addrbookFor publishers
← The evidence ledger

Evidence row 3776315

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 8a0917f8-47b4-40bd-9e73-ce4986605eac
Recorded
Previous row
#3002598
Body SHA-256
e0879e0999132a72f1fde7ff36a0a45c7acfb174260c4b84b505c5e220097a5e
Leaf
0x5714386d7bae9b515738959ff0690a6b5f5e1d594e2dd32b4273196f2dced422

What was observed

{
  "count": 13,
  "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 read (a call or a lean), 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": "The crypto market on StockMap's coin map: the 250 largest coins by market value (CoinGecko), grouped by theme (layer 1, stablecoins, exchange tokens, memes and more), with Bitcoin's share of all crypto, each theme's move over 24 hours and the biggest moves. Its card draws the coins as StockMap's heatmap, Bitcoin to scale and the stablecoins at the edge, or as bubbles, live. Market data with no call on any coin. Each answer carries the stamp, the sources and the not-advice line.",
      "inputSchema": {
        "properties": {
          "view": {
            "default": "map",
            "description": "How the card draws the coins: \"map\", StockMap's coin map, or \"bubbles\", the biggest coins as bubbles sized by market value",
            "enum": [
              "map",
              "bubbles"
            ],
            "title": "View",
            "type": "string"
          }
        },
        "title": "crypto_mapArguments",
        "type": "object"
      },
      "name": "crypto_map"
    },
    {
      "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. Its card draws the market as StockMap's heatmap of every sector's biggest stocks, or as bubbles, live in market hours. Each answer carries the not-advice line and the run date.",
      "inputSchema": {
        "properties": {
          "scope": {
            "default": "all",
            "description": "Which stocks the card draws: \"all\", every US stock StockMap maps, or \"sp500\", the S&P 500's",
            "enum": [
              "all",
              "sp500"
            ],
            "title": "Scope",
            "type": "string"
          },
          "view": {
            "default": "map",
            "description": "How the card draws the market: \"map\", StockMap's heatmap of every sector's biggest stocks, or \"bubbles\", the biggest stocks as bubbles sized by market value",
            "enum": [
              "map",
              "bubbles"
            ],
            "title": "View",
            "type": "string"
          }
        },
        "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. Its card draws the sector's or industry's stocks as StockMap's heatmap, coloured by their move. 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 read (a call or a lean), 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 read 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":"e0879e0999132a72f1fde7ff36a0a45c7acfb174260c4b84b505c5e220097a5e","id":3776315,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1794001381352656,"prev":3002598,"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 (303443 rows).

  1. 0x571492b7ed236e0ee68244948ba84647875315cbdf03be9a9b68478ec568a571
  2. 0x6083cf4e84e171f04aeb171c6f283ed19321bc970d0ed9dd45effc410315642f
  3. 0xd10b74c600e044359045904c6ed5d6a64b09b13a03d110d216b8f635e90a27b8
  4. 0x023d5802d2e3f8f286ede0fc83ee64fe6e4483648cd4070e6cca232a99756ec2
  5. 0xb16d84c432694861177e291bad182ba9ee3152d1884a8a72a22230befd4a763d
  6. 0x59eb7b2d3607ae8fe690aaaf1d7cbb5be9614abc96720e10678471abade3a2d0
  7. 0x78715cba4b41492ef5980443477007e33c5453fdc66d24fd4fdd44a37ea85886
  8. 0xc34b21952d514b3101823abf305e9ddb8fdfdc5e86ca7913af51063542cb4e5a
  9. 0xec0cd6fe0929712bb93c29b2c6a7afb61c004dc4ee1ec3efa744aa22cebb70f1
  10. 0x9518876b67ec917afeb1ce0e01fba481a366a1ab96dfb46ac0f782cbec8bff0e
  11. 0x5bee998fe99ede06bcb98be8343c2a5592de08fd64a26da790e66966a7f1c076
  12. 0x209456bf0d4af94c67b7caa685cd21b00f88ec2e9ec8b974326c9d15b459aba0
  13. 0xbcc512453e412b86ccf5dd70c8388628107f6354266b2aab39126c372f454b40
  14. 0x7abf7584949efd3b63bcfb8ca39ee05f7142b48c7862889137843da44a858a72
  15. 0xf5bd84a61225f062ef205a5e8dc4f170a403665fdfa49b2b923457e0386f3abe
  16. 0x7a2e5c8104eb5015bfa08d52a9278aa0b4da48bd2fb98690cc2d1c225b5dc691
  17. 0x4a618d78b1cebba8beec4ef22aaac9187dcdfb39064e0be537ca2600abb90740
  18. 0x119743aadcddb571b28b442b62196d4a0afc4e1c9979c2d477d34fcc9413deaf
  19. 0xc0d08d48601d1be90bcfc025e66bcaa0030120d688dd9c919b36c2c4446f4948
Day root
0xb30ccefe7182c6f767e1fcbfb5f64ffd649da831f665f65c5ff39cd40512284f
Chained
0xc383f7ef68d2914082484765aa09e42c12c59a74a096ae64127c562618c506d3
Published
On Arc Testnet, block 71111178: 0xfba13cb7ee4ada7f2fee3702a786a2201596be2ffea37dfc281ab4c8e9942fe1

How to check it · This row as JSON