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Evidence row 1051794

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 8a0917f8-47b4-40bd-9e73-ce4986605eac
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
1734cbd6299ede2f73713b3df3ddd7306df9ffeb6dbbc8707698f4407992eebc
Leaf
0xaae490c19e0cb99947f3f82fafc0d154a05abd7cce6e582faa8a4a856dc0db64

What was observed

{
  "count": 12,
  "tools": [
    {
      "description": "Did the person's coins beat Bitcoin: their holdings as they would paste them on StockMap's Bitcoin test page (\"ETH 2, SOL 40 since Jan 15\"), priced then and now beside the same dollars held in Bitcoin, from CoinGecko's prices. Nothing is stored. Arithmetic on past prices: no call on any coin, and no advice on the holdings. Each answer carries the stamp, the sources and the not-advice line.",
      "inputSchema": {
        "properties": {
          "holdings": {
            "description": "The coins and amounts as the person would paste them, with a date if they gave one: \"ETH 2, SOL 40, DOGE 10000 since Jan 15\"",
            "maxLength": 4000,
            "minLength": 1,
            "title": "Holdings",
            "type": "string"
          },
          "since": {
            "anyOf": [
              {
                "format": "date",
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "When they bought, for holdings the paste gives no date (the page's \"Held since\"), YYYY-MM-DD",
            "title": "Since"
          }
        },
        "required": [
          "holdings"
        ],
        "title": "bitcoin_testArguments",
        "type": "object"
      },
      "name": "bitcoin_test"
    },
    {
      "description": "StockMap's published calls on two to five US stocks side by side, the same for every reader, by symbol or company name: each stock's nightly 14-day call, whether it changed last night, the insights for and against it, and how the model's past calls on it did. Use it when someone asks how two to five US stocks stack up against each other, or which of them the model's calls read stronger. Each answer carries the not-advice line and the run date.",
      "inputSchema": {
        "properties": {
          "stocks": {
            "description": "Two to five US stocks, each by symbol (NVDA, BRK.B) or company name (Nvidia)",
            "items": {
              "type": "string"
            },
            "maxItems": 5,
            "title": "Stocks",
            "type": "array"
          }
        },
        "required": [
          "stocks"
        ],
        "title": "compare_stocksArguments",
        "type": "object"
      },
      "name": "compare_stocks"
    },
    {
      "description": "Which US crypto stocks StockMap's model leans on: how many it leans outperform, neutral or underperform, how many of its graded two-week windows on them were right, and Bitcoin's move since the last US close. The calls are the stock model's, on the stocks, never on coins. Each answer carries the stamp, the sources and the not-advice line.",
      "inputSchema": {
        "properties": {},
        "title": "crypto_stocksArguments",
        "type": "object"
      },
      "name": "crypto_stocks"
    },
    {
      "description": "Why crypto is up or down today, from StockMap's Crypto today page: Bitcoin's 24-hour move, how many coins beat it, funding, and the hour's paragraph, every number with its source. Market data with no call on any coin. Each answer carries the stamp, the sources and the not-advice line.",
      "inputSchema": {
        "properties": {},
        "title": "crypto_todayArguments",
        "type": "object"
      },
      "name": "crypto_today"
    },
    {
      "description": "Is it altseason: how many of the top-100 coins (stablecoins out) beat Bitcoin over the last 7 days, beside how many lag it in a typical week, from StockMap's Altseason page. Market data with no call on any coin. Each answer carries the stamp, the sources and the not-advice line.",
      "inputSchema": {
        "properties": {},
        "title": "is_it_altseasonArguments",
        "type": "object"
      },
      "name": "is_it_altseason"
    },
    {
      "description": "What changed in StockMap's calls last night: how many stocks' calls changed band on the market map and the biggest of them, the calls graded last night (made 14 days earlier) with one line on why each was right or wrong, and when the next run starts. Each answer carries the not-advice line and the run date.",
      "inputSchema": {
        "properties": {},
        "title": "last_nightArguments",
        "type": "object"
      },
      "name": "last_night"
    },
    {
      "description": "The US stock market on StockMap's map: the 11 sectors, each with its share of the market, its 2-week lean from the model's nightly calls on its stocks, its move on the day and its best and worst stock. A summary, not every stock. Use it when someone asks how the US market looks, or which sectors lead or lag. Each answer carries the not-advice line and the run date.",
      "inputSchema": {
        "properties": {},
        "title": "market_mapArguments",
        "type": "object"
      },
      "name": "market_map"
    },
    {
      "description": "The signed-in person's StockMap watchlists: each list's stocks with the model's published call on each (the same call every reader sees), the calls that changed last night first. Each answer carries the not-advice line and the run date.",
      "inputSchema": {
        "properties": {},
        "title": "my_watchlistsArguments",
        "type": "object"
      },
      "name": "my_watchlists"
    },
    {
      "description": "StockMap's read of one US sector or industry, by name (Information Technology, semiconductors, banks): its 2-week lean from the model's nightly calls, how its stocks' calls split, its industries, and its largest stocks with each one's call and move on the day. Use it when someone asks how a US sector or industry looks, or which of its stocks look strong or weak. Each answer carries the not-advice line and the run date.",
      "inputSchema": {
        "properties": {
          "name": {
            "description": "A US sector or industry by name: Information Technology, Health Care, semiconductors, banks, software",
            "title": "Name",
            "type": "string"
          }
        },
        "required": [
          "name"
        ],
        "title": "sectorArguments",
        "type": "object"
      },
      "name": "sector"
    },
    {
      "description": "StockMap's published call on one US stock, the same for every reader, by symbol or company name: the model's nightly 14-day call, the strongest reasons for and against, how its past calls on the stock did, the price and the day's change, and what changed last night. Use it when someone asks how a US stock looks, whether it reads strong or weak right now, or what the model's call on it is. Each answer carries the not-advice line and the run date.",
      "inputSchema": {
        "properties": {
          "stock": {
            "description": "A US stock's symbol (NVDA, BRK.B) or its company name (Nvidia)",
            "title": "Stock",
            "type": "string"
          }
        },
        "required": [
          "stock"
        ],
        "title": "stock_callArguments",
        "type": "object"
      },
      "name": "stock_call"
    },
    {
      "description": "Remove a US stock from the signed-in person's StockMap watchlists.",
      "inputSchema": {
        "properties": {
          "stock": {
            "description": "A US stock's symbol (NVDA, BRK.B) or its company name (Nvidia)",
            "title": "Stock",
            "type": "string"
          }
        },
        "required": [
          "stock"
        ],
        "title": "unwatchArguments",
        "type": "object"
      },
      "name": "unwatch"
    },
    {
      "description": "Add a US stock to the signed-in person's StockMap watchlist: to the list named (made if it is new) or their first list. A stock is on one list at a time, so naming another list moves it.",
      "inputSchema": {
        "properties": {
          "stock": {
            "description": "A US stock's symbol (NVDA, BRK.B) or its company name (Nvidia)",
            "title": "Stock",
            "type": "string"
          },
          "watchlist": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "The list's name, made if the person has none by that name; left out, their first list",
            "title": "Watchlist"
          }
        },
        "required": [
          "stock"
        ],
        "title": "watchArguments",
        "type": "object"
      },
      "name": "watch"
    }
  ]
}

What the leaf hashes

{"body":"1734cbd6299ede2f73713b3df3ddd7306df9ffeb6dbbc8707698f4407992eebc","id":1051794,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793301891861051,"prev":null,"subject":"8a0917f8-47b4-40bd-9e73-ce4986605eac","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (242798 rows).

  1. 0xaae4a2e8ffa19c93edee5cd831ae0b135ff37e8057e5434923499b04fb72c8f0
  2. 0xab4e6aa31d9591d4ae2687c283d2c800c3b5fe69a4aaf2002e46bf68d8800b33
  3. 0x7a3a6c3ac553ba020cd341d8379d4d5a0b02092452527027fc2f0824c4b5eded
  4. 0xb8f473ebbdff096e8d91288fbf378e5287edba0275db54c435a56f68bf74b5d7
  5. 0x1fdb70cc8fe144086e879230eb94707f7614e71026f5fdac98b8fa02d5639f02
  6. 0xcd23c7d24c428d1976717ea170eeddb15798b54549d632643664a3fe1717cfbf
  7. 0xd8cd12e95fa59ce52867582edbde69999e0a55fbf465cfc7366725bf080231c8
  8. 0x602f28d5ca34c3c23a013b5b2ce59f0d9efe3ba9226e4e42c04ae925fa2634aa
  9. 0x4e194e412e4e56687807cdbc7b66b3b664007fd9b6cffdc1c607ab94c56a207b
  10. 0x65be39ad985083b32e09710569625711d893f05293c0fff8e0446a6b41f1a3ba
  11. 0xb0601a744f33fffce162a30fac248900c6222d36116c46a522bb38ddff8282d5
  12. 0x30b71c9ad81534a2e54b42e8e11b8db6408ad0afb99a592dd2e13fd9406e106d
  13. 0x35c7b2a2b845b27a74bd69a957781fb72baa9a27e8b6f27873316c80197e72dd
  14. 0x391d7d4dd95ff3f26ed046f59cb7617fe53d7bb32216fddedcb614635f3079dc
  15. 0x4a1f9fe26bf92c291485b5fb33b95d1917a994e417ac0526ccef55ede0a90a4c
  16. 0xe38dc587bc010668982bd78025ac33d7326ffc2587f2de00e848da2718907ecf
  17. 0xa1fa2e97e71ad6e802f325afd74bb7095901f2060529c9739182a1233f8804bc
  18. 0xe01539ac4c9f9cdf265a9e5c6d99c8da11e70ff0c7175fb23e402d33b9d79785
Day root
0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c
Chained
0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6
Published
On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1

How to check it · This row as JSON