Evidence row 302000

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Retrieve additional sanitized public details for one PhysicalAI.jobs listing. Use this after search_jobs or latest_jobs when the user wants more information. The result links back to PhysicalAI.jobs and never exposes a hidden employer ATS URL.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "id": {
            "anyOf": [
              {
                "minimum": 1,
                "type": "integer"
              },
              {
                "pattern": "^[1-9][0-9]*$",
                "type": "string"
              }
            ],
            "description": "Stable public job ID returned by PhysicalAI.jobs."
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_job"
    },
    {
      "description": "Find the newest current Physical AI, robotics, humanoid, embodied AI, autonomy, manipulation, perception and controls jobs on PhysicalAI.jobs. Use this for recent-job or jobs-since-a-date questions.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "category": {
            "description": "Public PhysicalAI.jobs category slug or name.",
            "maxLength": 120,
            "type": "string"
          },
          "company": {
            "description": "PhysicalAI.jobs company slug or company name.",
            "maxLength": 120,
            "type": "string"
          },
          "country": {
            "description": "Country name, country slug, or two-letter country code.",
            "maxLength": 120,
            "type": "string"
          },
          "currency": {
            "description": "V1 salary thresholds use normalized annual USD compensation.",
            "enum": [
              "USD"
            ],
            "type": "string"
          },
          "cursor": {
            "description": "Opaque next_cursor returned by a previous call with identical filters.",
            "maxLength": 1024,
            "type": "string"
          },
          "employment_type": {
            "enum": [
              "full-time",
              "part-time",
              "contract",
              "internship",
              "temporary"
            ],
            "type": "string"
          },
          "limit": {
            "default": 20,
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "location": {
            "description": "Location text such as California, Taipei, or San Carlos.",
            "maxLength": 120,
            "type": "string"
          },
          "min_salary": {
            "description": "Minimum comparable annual salary in USD.",
            "maximum": 5000000,
            "minimum": 1,
            "type": "integer"
          },
          "remote": {
            "description": "True for remote-only results; false for onsite or hybrid results.",
            "type": "boolean"
          },
          "since": {
            "description": "Only jobs published at or after this ISO 8601 date-time.",
            "format": "date-time",
            "type": "string"
          },
          "tags": {
            "description": "Public PhysicalAI.jobs specialty/tag slugs or names.",
            "items": {
              "maxLength": 120,
              "type": "string"
            },
            "maxItems": 10,
            "type": "array"
          }
        },
        "type": "object"
      },
      "name": "latest_jobs"
    },
    {
      "description": "Search public PhysicalAI.jobs company profiles and optionally restrict results to companies that currently have public live jobs. Use this for questions about robotics, humanoid or embodied AI companies and who is hiring.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "cursor": {
            "description": "Pagination token returned by a previous call with identical filters.",
            "maxLength": 1024,
            "type": "string"
          },
          "hiring_only": {
            "default": false,
            "type": "boolean"
          },
          "limit": {
            "default": 10,
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "maxLength": 200,
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_companies"
    },
    {
      "description": "Search current robotics, humanoid, embodied AI and Physical AI roles from PhysicalAI.jobs by keyword, specialty, company, location, remote status and compensation. Use this when a user wants to discover or shortlist relevant jobs.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "category": {
            "description": "Public PhysicalAI.jobs category slug or name.",
            "maxLength": 120,
            "type": "string"
          },
          "company": {
            "description": "PhysicalAI.jobs company slug or company name.",
            "maxLength": 120,
            "type": "string"
          },
          "country": {
            "description": "Country name, country slug, or two-letter country code.",
            "maxLength": 120,
            "type": "string"
          },
          "currency": {
            "description": "V1 salary thresholds use normalized annual USD compensation.",
            "enum": [
              "USD"
            ],
            "type": "string"
          },
          "cursor": {
            "description": "Opaque next_cursor returned by a previous call with identical filters.",
            "maxLength": 1024,
            "type": "string"
          },
          "employment_type": {
            "enum": [
              "full-time",
              "part-time",
              "contract",
              "internship",
              "temporary"
            ],
            "type": "string"
          },
          "limit": {
            "default": 20,
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "location": {
            "description": "Location text such as California, Taipei, or San Carlos.",
            "maxLength": 120,
            "type": "string"
          },
          "min_salary": {
            "description": "Minimum comparable annual salary in USD.",
            "maximum": 5000000,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "Keywords or specialty, for example robotics controls, humanoid, perception, or VLA.",
            "maxLength": 200,
            "type": "string"
          },
          "remote": {
            "description": "True for remote-only results; false for onsite or hybrid results.",
            "type": "boolean"
          },
          "since": {
            "description": "Only jobs published at or after this ISO 8601 date-time.",
            "format": "date-time",
            "type": "string"
          },
          "sort": {
            "description": "Use salary_desc only when comparing jobs with usable compensation data.",
            "enum": [
              "relevance",
              "newest",
              "salary_desc"
            ],
            "type": "string"
          },
          "tags": {
            "description": "Public PhysicalAI.jobs specialty/tag slugs or names.",
            "items": {
              "maxLength": 120,
              "type": "string"
            },
            "maxItems": 10,
            "type": "array"
          }
        },
        "type": "object"
      },
      "name": "search_jobs"
    }
  ]
}

What the leaf hashes

{"body":"41109e3ac294a1e44c9ca6488fb79aecf10f85d6581f9576fd9526d88c35ba97","id":302000,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793054413588187,"prev":null,"subject":"60a0ba09-b0a3-4376-be59-e8b97207716d","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. 0x205aa51aab2a1104f939c672171bcda776b946fa10bca3ced79c28af6a6e1c49
2. 0xb19e2ff331c1a0b26e18067f28ce349e279d54dfe91db087f7878a80cdc8a01a
3. 0x557e31f517b88516e35719e0ac9178e0ed929b43257d1f92daf017cb446282d3
4. 0xd8eed150869c3949b978c491df4520a735549be6f2b0f4762c06cad01fbf30b9
5. 0x8c74950ed21b1a35be86e01b1b661043f9dcc270f8957e0c49bdbdd6d95bb90e
6. 0x552ce8878cd0b79074045e8946a48ea2e16977604beff1395115de644a76cdf4
7. 0x78e4548a7ca3c9a04eaaec48ab0452ebf6d3391233dc6851fc5d5be75cecdd19
8. 0xe592bc768c99dd3c47541da15c6036e5f2af32a8d7a7b1479fa22f05fbd4ed7b
9. 0x8c251767f8fb371a210d42fea0289330b8d746b5c7d851af02e626d7b48f3fb8
10. 0x4be42e002361db392d6bc044d985a656aee097e347099c025de6e9dea367ae4e
11. 0x057e71ed555693238850b77237df28dd2661cf85c88138365b7e42941201ad01
12. 0xfde157310fc8513767b162378ca9ceefb2937c374b7381a8887f7ccba8ab5a80
13. 0x9d75d4d3ab6219edefa04be60b32fdd56be7a7672f370a5115f02f7b098ecd27
14. 0x9dfd312f3d4937f7cb144cee3987e8516f222932b4ea286605236d73cfa1ed16
15. 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae