addrbookFor publishers
← The evidence ledger

Evidence row 305941

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 6f9c8d32-12aa-4d22-a9b7-f2be9058f5f4
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
ebe6adf46a459e63aa03c5b0edbe2b93f878dd63045fb46b262835a129654075
Leaf
0xc5b58f5c2800af41892aac659c505e74a3550dcfc1d397f793f9445615094e9f

What was observed

{
  "count": 7,
  "tools": [
    {
      "description": "U.S. County Business Patterns — number of businesses (establishments), employees, and payroll by industry (NAICS code) and state. Answers: How many tech companies in California? Total healthcare employees in Texas?",
      "inputSchema": {
        "properties": {
          "naics": {
            "default": "51",
            "description": "NAICS industry code: 51=Tech/Info, 52=Finance, 53=Real Estate, 54=Professional Services, 62=Healthcare, 23=Construction, 44=Retail, 72=Food/Hospitality",
            "type": "string"
          },
          "state": {
            "description": "2-letter state code (CA, TX, NY). Omit for all states.",
            "type": "string"
          },
          "year": {
            "default": "2021",
            "description": "Data year (default: 2021)",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_business_patterns"
    },
    {
      "description": "Get U.S. Census demographic data by state or county. Population, median income, poverty rate, unemployment, home values, and education level.",
      "inputSchema": {
        "properties": {
          "level": {
            "default": "state",
            "description": "state (default) or county",
            "type": "string"
          },
          "state": {
            "description": "2-letter state code (CA, TX, NY). Omit for all states.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_demographics"
    },
    {
      "description": "Get energy prices from the U.S. Energy Information Administration. WTI crude, Brent crude, natural gas.",
      "inputSchema": {
        "properties": {
          "limit": {
            "default": 12,
            "description": "Weekly data points",
            "type": "number"
          },
          "series": {
            "default": "wti_crude",
            "description": "wti_crude (default), brent_crude, natural_gas",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_energy"
    },
    {
      "description": "Get U.S. CPI inflation data from the Bureau of Labor Statistics. Returns latest value, YoY change, and MoM change.",
      "inputSchema": {
        "properties": {
          "months": {
            "default": 13,
            "description": "Months of history (default 13)",
            "type": "number"
          },
          "series": {
            "default": "all_items",
            "description": "all_items (default), core (ex food/energy), food, energy, shelter, medical",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_inflation"
    },
    {
      "description": "Get U.S. labor market data from BLS. Unemployment rate, nonfarm payrolls, job openings, and wages.",
      "inputSchema": {
        "properties": {
          "months": {
            "default": 13,
            "description": "Months of history",
            "type": "number"
          },
          "series": {
            "default": "unemployment_rate",
            "description": "unemployment_rate (default), nonfarm_payrolls, job_openings, avg_hourly_earnings, labor_force_participation",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_jobs"
    },
    {
      "description": "Get macroeconomic indicators from FRED (Federal Reserve). GDP, Fed funds rate, Treasury yields, housing starts, retail sales.",
      "inputSchema": {
        "properties": {
          "limit": {
            "default": 12,
            "description": "Data points to return",
            "type": "number"
          },
          "series": {
            "default": "fed_funds_rate",
            "description": "gdp, fed_funds_rate (default), treasury_10y, treasury_2y, yield_curve, housing_starts, retail_sales, consumer_sentiment",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_macro"
    },
    {
      "description": "Get U.S. national debt (daily, to the penny) and average interest rates on Treasury securities from the U.S. Treasury.",
      "inputSchema": {
        "properties": {
          "limit": {
            "default": 10,
            "description": "Number of records",
            "type": "number"
          },
          "series": {
            "default": "debt",
            "description": "debt (national debt, default) or interest_rates",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_treasury"
    }
  ]
}

What the leaf hashes

{"body":"ebe6adf46a459e63aa03c5b0edbe2b93f878dd63045fb46b262835a129654075","id":305941,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793056730862025,"prev":null,"subject":"6f9c8d32-12aa-4d22-a9b7-f2be9058f5f4","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xc5b55a27597575a90f099ffbe7494d94a9ffb1c48f7a44e08e87579b90452b35
  2. 0xf02fb50224b17fe2d32bae7a7963863e009a8721275e208f58289e4c0a1b705e
  3. 0x53717506ff3db203cf7d4b05c2bd3ca02a5d1a176750dbeed4a0694d486f21df
  4. 0xf4b5eec5af8f7bff71c7e66746c1d8a4fdc80d931583b0f39a07dbc1da81f723
  5. 0xa5ef938d996eadc28ea4f7dc195895650c4088f9e3efc1d7af39a9f2c09b593c
  6. 0xa6629f0befc093cfee12cc6bbbf26e3e42860647c4d48ca080fcf5d105e5d862
  7. 0x891a71fad2c54375d944d24d111565733947a996b6243b49233266e69be1b368
  8. 0x0089871b9926bfffec06bda92e8c5aa3f1051796e8ec0d1d1b7044d7eb67b292
  9. 0xb94e1475ad75058bab5545aea4c4c9f6c4a6f7250aaaad0f06b4c4485f1643f9
  10. 0x4a766015a1173570ffc438320afd677a41ae92be39f86b768798615ce79c79a4
  11. 0xd2a07d39f43cc6c0a549d9e0f8d8244992bef3f66efa78aea10852590e0fc7dd
  12. 0x4d1a020de7fc0aa076daeb62ebb904d51ac6c607b605eb63a7855f34d7b69f1b
  13. 0x641fba1f23ec69d96721e34ace1926954d835b9614cb5eae215a069c056399b8
  14. 0xdbe2e8dd65ea1248b2936612538f18268abd5cf27ebdab3737694571ad496004
  15. 0x9f68b5e15459cb62b8c0cd4c124fa61c74147b4a5755a200fbecd21a581635d1
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON