Evidence row 305749

What was observed

{
  "count": 5,
  "tools": [
    {
      "description": "Full profile of one company: business overview, products, R&D, financials for the last three years, a breakdown of its regulatory record (MFDS device and drug approvals, clinical trial authorisations, Innovative Medical Device and Orphan Drug designations, US FDA 510(k) clearances and FDA drug approvals), global clinical trials (ClinicalTrials.gov, updated weekly), research publications (PubMed, updated daily), patents (KIPRIS, updated monthly) and key exchange disclosures (KRX KIND — contracts, capital changes, market actions, updated daily). For the live stock quote use get_stock_quote.",
      "inputSchema": {
        "properties": {
          "identifier": {
            "description": "Company name, KRX ticker (e.g. '328130'), or index slug (e.g. 'lunit-328130').",
            "type": "string"
          },
          "language": {
            "description": "Language for narrative fields. Default en.",
            "enum": [
              "ko",
              "en"
            ],
            "type": "string"
          }
        },
        "required": [
          "identifier"
        ],
        "type": "object"
      },
      "name": "get_company"
    },
    {
      "description": "Live stock quote for one indexed company: price (KRW), daily change, market cap, PER, PBR, 52-week range. Real-time market data — call again for current values; do not treat a quoted price as durable.",
      "inputSchema": {
        "properties": {
          "identifier": {
            "description": "Company name, KRX ticker (e.g. '328130'), or index slug (e.g. 'lunit-328130').",
            "type": "string"
          }
        },
        "required": [
          "identifier"
        ],
        "type": "object"
      },
      "name": "get_stock_quote"
    },
    {
      "description": "Aggregate view of the Korean medical AI and biotech sector as indexed by MAA: company counts by sector, total regulatory records by source, and measured AI visibility (how well these companies' own websites can be read by AI systems). Use this for questions about the sector as a whole rather than one company.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "industry_overview"
    },
    {
      "description": "Search regulatory records across all indexed companies. Sources: Korea MFDS (device approvals, drug approvals, clinical trial authorisations, Innovative Medical Device designations, Orphan Drug designations) and the US FDA (510(k)). Use agency='MFDS_INNO' for Innovative Medical Device designations — only 136 exist nationwide, so holding one is a strong signal. Use agency='MFDS_TRIAL' for pipeline.",
      "inputSchema": {
        "properties": {
          "agency": {
            "description": "FDA=US 510(k) · MFDS=Korean device approval · MFDS_DRUG=Korean drug approval · MFDS_TRIAL=clinical trial authorisation (pipeline, not an approval) · MFDS_INNO=Innovative Medical Device designation · MFDS_RARE=Orphan Drug designation",
            "enum": [
              "FDA",
              "MFDS",
              "MFDS_DRUG",
              "MFDS_TRIAL",
              "MFDS_INNO",
              "MFDS_RARE"
            ],
            "type": "string"
          },
          "company": {
            "description": "Restrict to one company (name or ticker).",
            "type": "string"
          },
          "limit": {
            "description": "Max results (default 25, cap 50).",
            "type": "number"
          },
          "query": {
            "description": "Keyword in the product name, e.g. 'stroke', '심전도', 'CAR-T'.",
            "type": "string"
          },
          "since": {
            "description": "Only records decided on or after this date (YYYY-MM-DD).",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_approvals"
    },
    {
      "description": "Search Korean listed medical AI, biotech, medical device, pharma and healthcare infrastructure companies. Use this to find companies by name, business keyword, sector, or stock exchange. Returns a summary line per company. Call get_company afterwards for full detail on a specific one.",
      "inputSchema": {
        "properties": {
          "category": {
            "description": "Sector filter.",
            "enum": [
              "medical-ai",
              "biotech",
              "devices",
              "pharma",
              "infra"
            ],
            "type": "string"
          },
          "has_fda": {
            "description": "Only companies holding US FDA 510(k) clearances.",
            "type": "boolean"
          },
          "limit": {
            "description": "Max results (default 20, cap 50).",
            "type": "number"
          },
          "member_only": {
            "description": "Only MAA member companies.",
            "type": "boolean"
          },
          "query": {
            "description": "Company name (Korean or English) or business keyword, e.g. 'Lunit', '루닛', 'colorectal cancer diagnostics', 'CAR-T'. Omit to list by category alone.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_companies"
    }
  ]
}

What the leaf hashes

{"body":"8e90e338a2bd5b7393a25dcbcc949da76424d7a89e74bf504f0d5a97e4a619c6","id":305749,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793056617508293,"prev":null,"subject":"3be9fc37-ade2-4309-8289-683a866f89c7","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. 0x036e1ce15f40aa92391f367719a2e3fa6c4818ed4424e0fb8addde5d053ad856
2. 0x45840ac717083161de3592285450c6f4a62f4459f190ddb50d2f46411aa57073
3. 0x65c710644b365017310b5079590f7470434483d8602edc19363a8679c0a954fc
4. 0x276623e0ec9a56b3bd38a07cd08329400a0453d626f328333a0984be4280a526
5. 0x136af0b8d6168f95bb8908463d52423b845c808ef6c85ce0eaeb627d7592a9bf
6. 0xc1b6a3a25d49f2f3cdf2a659efe3abce17736d07a28acf30a8eebb9b66d67dfb
7. 0x3bad33c87bd8249564e4b02c179ad00c9701b9dec380a9dc96b41a78d121b8bc
8. 0x1cd7ba5b93b74a79a74130bd3c49d4afc60dc366d6533e0f36e813674e9a7efe
9. 0xeceb26d8aaea7d66ee2c55e530235102292a9f81ab75e7cb11e0b2eb838c8131
10. 0x7eb88a3b9eed96824d9e196c7f83cd784e15460aa54a9a4dc628a19fb1c77aa6
11. 0x4e18f6df894eff467396bfe85f6d6b90f40522629a1dd7517152c38e1c70e111
12. 0xd75ede2689ed83bbc8980becaf4f32a77c7e05567790cd351e997bb28aa0844c
13. 0x92ff7d176556ddbe3d885e2ab73948b14a6aa3568a8fd237427d4f8415235a23
14. 0xd1d3499072edb10edc68f84bcae2365d2ab534df689250cab18c751b6f13b6ff
15. 0x7ddc2fead128357f881b63e6c7c26d7fbbb84fca6c7c8e0bbfe386de86ca8d39
16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae