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Evidence row 1253922

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint bb3703b1-6861-47f9-a80e-6368ccdd710a
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
39d62567ffd5e52c6839d6b7eb8e7a013ef97603704a8dbabafb6a76a4a2c7ad
Leaf
0xba8c87190d77df7fa436878bb58b8e66f75f9fbd18afb345e7f02919b525447c

What was observed

{
  "count": 9,
  "tools": [
    {
      "description": "Current attributed views and catch-up for one talking head, by slug (for example lyn-alden).",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "slug": {
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_analyst"
    },
    {
      "description": "Analysts, topics, and instruments Headge tracks. Use this to resolve names before other tools.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "get_catalog"
    },
    {
      "description": "Today's catch-up: mix by horizon, new views, flips, and divergence. Mix is a count. Headge has no house view.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "get_catchup"
    },
    {
      "description": "Attributed views that name this ticker, plus related views labelled as Headge's mapping.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "ticker": {
            "type": "string"
          }
        },
        "required": [
          "ticker"
        ],
        "type": "object"
      },
      "name": "get_instrument"
    },
    {
      "description": "Today's placed views (US session day, ET), newest first, split Bullish / Bearish. Neutral sits under the split. Publication day, not forecast horizon.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "get_latest"
    },
    {
      "description": "Current attributed views on one topic in the closed catalog (for example gold, inflation, xlk).",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "slug": {
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_topic"
    },
    {
      "description": "One attributed view by id, with source URL for citation.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "view_id": {
            "type": "integer"
          }
        },
        "required": [
          "view_id"
        ],
        "type": "object"
      },
      "name": "get_view"
    },
    {
      "description": "Historical analogues: after this asset moved this way over `window` months (1, 3, 6, 12), what followed over the next `horizon` months (1, 3, 6, 12) across every asset class. Observed monthly data since 1926; medians and 20th to 80th percentile bands describe the matched sample and are not forecasts or probabilities. `asset` is a series id (us, spy, ndx, gold, oil, y10, fed, vix, inflation, unemployment and more; see the Outcomes table). `magnitude` is in the asset's unit (percent, basis points for yields, points for VIX) or null for direction only. `conditions` blank keeps the snapshot's current starting conditions, \"none\" clears them, or \"inflation:3.4,vix:15\" sets targets. `cohort` \"common\" restricts every asset to the episodes they all share. `reference` loads a named historical window such as financial-crash, pandemic, stock-bubble or war-energy. Cite the page link in the reply.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "asset": {
            "default": "us",
            "type": "string"
          },
          "cohort": {
            "default": "all",
            "type": "string"
          },
          "conditions": {
            "default": "",
            "type": "string"
          },
          "count": {
            "default": 20,
            "type": "integer"
          },
          "direction": {
            "default": "down",
            "type": "string"
          },
          "horizon": {
            "default": 6,
            "type": "integer"
          },
          "magnitude": {
            "anyOf": [
              {
                "type": "number"
              },
              {
                "type": "null"
              }
            ],
            "default": 20
          },
          "reference": {
            "default": "",
            "type": "string"
          },
          "since": {
            "default": 1926,
            "type": "integer"
          },
          "tolerance": {
            "default": 1,
            "type": "number"
          },
          "window": {
            "default": 3,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "model_scenario"
    },
    {
      "description": "Resolve a query to analysts, topics, and instruments.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "q": {
            "type": "string"
          }
        },
        "required": [
          "q"
        ],
        "type": "object"
      },
      "name": "search"
    }
  ]
}

What the leaf hashes

{"body":"39d62567ffd5e52c6839d6b7eb8e7a013ef97603704a8dbabafb6a76a4a2c7ad","id":1253922,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793371063493919,"prev":null,"subject":"bb3703b1-6861-47f9-a80e-6368ccdd710a","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (243099 rows).

  1. 0xba8be13055118e6e54d361f4d66687a37a1a0db79931fa7f0151853368ad7cd6
  2. 0x1a8e44dc4b02f64197926b25f65971385bb8cda86b6c0fb07d11fc39af3222d0
  3. 0x5ce71875e5ec200bde03f392b279cd1f4246ab9c2028ce6335173e9a7c1d6d52
  4. 0x69e15051cff766647a6ea8ce8004573407797bb229c3a5e2a2a2b04537b9a384
  5. 0xbb21d4dd379fb6cbb08fe3de0d86444fa91dae310290cd9d989ecf875fb180f1
  6. 0xfe146aea6ffebfb61a0bb9a283c8f780a80db0616df14d728700bb71150759a3
  7. 0x0e91c1de13064aacc00f30ce5976543c41838f5c09dc2aba5f6206e9af0aa0ed
  8. 0x5f6083af8a1d3865be2dc4126ae8434eefad9d58039275f3beca33ff0850e83f
  9. 0xd9c37072d2c5f0f9a229159dbcb4de4e46a87a8b6601d72c5432499be428da31
  10. 0xf30bff388eef259d7d7893038ea56979cf995eff004f189bf5e3f61efffe44c2
  11. 0x25c27142ad6fc9caf37957f29c81e9282087252bb5b1851c2ff657ba4dadcdeb
  12. 0x8ca94aba4ade14ca276e7764966a63bb41f58eecc28e94bdae70ef1eb4b40db4
  13. 0x9284dae9a7e06f703013033011cfbc40fdf815bacecff8ae80861ffbba56d6d6
  14. 0x4ac91605f15503f7d7aa9a25d4e54c100a1a62c26e93a7ed87049569e871a9a4
  15. 0xa0b1f6bc1eecfaf70581673c1a7f638b96d1769a5c578c460337f7db0dbe963e
  16. 0x0c59b8770d2782eb535aefbb9b2f6810bab4757f51b37e00f5147713a1de9481
  17. 0x61ef83255d34604cb052882568ca1d1386ac3cfb8284509715bc1734cff77831
  18. 0x0c43c73b62a5d49ee1444b5dc4195fc5b16b141d3f4458e2e9fbd5fd6ecb367d
Day root
0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875
Chained
0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822
Published
On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861

How to check it · This row as JSON