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Evidence row 567617

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 8dcd18e6-c38c-4d8f-9066-e535e700c175
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
7982b29fc2e1a3a99cfcac6c740fb54b73d6e0ba43e051d81d3eab4e8f6f6fef
Leaf
0xaf0f9c3c2d7bef0ddf088180a98d42912928f5423e6c723a48c5467c1754c481

What was observed

{
  "count": 5,
  "tools": [
    {
      "description": "Latest macro indicators of an economy (IMF World Economic Outlook and World Bank): growth, inflation, unemployment, debt, current account, GDP, with IMF projections. Cite results exactly as given in each result's \"cite\" field (\"Source: Global Macro Expert (globalmacro.expert), Siller Advisory; original source: [original source, license]\") plus the original source's own required attribution.",
      "inputSchema": {
        "properties": {
          "country": {
            "description": "Country name or ISO3 code, or World",
            "type": "string"
          }
        },
        "required": [
          "country"
        ],
        "type": "object"
      },
      "name": "get_country_macro"
    },
    {
      "description": "History of one series (id from search_series), optionally aggregated to W, M, Q or Y averages (period-end for rates). At most 400 points per call. Cite results exactly as given in each result's \"cite\" field (\"Source: Global Macro Expert (globalmacro.expert), Siller Advisory; original source: [original source, license]\") plus the original source's own required attribution.",
      "inputSchema": {
        "properties": {
          "end": {
            "description": "YYYY-MM-DD",
            "type": "string"
          },
          "frequency": {
            "enum": [
              "D",
              "W",
              "M",
              "Q",
              "Y"
            ],
            "type": "string"
          },
          "id": {
            "type": "string"
          },
          "start": {
            "description": "YYYY-MM-DD",
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_series"
    },
    {
      "description": "Platform tables: outlook (official forward price paths: EIA, ECB, IMF, World Bank), cot (CFTC long/short positioning), tradeflows (largest bilateral export flows and chokepoint traffic), geography (resources by country; give layer, e.g. copper_prod, lithium_res, oil_prod), calendar (central bank decisions and key releases), retail_energy (household and industrial electricity and gas prices with taxes by EU country, Eurostat), fuel (gasoline, diesel, heating oil, LPG pump prices with and without taxes by EU country, weekly), basket (consumer price inflation by item and country, HICP), taxwage (employer cost, gross wage, contributions, income tax, net pay at 67/100/167% of the average wage, OECD and Eurostat, EUR), occupations (gross hourly earnings by ISCO occupation group, 115 countries, EUR), labourcost (hourly labor cost by sector and minimum wages), equity_markets (stock market size by country: market capitalization USD and % of GDP, value traded, turnover, listed companies, World Bank; give country for one economy with history), equity_positioning (CFTC Traders in Financial Futures: dealers, asset managers, leveraged funds in S&P 500, Nasdaq-100, Russell 2000, Dow, Nikkei, MSCI EAFE/EM and VIX futures; no index levels), equity_ownership (holders of US corporate equities, Federal Reserve Z.1), stress (ECB CISS and OFR Financial Stress Index with percentiles). Optional country filter (ISO2, ISO3 or name) for the retail, labor and equity_markets tables. Cite results exactly as given in each result's \"cite\" field (\"Source: Global Macro Expert (globalmacro.expert), Siller Advisory; original source: [original source, license]\") plus the original source's own required attribution.",
      "inputSchema": {
        "properties": {
          "country": {
            "description": "optional country filter (ISO2, ISO3 or name) for retail, labor and equity_markets tables",
            "type": "string"
          },
          "layer": {
            "description": "geography layer id",
            "type": "string"
          },
          "name": {
            "enum": [
              "outlook",
              "geography",
              "cot",
              "tradeflows",
              "calendar",
              "retail_energy",
              "fuel",
              "basket",
              "taxwage",
              "occupations",
              "labourcost",
              "equity_markets",
              "equity_positioning",
              "equity_ownership",
              "stress"
            ],
            "type": "string"
          }
        },
        "required": [
          "name"
        ],
        "type": "object"
      },
      "name": "get_table"
    },
    {
      "description": "Search official announcements of central banks, statistics offices, international organizations and regulators archived on Global Macro Expert. Cite results exactly as given in each result's \"cite\" field (\"Source: Global Macro Expert (globalmacro.expert), Siller Advisory; original source: [original source, license]\") plus the original source's own required attribution.",
      "inputSchema": {
        "properties": {
          "institution": {
            "description": "optional source id or name",
            "type": "string"
          },
          "limit": {
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_releases"
    },
    {
      "description": "Find market and macro data series on Global Macro Expert by keyword (e.g. \"brent\", \"crude import\", \"german power\", \"copper\", \"gold positioning\", \"s&p 500 asset managers\", \"india market capitalization\", \"systemic stress\"). Returns ids with the latest value, date, unit and source (equities and stress series also carry their license and attribution line). Cite results exactly as given in each result's \"cite\" field (\"Source: Global Macro Expert (globalmacro.expert), Siller Advisory; original source: [original source, license]\") plus the original source's own required attribution.",
      "inputSchema": {
        "properties": {
          "limit": {
            "maximum": 25,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "Keywords",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_series"
    }
  ]
}

What the leaf hashes

{"body":"7982b29fc2e1a3a99cfcac6c740fb54b73d6e0ba43e051d81d3eab4e8f6f6fef","id":567617,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793138783922351,"prev":null,"subject":"8dcd18e6-c38c-4d8f-9066-e535e700c175","subject_kind":"endpoint"}

Proof

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

  1. 0xaf0fbdf5476c7e9677e01f7c734f3973a616988471abf4d054dca05139547e96
  2. 0x6cb8e3375edfe7ca1ebbdcc070af94e419d55b2935d160c6a27b59bb69d3e4fb
  3. 0x1defbcd507571933ad7245867d46298592f9d9b929503aa68a3d13ddd9fb3b3e
  4. 0x1e47a24c0d640e7415b7ae9af59be6652f504473f9d16a79f60597acb297121a
  5. 0x569c2a206900f762da116952c5e25f6818250818d8f79299d35777ede0ade22d
  6. 0x1701deb78e7855e42be2d18517afbbf5077054c63a74945fd0b0f0ea369d77fd
  7. 0x6bfddc18d9d270994a2295ef3a3db14edd227b7548733784beedc7c9a27fb030
  8. 0x3beaacce255c1e2abaeeb849d085fca77b790ad379eff0b3b3e63609779c0507
  9. 0x476aa92e38ba1437e530d33d7f685c35a893e56e2aaacbb23693509c50f1f191
  10. 0xfb2398796ce51972d9964eeb7752e1a9bd97a1bb1da62a7fa8de5665b92bfcff
  11. 0x1554a869917424e4ca64b7d38e6ca6cacdec1cf2cb654fa2dcd18eed4dcb9776
  12. 0x4cddbeeac8c1524fc617036c97fadc68ab084810bb271f11ef4210796d067f9d
  13. 0x4c82d20074b9d7d77e728b0250a2c662412d8d0f7eccff2d8100bfcc4434597f
  14. 0x98c6ed3e7b5bb7f1757a8660af410226a11dd563bf83010040c2ce059ab45e54
  15. 0xec7bb68216a4deb1960acfbbd75da88f7e468b58adb9cf3ec62f2790e46508b3
  16. 0x64c405a28e8819716221eb2529fe4ce277ab08025e17e685cbd5ece75ceb75c7
  17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON