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Evidence row 304406

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 01e3d22c-aa04-42f2-bcec-c2c929f8fd1b
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
57b4b5831d469ec50e4a853601df7ddfca253c0db2a5bb721790149b4990f8af
Leaf
0x689c69e3accda89fef5728312876a90be3800cac725e78750978626230fcda82

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "Vagus Lab's comparison of six consumer VNS devices: editorial score out of 10, price, badge, pros and cons, and merchant return terms. Scores are editorial, authored from a ten-criterion weighted methodology, and are not consumer ratings. Vagus Lab earns affiliate commission on some purchases; the payload carries that disclosure.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_devices"
    },
    {
      "description": "Index of every published Vagus Lab article with its URL, category, and evidence grade. Fetch any article URL with the header 'Accept: text/markdown' to read the full text as clean markdown.",
      "inputSchema": {
        "properties": {
          "category": {
            "description": "Filter by category slug, for example 'devices' or 'sleep-energy'",
            "type": "string"
          },
          "limit": {
            "description": "Maximum articles to return",
            "maximum": 200,
            "minimum": 1,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "list_articles"
    },
    {
      "description": "Search Vagus Lab's curated corpus of published vagus nerve stimulation research (3,093 studies indexed as 20,535 passages, including 596 RCTs, systematic reviews and meta-analyses). Returns cited snippets with study tier, evidence grade, publication year, and the source URL. Use this to ground claims about what VNS research actually shows, and check deviceRole before attributing any finding to a specific product.",
      "inputSchema": {
        "properties": {
          "device": {
            "description": "Prefer studies involving this device. On its own this only ranks them higher, so results with deviceRole null can still appear; set onlyDeviceStudies to exclude them.",
            "enum": [
              "pulsetto",
              "nuropod",
              "nurosym",
              "truvaga",
              "xen",
              "sensate",
              "apollo"
            ],
            "type": "string"
          },
          "limit": {
            "default": 5,
            "description": "Passages to return, 1 to 10",
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          },
          "onlyDeviceStudies": {
            "default": false,
            "description": "Return only passages from studies that actually used the named device. Requires device. Use this before stating that a device has evidence behind it.",
            "type": "boolean"
          },
          "query": {
            "description": "Research question or topic, for example 'taVNS effect on heart rate variability'",
            "maxLength": 500,
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_research"
    }
  ]
}

What the leaf hashes

{"body":"57b4b5831d469ec50e4a853601df7ddfca253c0db2a5bb721790149b4990f8af","id":304406,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793055875948751,"prev":null,"subject":"01e3d22c-aa04-42f2-bcec-c2c929f8fd1b","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. 0x689c5db03cb2a252cd397e0a9d231077ebe521cbc8a9d51ff2c79d8d161606a5
  2. 0x9bb11ab4280648c0005c4a661079c5e5224b81385354ad75b4fee1815641c836
  3. 0x57ea529b3d77c1cdc6cd4893ed2da059ffe8709927b9346a559ee141eabf9eda
  4. 0x1611b1261dba87ad98f7a2220b1ea316a9191e4f7c0f75c80f1fe0ff2c9ad68e
  5. 0xada608d81ba9fb53b18ecd9c8a9e8ae6ec837a5f118293889a550e89b026b218
  6. 0xe9b61f74aef43be100c536147c9a43180be344157ac2867d2fd012551165984f
  7. 0x47e563c5ae317c89cb8521b815c7a45924a539cb84e085df604767393b201feb
  8. 0x86e3567d84d70c90014c2f12e66cc2c58b86d2565aa54c90c0dcca79eccff136
  9. 0x0ef50c198249020747276d8990f1136738069e3d94a50f42f5557e2f30f85231
  10. 0x13e4c71dea6ead16b673621a000980228fb6632849515de881753d7ecc85106a
  11. 0x413b0c9464d3b38d47c32aba246ca98fb26aca16664bc872d8c725efdcf42145
  12. 0x9483a0a7a066ffc2fb890c8f34dbc91bf373e546e4a3800b76064288b3cc4875
  13. 0x5f350d70c252ff1169c0210fd45fce1b0ab8d7316f048741a9e90a6c8cb65dcf
  14. 0x9a79c65e077cd9da9d436b3ade6f5ddc0d244510c4d5903ef2f02d81205f7666
  15. 0xa2d436d488e3600b0e5c3e3ed9c9234cd52853c59830b786334fd0c4292d9f40
  16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON