sources": {
            "default": true,
            "title": "Include Sources",
            "type": "boolean"
          },
          "slug": {
            "title": "Slug",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "title": "read_topicArguments",
        "type": "object"
      },
      "name": "read_topic"
    },
    {
      "description": "Keyword search over Smartipedia article titles and summaries. Returns slugs and summaries; call read_topic with a slug for the full article.",
      "inputSchema": {
        "properties": {
          "limit": {
            "default": 10,
            "title": "Limit",
            "type": "integer"
          },
          "query": {
            "title": "Query",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "title": "search_topics_toolArguments",
        "type": "object"
      },
      "name": "search_topics"
    }
  ]
}

What the leaf hashes

{"body":"d24f0f49b240b3143a142e6fd802cafae7f19af808ffd67a0d7a17028fa3f807","id":291022,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793047797907337,"prev":null,"subject":"4e9da01c-86ca-4f5a-88af-ff0f2e0ae189","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. 0xd053061fbfc39129dd76418e1b27c17893fa51c83727d14f71e8155402ba6ece
2. 0x16c254059cfa02416e4ed37efa371208c76bf899482be821355db078c1327df4
3. 0xee07e953a1ac789e991c7eea77ddf8537561878cee401eca73fa919a56cbacfb
4. 0xbea55bbed5276e01ba9cd9ed812b1bc47f5371cd55e85502e94eea4a18cd7082
5. 0x5a3fbdea4de7adb4eb707421d8d4a84265d6aabf3df0b4ab6de964edb57c7ae3
6. 0x1e697afc65ff1c582809331c1aea4ae4f97dca299811fc2a3f4eb4c930e8279a
7. 0xc5f5150ede2af14e566410a050e50f134a3187d860458366dd6d5147036849df
8. 0xc9d718302491e0323592259564ee38d1d3bb65e750785f5a7831d93d960960c7
9. 0xfc7a9e704fb560a0dbea71e3d1ffd5c0fe170cb4c5aafc07785e0cdc0aa3ea3b
10. 0x0b6cb706c8b3f325ee28e22acdd9550d5608845cb77ee7fa124320b9a4aad34d
11. 0x026c75973d292b16fc9c1aefff047e2e4656075d16803275f6ae428cf2826ee1
12. 0x3f401930661bff9a668037b662b5b8766fa60035f100a3e9fc585c576d892ffa
13. 0xe43762a621da83c0b4b63f549cd2e19c428ac702bfc1038d70233867b06c447f
14. 0xefabf1105e09cf52c12c58e60cbb5048b9ac3f02631d1816a926e14bdd86fbdf
15. 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae