Evidence row 263963

What was observed

{
  "count": 7,
  "tools": [
    {
      "description": "Find compensation surveys that benchmark a specific job title or position (e.g. 'Software Engineer', 'CPA', 'Sr Acct', 'head of finance'). Combines literal title matching with embedding-based semantic similarity, so abbreviations and paraphrases work — 'CPA' returns 'Certified Public Accountant', 'Sr Acct' returns 'Senior Accountant'. Reports per position are ranked to surface broad-coverage surveys (general-industry, US scope) before niche cuts.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Max position matches to return (default 5, max 20)",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "position": {
            "description": "Job title or position to look up (free text). Abbreviations and paraphrases are fine.",
            "type": "string"
          }
        },
        "required": [
          "position"
        ],
        "type": "object"
      },
      "name": "find_surveys_for_position"
    },
    {
      "description": "Detailed info on a single survey report by slug.",
      "inputSchema": {
        "properties": {
          "slug": {
            "description": "Report slug (e.g. 'pas-aggregates-industry').",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_report"
    },
    {
      "description": "Detailed info on a specific vendor by slug, including all of their reports. Use after `search` or `list_vendors_by_industry` returns a candidate.",
      "inputSchema": {
        "properties": {
          "slug": {
            "description": "Vendor slug (e.g. 'mercer-benchmark-database', 'pas', 'wtw').",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_vendor"
    },
    {
      "description": "List every CompShop vendor that publishes surveys for a given industry. Use when the user asks 'what survey publishers cover [industry]?'",
      "inputSchema": {
        "properties": {
          "industry": {
            "description": "Industry category. One of: general-industry, healthcare, life-sciences, tech, media, financial-services, insurance, energy, construction, retail, higher-ed, legal, nonprofit, executive, free.",
            "enum": [
              "general-industry",
              "healthcare",
              "life-sciences",
              "tech",
              "media",
              "financial-services",
              "insurance",
              "energy",
              "construction",
              "retail",
              "higher-ed",
              "legal",
              "nonprofit",
              "executive",
              "free"
            ],
            "type": "string"
          }
        },
        "required": [
          "industry"
        ],
        "type": "object"
      },
      "name": "list_vendors_by_industry"
    },
    {
      "description": "List vendors with survey coverage in a given region. Use when the user asks 'what publishers cover [region]?' Region is matched against both vendor-level scope and individual report scopes.",
      "inputSchema": {
        "properties": {
          "region": {
            "description": "One of: United States, Canada, United Kingdom, Europe, Asia Pacific, Latin America, Middle East & Africa, Global.",
            "enum": [
              "United States",
              "Canada",
              "United Kingdom",
              "Europe",
              "Asia Pacific",
              "Latin America",
              "Middle East & Africa",
              "Global"
            ],
            "type": "string"
          }
        },
        "required": [
          "region"
        ],
        "type": "object"
      },
      "name": "list_vendors_by_region"
    },
    {
      "description": "Recommend the best-fit compensation surveys given a hiring/benchmarking context. Use when the user asks 'what survey should I use for [situation]?' Returns ranked vendors with rationale. Required: industry. Optional: region, role focus.",
      "inputSchema": {
        "properties": {
          "industry": {
            "description": "Primary industry. One of: general-industry, healthcare, life-sciences, tech, media, financial-services, insurance, energy, construction, retail, higher-ed, legal, nonprofit, executive, free.",
            "enum": [
              "general-industry",
              "healthcare",
              "life-sciences",
              "tech",
              "media",
              "financial-services",
              "insurance",
              "energy",
              "construction",
              "retail",
              "higher-ed",
              "legal",
              "nonprofit",
              "executive",
              "free"
            ],
            "type": "string"
          },
          "limit": {
            "description": "Max recommendations (default 5, max 10)",
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          },
          "region": {
            "description": "Optional. One of: United States, Canada, United Kingdom, Europe, Asia Pacific, Latin America, Middle East & Africa, Global.",
            "enum": [
              "United States",
              "Canada",
              "United Kingdom",
              "Europe",
              "Asia Pacific",
              "Latin America",
              "Middle East & Africa",
              "Global"
            ],
            "type": "string"
          },
          "role_focus": {
            "description": "Optional free-text describing the role types being benchmarked (e.g. 'software engineers', 'physicians', 'sales reps', 'CEO and C-suite').",
            "type": "string"
          }
        },
        "required": [
          "industry"
        ],
        "type": "object"
      },
      "name": "recommend_surveys"
    },
    {
      "description": "Free-text search across the CompShop directory of compensation surveys. Returns matching vendors, reports, job families, and positions. Use for open-ended discovery questions like 'biotech surveys in Europe' or 'CEO compensation data'.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Max results per group (default 5, max 15)",
            "maximum": 15,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "Free-text query (job title, industry, vendor, geography, etc.)",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search"
    }
  ]
}

What the leaf hashes

{"body":"da24c316f846ced8968c7f8f5086f26110e1cfa133af367860b5dfb347bbd4a8","id":263963,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793033851426369,"prev":null,"subject":"e5c08a3f-c07e-43e4-859a-ec526c46a7b5","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0x5239f166f0359564e8564701c9fd6746d3829cf74364fea01f84278476c16010
2. 0xc7c5e49050060c23b0e86b67d7014a58a4703fbb38c3ac3d80bf059d9f112f3f
3. 0x07e7ac25cccdd199236383ae489fd6901ec4a9d6fc0b37243da9582790b2af10
4. 0xa2edde4c03bfecb259396fd5d7eed8afc9fd41ef168e81dcd72543bed39aefff
5. 0x43565093ac5613c372cbae4b9104e6dfdaa3165ab0d7d2377acffabb1c5d7498
6. 0x1bd45f21d8cd4b93cd5a63b0823fb6f3eb7c54b8a568c9f5fec0fe1fce99e1c5
7. 0xdefd388117336c2d8f3b796ac7e1d87fa88b58a427983dbf2a5bdff9641efb07
8. 0x9bba7dea260fbaf89409d3433a80278c62c88af89865c0974ed5d1913ff39a59
9. 0x4d25866a6000a2d9d340863fc6c3214026e539ea5bdfde69d90c1749f2e21f22
10. 0x56c4b9a8339bbeb0ffca530ff47780ea20783ddd975fbd4877c1c5fd864229b0
11. 0xa5ad1076807e948ee46c6ef88026aa55418c25a28faa967ff0fc965aa97c5a48
12. 0x94dd4ed7cf198df741ccda83eacc422aadb31119fc6e84c4a6d2f023453b7960
13. 0xd830c52e1e8095e014510110592485afcb02b9c9a36f85653e4891a8de941246
14. 0x0733993143f0230e79482cef2c38e95d98f9eafbe64a43cdc74a4545938a4167
15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae