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Evidence row 263899

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 081fc134-6405-4a22-92cb-4e0c018ad35c
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
a4ee026ff5464b2d7d1099737c7e35cbe218ebd0a5ed8f03e24b891138ffcaeb
Leaf
0x1d5715c7adefe095174a16600eab8a44eaaf500645423445ea1c9b1a9bca03cd

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "List the tools of this server with prices, data sources, licensing, daily limits and data freshness.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "catalog"
    },
    {
      "description": "Re-fetch the stored result of a settled paid call by its receipt_id, for when the response was lost after payment. Free. Unknown or unsettled receipt ids return RECEIPT_NOT_FOUND. Results are kept for 90 days after settlement.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "receipt_id": {
            "description": "The receipt_id returned with a paid result (\"rcpt_\" + 64 hex characters).",
            "maxLength": 80,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "receipt_id"
        ],
        "type": "object"
      },
      "name": "get_receipt"
    },
    {
      "description": "Which municipality codes and names does MLIT's Real Estate Information Library list for this Japanese prefecture? Give a prefecture code (01-47) or name. Returns the 5-digit municipality codes with Japanese and English names as published by MLIT (XIT002): the join key for realestate_prices_by_municipality and other Japanese public data. Carries the required MLIT credit.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "prefecture": {
            "description": "Prefecture code 01-47 (e.g. 13) or name (Tokyo or 東京都).",
            "maxLength": 20,
            "type": "string"
          }
        },
        "required": [
          "prefecture"
        ],
        "type": "object"
      },
      "name": "realestate_municipalities"
    },
    {
      "description": "What real estate transaction and contract prices has MLIT (Japan) published for this municipality and quarter? Give a 5-digit municipality code and up to 8 quarters (YYYY-Qn). Per quarter and per classification (never pooled): records_published, no_records_published or unknown with a reason, record counts, min/median/max computed by us (null below 5 values), and a capped sample of records as published. Carries the required MLIT credit. Statistics as published; not an appraisal or advice.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "from": {
            "description": "First quarter, e.g. 2025-Q1 (Q1 = Jan-Mar). Transaction prices start at 2005-Q3, contract prices at 2021-Q1.",
            "maxLength": 10,
            "type": "string"
          },
          "municipality_code": {
            "description": "5-digit Japanese municipality code, e.g. 13101 (Chiyoda, Tokyo). Find codes with realestate_municipalities. Unknown codes are rejected, not guessed.",
            "maxLength": 10,
            "type": "string"
          },
          "price_classification": {
            "description": "transaction (MLIT 不動産取引価格情報), contract (MLIT 成約価格情報) or both (default).",
            "enum": [
              "transaction",
              "contract",
              "both"
            ],
            "type": "string"
          },
          "property_type": {
            "description": "Optional filter on MLIT's transaction type: land (宅地(土地)), land_and_building (宅地(土地と建物)), used_condominium (中古マンション等), agricultural_land (農地), forest_land (林地).",
            "enum": [
              "land",
              "land_and_building",
              "used_condominium",
              "agricultural_land",
              "forest_land"
            ],
            "type": "string"
          },
          "sample_size": {
            "description": "Number of published records to include as a sample, 0-50 (default 10). total and truncated tell how many matched.",
            "maximum": 50,
            "minimum": 0,
            "type": "integer"
          },
          "to": {
            "description": "Last quarter, e.g. 2025-Q4 (default: same as from). At most 8 quarters per request.",
            "maxLength": 10,
            "type": "string"
          }
        },
        "required": [
          "municipality_code",
          "from"
        ],
        "type": "object"
      },
      "name": "realestate_prices_by_municipality"
    }
  ]
}

What the leaf hashes

{"body":"a4ee026ff5464b2d7d1099737c7e35cbe218ebd0a5ed8f03e24b891138ffcaeb","id":263899,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793033820409844,"prev":null,"subject":"081fc134-6405-4a22-92cb-4e0c018ad35c","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. 0x1d56865057f1aeeb227294d5b920be269a3431d3d1fa5336ce50a33298549581
  2. 0xa7950894ca15a708df6ac3f8099b182a9193d64d7bb738c732bc054cee0ba6e7
  3. 0x950cf66733ba5276137e8af50f6829d5b52dffd96cfdfbb143cd9b2dabb29ea1
  4. 0xb35af93a9776c003ff4371c4cebfe16e6dd033d59b50a929efd4ab8927b6a2b9
  5. 0xbdcc9f0ae0b9bb87659a0298b82edd7f5d46f4fa5c47350e9cbe8d1e5270c1df
  6. 0xdb3374dd1bdc24fc5e81fa681ef0a15d5a4243adfb441a4265015577c37c9d01
  7. 0x856ca3ab699bba7e5cec3a9762b0328755b519e3a0ff8719b15fc8033aeb9f1e
  8. 0x98b1e9c8fec3eff4dc34e17bd3193c37de0197b70ca005c4b60a8703f75e2631
  9. 0x3d86f02bcefd5c503f8a62d4f8a065a11eaac825db5166bd8edd4faaed62c7a3
  10. 0x328a19bb2b9e8aa664a31a15df6f2e5a801e6cb13c626e7a570636fb14fb88d3
  11. 0x15110e1ab8fe267895da4a2cf012c17f5824a8afca5d2dac1f158d633e16c91c
  12. 0x8e3531af6dd328ff9a174dd19751228f67fa0773c68a89edf859dffbd7b098c3
  13. 0x42b0d9d5b53af5b0fe99cee10ce29fe484db78b92ce49f97190cc6d098651d47
  14. 0x9dfd312f3d4937f7cb144cee3987e8516f222932b4ea286605236d73cfa1ed16
  15. 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
  16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
  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