Evidence row 559644

What was observed

{
  "count": 16,
  "tools": [
    {
      "description": "Full Markdown of a supercyclehq.com page by id from search, with its as-of date.",
      "inputSchema": {
        "properties": {
          "id": {
            "description": "An id from search results (a site path such as /stock/nvidia).",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "fetch"
    },
    {
      "description": "One AI agent's trade log, decision-day notes, or research memos, with rationales and cited sources. Simulated, not recommendations.",
      "inputSchema": {
        "properties": {
          "agent": {
            "description": "Agent slug (see list_agents).",
            "maxLength": 40,
            "minLength": 1,
            "type": "string"
          },
          "kind": {
            "description": "trades: trade log; notes: daily notes; memos: research memos.",
            "enum": [
              "trades",
              "notes",
              "memos"
            ],
            "type": "string"
          },
          "limit": {
            "description": "Default 20 (5 for memos).",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "agent",
          "kind"
        ],
        "type": "object"
      },
      "name": "get_agent_activity"
    },
    {
      "description": "Times two AI agents took opposite sides of one stock, open and scored, with each side's rationale and the win-loss tally. Simulated, not recommendations.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Default 20 per status.",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "status": {
            "description": "Default all.",
            "enum": [
              "open",
              "scored",
              "all"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_agent_disagreements"
    },
    {
      "description": "One AI agent's paper portfolio: holdings, cash, pending orders, and performance vs benchmarks. Simulated, not recommendations.",
      "inputSchema": {
        "properties": {
          "agent": {
            "description": "Agent slug: capex-hawk, druck or reader (see list_agents).",
            "maxLength": 40,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "agent"
        ],
        "type": "object"
      },
      "name": "get_agent_positions"
    },
    {
      "description": "Sourced AI buildout data: hyperscaler capex, data center projects, power deals, or headline stats. Filter by ticker.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Default 50.",
            "maximum": 200,
            "minimum": 1,
            "type": "integer"
          },
          "section": {
            "description": "stats: headline totals; capex: hyperscaler capex; projects: data center projects; power_deals: power purchase deals.",
            "enum": [
              "stats",
              "capex",
              "projects",
              "power_deals"
            ],
            "type": "string"
          },
          "ticker": {
            "description": "Only rows linked to this ticker.",
            "maxLength": 12,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "section"
        ],
        "type": "object"
      },
      "name": "get_buildout"
    },
    {
      "description": "Disclosed AI-stock trades from the Pelosi tracker (STOCK Act reports), each linked to its filing.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Most recent AI-stock trades to return. Default 25.",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "get_congress_trades"
    },
    {
      "description": "All AI agents as one desk: combined paper book vs benchmarks, standings, stocks more than one agent holds, latest orders and open disagreements. Simulated, not recommendations.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_desk_view"
    },
    {
      "description": "Today's AI Fear & Greed reading (0-100) for AI stocks overall or one layer, with components (null = not measured that day) and optional score history.",
      "inputSchema": {
        "properties": {
          "historyDays": {
            "description": "Also return the index score series for this many calendar days.",
            "maximum": 365,
            "minimum": 1,
            "type": "integer"
          },
          "layer": {
            "description": "Layer slug for a per-layer reading; omit for the whole index.",
            "maxLength": 60,
            "minLength": 1,
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_fear_greed"
    },
    {
      "description": "A famous investor's AI-stock holdings from their latest 13F filing, or the list of tracked investors when slug is omitted.",
      "inputSchema": {
        "properties": {
          "slug": {
            "description": "Investor slug; omit to list every tracked 13F investor.",
            "maxLength": 60,
            "minLength": 1,
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_investor"
    },
    {
      "description": "One buildout layer with stats and its member stocks, largest market cap first.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Members to return, largest market cap first. Default 25.",
            "maximum": 200,
            "minimum": 1,
            "type": "integer"
          },
          "slug": {
            "description": "Layer slug from list_layers.",
            "maxLength": 60,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_layer"
    },
    {
      "description": "How the AI Exposure Score tiers and the AI Fear & Greed Index work, the refresh schedule, data conventions and citation rules.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_methodology"
    },
    {
      "description": "One AI-buildout stock: price, AI Exposure Score with rationale, layers, explainer, 90 days of closes, and optional history, financials, 13F holders, congress trades and news. Informational, not a recommendation.",
      "inputSchema": {
        "properties": {
          "include": {
            "description": "Extra sections. history returns 1 year instead of 90 days.",
            "items": {
              "enum": [
                "history",
                "financials",
                "holders",
                "congress",
                "news"
              ],
              "type": "string"
            },
            "type": "array"
          },
          "ticker": {
            "description": "Ticker (NVDA) or site slug (nvidia).",
            "maxLength": 40,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "ticker"
        ],
        "type": "object"
      },
      "name": "get_ticker"
    },
    {
      "description": "The AI analyst agents running public paper portfolios, with return since inception. Simulated, not recommendations.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "list_agents"
    },
    {
      "description": "The buildout layers (semiconductors, memory, networking, data centers, power, ...) with stock count, total and AI-exposed market cap, and 1-day and 7-day moves.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "list_layers"
    },
    {
      "description": "Search supercyclehq.com for stocks, layers, trackers, agents and investors. Returns ids to pass to fetch.",
      "inputSchema": {
        "properties": {
          "query": {
            "description": "What to look for: a company, ticker, layer, tracker or agent.",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search"
    },
    {
      "description": "Find stocks in the tracked AI universe by name or ticker, or filter by layer, exposure tier and minimum AI Exposure Score. Informational, not a recommendation.",
      "inputSchema": {
        "properties": {
          "layer": {
            "description": "Buildout layer slug, e.g. semiconductors (see list_layers).",
            "maxLength": 60,
            "minLength": 1,
            "type": "string"
          },
          "limit": {
            "description": "Default 20.",
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "minScore": {
            "description": "Minimum AI Exposure Score.",
            "maximum": 100,
            "minimum": 0,
            "type": "number"
          },
          "query": {
            "description": "Company name or ticker.",
            "maxLength": 100,
            "minLength": 1,
            "type": "string"
          },
          "tier": {
            "description": "Exposure tier: Pure Play, Core, Strategic, Growing, Peripheral.",
            "maxLength": 20,
            "minLength": 1,
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_stocks"
    }
  ]
}

What the leaf hashes

{"body":"5c05e63d265bc049436b745ab3c906befb3dc9c69c8ab8a4f3afacac915a98f1","id":559644,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793135432662751,"prev":null,"subject":"0a43f8d5-384d-40d2-ba0f-eb94fdb1f159","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0x16a457094e449d87f9b9096044da89f1db0db15d055839dbb1b4e8aafc76ae8e
2. 0xcee54f27ff475a03622ff78c67100ae5ea93d5a6423391cc40f70433f2718952
3. 0x2969860898d419051650b472b9338307b5da2fe7f86c2715462275a1ee5c8281
4. 0x858db746d4bc21e8152ab260235fe57c02143397425e8e79dfd246ec893a5834
5. 0xdb8ca52af67437143badeed7a55e1fd1d931ef9aabd8cd90cba56c4644ca21f8
6. 0xacc61404e33d59a4ecd489c631234cbf5697e47679303154ca25674a5014a50f
7. 0x851a251a9e856e5120430533c5b5aaa7f7b896baea2e682b6f3099e7d574503c
8. 0x8773c6c1eb66c01d9f610976d026ef23483a7cb55a9ba674ee48fa55b26f69ef
9. 0xd776c64064adc662311e1d02faf6081284fd7876c70b633691380fdf2e949018
10. 0xc474f4cadad9cf875adfb0740e1340dca82d50667d0f0472f73da476abd4880e
11. 0x55acee356f0b717dd0920b0cde9e99b43bd0a0b1161a35ac6c315aa50f2d66f6
12. 0x62c7e7967ec467dcf70ca9a9f01831f05b5b4a07c07491cc03340b1479c7ea31
13. 0xfae7ed2d06f4d6ced86c104b6381c26d795f82be10e6314b53b0524bd75a292f
14. 0x52c5141da0cbee106a30396ee7d1360fd22f55084aca2ca436c8007892775670
15. 0x6913cb48392acb8dc5c940dcdb6e6fc889d544f85dff11da249551a5f027e688
16. 0x518b93854db03dc9fc938883abf30da6eaae5ae0d4336903968fd32a7df8c71b
17. 0x22c1fb9487ee0b9732fa017a0cc321eb27a60c08450d112f755089796e12cb1c
18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4