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Evidence row 1026872

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 46fdadcf-9d14-49e4-a15d-0b0645b524f4
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
3ec6a921df44414573abfefa76b7b7e7c85e3f71d00571c9e8c48bf582b5aded
Leaf
0x967a6da6334939675edf81e733ae2942b7b6bd3d4fdb31b039cf88b085784102

What was observed

{
  "count": 7,
  "tools": [
    {
      "description": "Use this when you need to know whether the next hours contain a market-moving event: US macro releases, FOMC, Treasury auctions, SEC-filed or estimated earnings, and options expiry, each with an impact tier. Free. License: cleared. Attribution required: Sources: BLS, BEA, U.S. Census Bureau, DOL, Federal Reserve Board, U.S. Treasury (TreasuryDirect), SEC EDGAR. This service uses BEA data but is not endorsed or certified by BEA.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "hours": {
            "description": "Look-ahead window in hours (1-168, default 48).",
            "maximum": 168,
            "minimum": 1,
            "type": "integer"
          },
          "include_estimated": {
            "description": "Include estimated (not yet SEC-confirmed) earnings dates (default true).",
            "type": "boolean"
          },
          "kinds": {
            "description": "Comma-separated filter: macro, fed, treasury_auction, earnings, options_expiry.",
            "type": "string"
          },
          "min_tier": {
            "description": "Lowest impact tier to include.",
            "enum": [
              "low",
              "medium",
              "high"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_catalysts"
    },
    {
      "description": "Use this when sizing an earnings trade: historical day-1 / day-5 move distribution per ticker around SEC 8-K Item 2.02 earnings releases. Free. License: cleared_with_attribution. Attribution required: Data provided for free by IEX. By accessing or using IEX Historical Data, you agree to the IEX Historical Data Terms of Use. IEX Historical Data Terms of Use: https://www.iex.io/legal/hist-data-terms Release times: SEC EDGAR. Statistics: PrintLine (cev-os).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "ticker": {
            "description": "S&P 100 / NASDAQ-100 ticker (required).",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_earnings_reactions"
    },
    {
      "description": "Use this when you need recent geopolitical, conflict and natural-hazard incidents mapped to the asset classes and liquid proxies they can move (oil, grains, gas, semis, gold, Treasuries, country ETFs). Free. License: cleared_with_attribution. Attribution required: The GDELT Project (https://www.gdeltproject.org/); Uppsala Conflict Data Program (UCDP), CC BY 4.0; U.S. Geological Survey; GDACS (EC-JRC / UN OCHA), not for life-safety use. Asset tagging by cev-os TRIPWIRE.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "asset": {
            "description": "Case-insensitive substring filter on asset tags, e.g. oil, semiconductors, gold.",
            "type": "string"
          },
          "min_severity": {
            "description": "Minimum severity 1-5.",
            "maximum": 5,
            "minimum": 1,
            "type": "integer"
          },
          "region": {
            "description": "Region filter.",
            "enum": [
              "Middle East",
              "Europe",
              "East Asia",
              "South & Southeast Asia",
              "Africa",
              "Americas",
              "Oceania",
              "Other"
            ],
            "type": "string"
          },
          "since_hours": {
            "description": "Incidents updated in the last N hours (1-168, default 24).",
            "maximum": 168,
            "minimum": 1,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "get_incident_assets"
    },
    {
      "description": "Use this when you need official US release times (CPI, PPI, payrolls, GDP, PCE, retail sales, JOLTS, trade balance, productivity, claims, FOMC, ISM dates) with actual and prior values once released. Free. License: cleared. Attribution required: Sources: U.S. Bureau of Labor Statistics, U.S. Bureau of Economic Analysis, U.S. Census Bureau, U.S. Department of Labor, Federal Reserve Board; values via FRED, Federal Reserve Bank of St. Louis. This service uses BEA data but is not endorsed or certified by BEA.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "event": {
            "description": "Comma-separated event types: cpi, ppi, employment_situation, jolts, eci, gdp, pce, retail_sales, jobless_claims, fomc_decision, fomc_minutes, ism_manufacturing, ism_services, trade_balance, productivity",
            "type": "string"
          },
          "from": {
            "description": "Start date (ET), YYYY-MM-DD. Default: today minus 30 days.",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          },
          "limit": {
            "description": "Max events (1-1000, default 500).",
            "maximum": 1000,
            "minimum": 1,
            "type": "integer"
          },
          "status": {
            "description": "released or scheduled",
            "enum": [
              "released",
              "scheduled"
            ],
            "type": "string"
          },
          "to": {
            "description": "End date (ET), YYYY-MM-DD. Default: today plus 60 days.",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_macro_calendar"
    },
    {
      "description": "Use this when you want one slow-moving macro regime flag (risk_on / neutral / risk_off) with its transparent inputs: yield curve, financial conditions, financial stress, unemployment trigger and jobless-claims trend. Free. License: cleared_with_attribution. Attribution required: Federal Reserve Board (H.15), Federal Reserve Bank of Chicago (NFCI), Federal Reserve Bank of St. Louis (STLFSI4), U.S. Bureau of Labor Statistics (UNRATE), U.S. Department of Labor (ICSA); retrieved from FRED, Federal Reserve Bank of St. Louis.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "get_macro_regime"
    },
    {
      "description": "Use this when you need a quick risk-sentiment read before acting: Crypto Fear & Greed (alternative.me) and the VIX daily close (FRED), each with its own timestamp and source. Free. License: citation_required. Attribution required: Data: alternative.me Chicago Board Options Exchange, CBOE Volatility Index: VIX [VIXCLS], retrieved from FRED, Federal Reserve Bank of St. Louis",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "get_market_mood"
    },
    {
      "description": "Use this when you need to know whether a scheduled US release (CPI, PPI, payrolls, JOLTS, GDP, PCE, FOMC, retail sales, claims) or an S&P 100/NASDAQ-100 earnings 8-K is out, when it was first seen, and actual vs prior vs revision. Free. License: cleared. Attribution required: Sources: BLS, BEA, U.S. Census Bureau, DOL, Federal Reserve Board, SEC EDGAR; values via FRED, Federal Reserve Bank of St. Louis. Detection timestamps measured by cev-os. This service uses BEA data but is not endorsed or certified by BEA.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "event": {
            "description": "Comma-separated event types: cpi, ppi, employment_situation, jolts, eci, gdp, pce, retail_sales, jobless_claims, fomc_decision, fomc_minutes, ism_manufacturing, ism_services, trade_balance, productivity",
            "type": "string"
          },
          "from": {
            "description": "Start date (ET) YYYY-MM-DD, default 7 days ago.",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          },
          "ticker": {
            "description": "S&P 100 / NASDAQ-100 ticker: adds its latest 8-K Item 2.02 (earnings) acceptance time.",
            "type": "string"
          },
          "to": {
            "description": "End date (ET) YYYY-MM-DD, default 2 days ahead.",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_release_status"
    }
  ]
}

What the leaf hashes

{"body":"3ec6a921df44414573abfefa76b7b7e7c85e3f71d00571c9e8c48bf582b5aded","id":1026872,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793280416492775,"prev":null,"subject":"46fdadcf-9d14-49e4-a15d-0b0645b524f4","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. 0x967a85813fdb23696165ca7ff3d581e41d691bf8cedb5d3133e229b168928fe7
  2. 0x953a6ec0e33a40cc8ff3a4eb6ea6f937967c86505ac33879abb72b11a312b235
  3. 0x6ac733752524720b8d6160f41ccee9905ef17df61538413e796df356caaf0231
  4. 0x429d5e45947c3b78353c4d13dcc7377f3475634c2f405dbad106d0537ae4bae3
  5. 0x40140e371d625718a7f4cdb929e86638164933637c9c7e33eaada12148fc3159
  6. 0xc14b68f8a5e6545be57645bfd80c93becae3d70bea4ecd326ee25515582be88b
  7. 0x4dd695e570f416cb4455675d54f137f717e9e2ffcfe4d22c5cf5f6c3ca5c59bc
  8. 0x0a4d7681778492a776c3e477e4e3fc6306246da7474c8a1b54c201b077f4426b
  9. 0xb882c515093e5491cc7c314bf2fbe522be09105637460bd4a05d19da6d5a438d
  10. 0x993b6bea8a3d43ab7ba74887cf971a9c08cc78fa2ce6bc5a063da5d592c15c2a
  11. 0x7d7ecfb1db0a6a7bcc9443ff1a4adf62c2ddb2e091fb57ec8d2447fdf331c12e
  12. 0x5d5a3a20a5e3a2d8954f344d71e31e521736c7ff26c66e23a8131ffe1664e652
  13. 0x27d0671676af363c48faa6ba6f13ccf8220db4153f3228b82faf62df6a2569a6
  14. 0x2b11062f499f97c836e687fbba91202ea7ff254c8f8928d683df655cd117d9ec
  15. 0x09d5ec1c01b0f087fe9f6cc95432188552da9adc88004aed57401ea49f2b56d4
  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