Evidence row 294116

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Fetch a web page and return all of its outbound http(s) links (with anchor text) as JSON. Useful for crawling or finding related pages.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Max links to return (default 200).",
            "type": "number"
          },
          "url": {
            "description": "The absolute http(s) URL of the page.",
            "type": "string"
          }
        },
        "required": [
          "url"
        ],
        "type": "object"
      },
      "name": "extract_links"
    },
    {
      "description": "Fetch a web page and return its main content as clean Markdown (nav, ads and boilerplate removed). Raw Markdown, plain-text and JSON endpoints are returned as-is. Use this to read an article, docs page or raw file.",
      "inputSchema": {
        "properties": {
          "max_chars": {
            "description": "Optional. Truncate the Markdown to at most this many characters to fit a context budget.",
            "type": "number"
          },
          "url": {
            "description": "The absolute http(s) URL of the page.",
            "type": "string"
          }
        },
        "required": [
          "url"
        ],
        "type": "object"
      },
      "name": "fetch_markdown"
    },
    {
      "description": "Fetch a web page and return its metadata as JSON: title, byline, site name, excerpt and word count (no full body).",
      "inputSchema": {
        "properties": {
          "url": {
            "description": "The absolute http(s) URL of the page.",
            "type": "string"
          }
        },
        "required": [
          "url"
        ],
        "type": "object"
      },
      "name": "fetch_metadata"
    },
    {
      "description": "Fetch a web page and return only the passages that match a query, instead of the whole page. Each result includes its heading breadcrumb and is ranked by relevance. Use this to find a specific detail (e.g. pricing, a config option) while spending far fewer tokens than fetch_markdown.",
      "inputSchema": {
        "properties": {
          "context_chars": {
            "description": "Per-passage character budget (50-4000, default 500).",
            "type": "number"
          },
          "max_matches": {
            "description": "Max passages to return (1-50, default 5).",
            "type": "number"
          },
          "query": {
            "description": "Space-separated search terms; matching is case-insensitive.",
            "type": "string"
          },
          "url": {
            "description": "The absolute http(s) URL of the page.",
            "type": "string"
          }
        },
        "required": [
          "url",
          "query"
        ],
        "type": "object"
      },
      "name": "search_page"
    }
  ]
}

What the leaf hashes

{"body":"852cca1f94ecd1bf28bbace5b06e6a69b5772613b0ad5f5334ead55295dbe0f6","id":294116,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793049888986392,"prev":null,"subject":"e08c6722-c0a2-4510-bf88-8cf25c333233","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. 0xadf38fe3f73fc857d4cbbb6f8c69cd445f8ce28d23a1ca621fa9225a3f6fda7b
2. 0x10139538b8868234c1d0b0fa3fb93e4a075661f543896fca89d00d5e8a0bc942
3. 0x9c05db1b0fe7a06e8131d5a3c43018622a9fb269ffb33eb7f0e03de08cf9dea8
4. 0xb02ec01f96f94659e1475d25bce54b83381970df1a43943adf8b610e11f99b59
5. 0xa01d6e89a7d13e66e322f3fdbb554ca12edec471d13fe7f519a2af59072650f7
6. 0xaa325d700389c0345941b1295e4775e1c21b2375c33eee2cb594b3fd51ea50c6
7. 0x045d6e11f760223a9592c69eda06e17e3dee349d6bb54c389421d03ec1462b55
8. 0x035507aa30e20f9e07a6695eb10f4b8fb1e0bb60996d43217fb9ca8e9259a8b4
9. 0x80fe5c3f24b47a73955a91ae2241f691c79abce83a2732d5e9eaf806332c2ccb
10. 0x3c54c01bf4318d5a836732de25aa152fd493cfc74e9e7d61b6833262a76c28e9
11. 0x3ed84d9e7fe1a3a53a5614d97b48e393d726ca06109e83696375afe5ad01fd8f
12. 0x51f06c175a7c946ebe50ef243d6f9370a8fe85c996e53eff19ffcc4585ea8c18
13. 0xe292b5a99219f136bce6647ce74b21240a1c7331d2475b1839220fd363c94217
14. 0x3b4dba7d874fc323b0a364140a9c60f37bf547fe671897653118a9873fe03420
15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae