Evidence row 275284

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Fetch one Indian listing in full: the complete description and how to apply (apply link, HR email or WhatsApp, whichever the employer gave). Takes the slug from search_jobs, or a carrerlift.in/jobs/ link.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "slug": {
            "description": "The slug, e.g. blinkit-program-manager-gurugram-fec5c82b, or the full job link.",
            "maxLength": 300,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_job"
    },
    {
      "description": "The cities and job types the Indian listings currently cover, busiest city first. Use to pick a valid location for search_jobs.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "list_job_filters"
    },
    {
      "description": "Search internships and new-grad roles abroad (mostly USA, some international), merged from community job lists and refreshed a few times a day. Filter by keywords, level/region, and field.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "category": {
            "description": "Field of work.",
            "enum": [
              "AI/ML/Data",
              "Software",
              "Hardware",
              "Quant",
              "Product",
              "Other"
            ],
            "type": "string"
          },
          "page": {
            "description": "1-based page number. Default 1.",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "Matches company, role or location, e.g. google, machine learning, London.",
            "type": "string"
          },
          "type": {
            "description": "intern_usa, newgrad_usa, intern_intl (outside USA) or newgrad_intl.",
            "enum": [
              "intern_intl",
              "newgrad_intl",
              "intern_usa",
              "newgrad_usa"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_global_jobs"
    },
    {
      "description": "Search live job and internship listings in India, newest first. Filter by keywords (role, skill or company), city, and type. Returns up to 24 per page, each with a short description and a link.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "location": {
            "description": "City, e.g. Bangalore, Delhi NCR, Pune, or Remote. Omit for anywhere.",
            "type": "string"
          },
          "page": {
            "description": "1-based page number. Default 1.",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "Keywords: role, skill or company, e.g. \"data analyst\" or \"react\". Omit to browse the newest.",
            "type": "string"
          },
          "type": {
            "description": "Only when the user asked for a specific type.",
            "enum": [
              "Internship",
              "Full-time",
              "Full-time Internship",
              "Apprenticeship"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_jobs"
    }
  ]
}

What the leaf hashes

{"body":"48ff71af3d39ce0bc037f9319efc104d95e068ec187405ba95ca4bede21bc532","id":275284,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793040506842970,"prev":null,"subject":"7c4c8649-805e-48cd-8a04-fde9aade1d9d","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. 0x5be5f35e161222a3364e4bf729f7f6d0a4fd56d29706d810066a11089810c195
2. 0xd2658abd8c8b6830d0d074e3dd1913868ee6fc466e5246e388988e822bfeda23
3. 0x1c56e699337d70312ed8d656bad9f3f949daf8b04a77b68e5d5ac2a8002df007
4. 0x746fa399c8f13a2fa4a8f25efbcb45eabd5dfc30aea4b1ba7b619fd74f981c08
5. 0x579ed6fbc9e739531f2bf7d6b3400301a012f9ccb5cfaba2841cec6dba8368f5
6. 0x1fe0128279447100bfde043026e965ab60c4b9f753674a1b35e2882e818c9be4
7. 0xfba642fad841149762c14859065631f8b8156beddd60ad0940841c9873a638b5
8. 0x1f19abd6caf12fea6f4d2135b8d1b25890abf644fbb9bf0bacd8c5092e7f14d6
9. 0x41a051d5bacaf7bf5130da516c041256d5e5f4c98da082f91371fb195ddc476b
10. 0x40244d998919fa159853bd32a8bd17a3271b1b32a2e2d09a3d03acd280652311
11. 0x37fa4d73456b07df68aa870df84ffd5c60272595484ae0f1ec31434e6c19eb44
12. 0xc4c7772b121e7eab8b40f10646f850453150d76d672e4926bf2534db20273157
13. 0xc8abb13c711b67d9f1ef145286ed450a0f5566f054a4b290ea3d711873bcbe20
14. 0x5cdeb4648502e0633d01cc4f3379d48cccb9d4f528565b2868eb93db0df9e829
15. 0x7726154b91b2ad65b13849ef6cb6443b1f0ff113a3089c9bd5f2bcfc16be099d
16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae