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Evidence row 299849

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 69df6e74-6ec8-44dd-815c-0a19af7ee9ca
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
7e230178c65f4d9dee505ad8f2b5632c8e538c8a33a04ebcc313b19ad2d4165f
Leaf
0x179618f2fffd03bd58a25717244dcbc3bf5ac65377b813c8c2732573494964df

What was observed

{
  "count": 8,
  "tools": [
    {
      "description": "All open positions at a specific company.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "company": {
            "description": "Company name",
            "type": "string"
          },
          "country": {
            "default": "de",
            "type": "string"
          },
          "results_per_page": {
            "default": 10,
            "type": "integer"
          }
        },
        "required": [
          "company"
        ],
        "type": "object"
      },
      "name": "company_jobs"
    },
    {
      "description": "Server status.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "health_check"
    },
    {
      "description": "How many new jobs posted today/3 days/week for a query. Quick market pulse.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "default": "de",
            "type": "string"
          },
          "location": {
            "description": "City or region",
            "type": "string"
          },
          "query": {
            "description": "Keywords",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "job_alerts_check"
    },
    {
      "description": "Compare job markets across cities for a role: job count and salaries.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "default": "de",
            "type": "string"
          },
          "locations": {
            "description": "List of cities to compare",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "query": {
            "description": "Job title",
            "type": "string"
          }
        },
        "required": [
          "query",
          "locations"
        ],
        "type": "object"
      },
      "name": "job_compare"
    },
    {
      "description": "Search jobs by title, skill, location. Filter by type and recency.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "default": "de",
            "description": "Country code: de, gb, us, at, ch, nl, fr, it, pl, br, au, in",
            "type": "string"
          },
          "full_time": {
            "description": "Full-time only",
            "type": "boolean"
          },
          "location": {
            "description": "City or region, e.g. 'Bielefeld' or 'Berlin'",
            "type": "string"
          },
          "max_days_old": {
            "description": "Only jobs posted within N days",
            "type": "integer"
          },
          "page": {
            "default": 1,
            "description": "Page number (starts at 1)",
            "type": "integer"
          },
          "query": {
            "description": "Job title or keywords, e.g. 'Business Development Manager'",
            "type": "string"
          },
          "results_per_page": {
            "default": 10,
            "description": "Results per page (max 50)",
            "type": "integer"
          },
          "salary_min": {
            "description": "Minimum annual salary filter",
            "type": "integer"
          },
          "sort_by": {
            "default": "relevance",
            "description": "Sort: relevance, date, salary",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "job_search"
    },
    {
      "description": "Top companies hiring for a field. Rising demand signals.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "default": "de",
            "type": "string"
          },
          "field": {
            "description": "Field or job category, e.g. 'Vertrieb' or 'IT'",
            "type": "string"
          }
        },
        "required": [
          "field"
        ],
        "type": "object"
      },
      "name": "job_trends"
    },
    {
      "description": "Find remote-only positions for a role or skill.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "default": "de",
            "type": "string"
          },
          "query": {
            "description": "Keywords",
            "type": "string"
          },
          "results_per_page": {
            "default": 10,
            "type": "integer"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "remote_jobs"
    },
    {
      "description": "Salary ranges for a role in a location.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "default": "de",
            "type": "string"
          },
          "location": {
            "description": "City or region",
            "type": "string"
          },
          "role": {
            "description": "Job title, e.g. 'Sales Manager'",
            "type": "string"
          }
        },
        "required": [
          "role"
        ],
        "type": "object"
      },
      "name": "salary_insights"
    }
  ]
}

What the leaf hashes

{"body":"7e230178c65f4d9dee505ad8f2b5632c8e538c8a33a04ebcc313b19ad2d4165f","id":299849,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793053132765103,"prev":null,"subject":"69df6e74-6ec8-44dd-815c-0a19af7ee9ca","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. 0x179655278665026bdb15c3fafbdd3434784ae3275dbe82ded7e1a03f51b584f8
  2. 0x7b5f5c316513bda4377f1374b935607ea2bfeafc27cdab9a62350b98702460d4
  3. 0x8e82878b80c30c3af5dd01ac43e1fe6c17c7f956ee36bc47f41958328d3ad10e
  4. 0xf6f4bd17b8d3bfd147912c8b9e3473009b8083b5250ae03c9a7a377acaa50a26
  5. 0xa95ed5e82a1fe0a0e9fd123c68efaa4bb15c2fa36b597d04d0302deaa62482dd
  6. 0x72acd03cfbcafeeafd00c53df3e5ee833bf92490cccce0aabd6cbb3216fe1947
  7. 0x5eadcfc979f70007a129f85e52448562193d4c58032f20c7128a3c24dbe6dab3
  8. 0xdb4068a200045fe70549dff7817ac0a69c8f70d3a2bd955e972334b26f0dc9b0
  9. 0x7f0f0d38564656173bda7241db92a0622251ea43e823cbcb8c95d9f874246bc5
  10. 0x0d4fc8ebd9dad99184207670597ef1933fa15a1f2659bf0e662e21ebef5f0e51
  11. 0x84d28434d4d3c4d17b89916035448fc07d9ad132609b14e307edbe020e19d1a6
  12. 0x15eab8feed5b3f08165d63b9f1aed508c0624966a05349e051f86f0c188707b5
  13. 0x32f46c5f73ecbfd4f770f7f760a79bee2afed4b3e7572fa882b3e7dce8df4356
  14. 0x770e4376196188c7fc9ec40f8e218dc0d1cb92bba5fe0425a0edce27ca9a997f
  15. 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON