Evidence row 1738531

What was observed

{
  "count": 5,
  "tools": [
    {
      "description": "One category: where it sits, its subcategories, and its attributes (item specifics) with their allowed values, units and suggestions, and which ones a listing must have. Call it before create_listing, and to search by attributes.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "category": {
            "description": "Category slug from list_categories.",
            "maxLength": 60,
            "type": "string"
          },
          "country": {
            "description": "For real estate: the country, whose rules (energy rating, licences, disclosures) apply.",
            "pattern": "^[A-Za-z]{2}$",
            "type": "string"
          }
        },
        "required": [
          "category"
        ],
        "type": "object"
      },
      "name": "get_category"
    },
    {
      "description": "Everything about one listing: description, photos, delivery and payment, and the seller with their ratings.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "id": {
            "description": "Listing id from search_listings.",
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_listing"
    },
    {
      "description": "What Sofala is, how selling and buying work, fees, payments, safety and ratings. Use it to answer questions about Sofala.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": [],
        "type": "object"
      },
      "name": "get_sofala_overview"
    },
    {
      "description": "All Sofala categories with their slugs (for search_listings and create_listing): top level, subcategories and, where buyers look for something specific, a third level. Then call get_category for the one you pick.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": [],
        "type": "object"
      },
      "name": "list_categories"
    },
    {
      "description": "Search the live listings. Give a few words, and filters when the person mentioned them. Returns a few well-matched results; compare them for the person rather than listing everything. Prices are in each listing's own currency.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "attributes": {
            "additionalProperties": true,
            "description": "Filters on attributes from get_category, such as {\"make\": \"BMW\", \"year\": {\"min\": 2015}, \"fuel\": [\"diesel\", \"hybrid\"]} or {\"grading\": \"psa\", \"grade\": {\"min\": 9}}: enum and text take a value or a list (text matches part of the value), numbers {\"min\": , \"max\": } or one value, yes/no true or false, fits_years one year (parts that fit it), serial {\"max\": } (print run).",
            "type": "object"
          },
          "category": {
            "description": "Category slug from list_categories (top level includes its subcategories).",
            "maxLength": 60,
            "type": "string"
          },
          "city": {
            "maxLength": 80,
            "type": "string"
          },
          "condition": {
            "items": {
              "enum": [
                "new",
                "like_new",
                "good",
                "fair",
                "for_parts"
              ],
              "type": "string"
            },
            "maxItems": 5,
            "type": "array"
          },
          "country": {
            "description": "ISO country code.",
            "pattern": "^[A-Za-z]{2}$",
            "type": "string"
          },
          "delivery": {
            "description": "Only listings offering this.",
            "enum": [
              "pickup",
              "shipping"
            ],
            "type": "string"
          },
          "limit": {
            "description": "Default 10.",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "max_price": {
            "description": "Highest price.",
            "maximum": 100000000,
            "minimum": 0,
            "type": "number"
          },
          "min_price": {
            "description": "Lowest price.",
            "maximum": 100000000,
            "minimum": 0,
            "type": "number"
          },
          "near": {
            "description": "Only listings with a map pin within radius_km (default 25) of this point.",
            "properties": {
              "lat": {
                "type": "number"
              },
              "lng": {
                "type": "number"
              },
              "radius_km": {
                "maximum": 1000,
                "minimum": 1,
                "type": "number"
              }
            },
            "required": [
              "lat",
              "lng"
            ],
            "type": "object"
          },
          "page": {
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "postal_code": {
            "description": "Postal code or its start, such as 1100 or SW1A.",
            "maxLength": 12,
            "type": "string"
          },
          "query": {
            "description": "Words to look for, e.g. \"bamboo armchair\".",
            "maxLength": 200,
            "type": "string"
          },
          "region": {
            "description": "State, province or district (matches part of it).",
            "maxLength": 80,
            "type": "string"
          },
          "sort": {
            "description": "nearest needs near.",
            "enum": [
              "relevance",
              "newest",
              "price_low",
              "price_high",
              "nearest"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_listings"
    }
  ]
}

What the leaf hashes

{"body":"5fba149aaf1252869ffae04024bbe50a605fafbf143a3bddea8596ddb7582e86","id":1738531,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793508427182419,"prev":1479274,"subject":"87eef208-71fd-46b7-a0fe-71806142ec45","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-11-01 (302406 rows).

1. 0x0b9d8a8f2fd047778bbfb4ec2fb9a100b7ad840041ffeff90e7d50ee8d034483
2. 0xd8d248ef7e2bc7478a756a471a0b968e700c0d4acc56e8f731aaaa73408f9654
3. 0x2aee440fdb720b13eba2181d8c41adcc1ae0deee2ddc1e0428c9e75e53f30a1f
4. 0x9e5e4e2ee4f1a550145e295e012e98dd8435ce97a5db5072693245b13a363b53
5. 0x6b6ed279d31f3bf59187ae798cfcd51e6c5e456391bf3bfebee61f3d7dc75f73
6. 0xaffacc73376223778caf664d31a72861aeda6e6c9c94e4131dc2b3d27625f53f
7. 0x2043363f6c0f1356e2f557cd35d4aaa3ad9402b8bfb44c05f4bc2d0eb5093be3
8. 0x4627a9021beff9ec004554ab84b9a6cb3f739e724e8621fc97d79f48551d62bd
9. 0xdede2222b8340e112dd776f9834fcc944b50a0de3aa64503ef06b57d1e28e013
10. 0x43728bcb44aa82f0b314292830c0908e09b0b05977a823835ed51097dad9dc77
11. 0xc8b255df9bdb1646a3973ffdb6911be531e1a053b837bb462977a22143ee6f5f
12. 0x73273562bb9feb8409f583f61f13a31bf8bf9cc1d6aa6bad806ce28dc8e38eba
13. 0x4f8e078be8c9d72a90b9191616f58c08c3985b8bccf238ac2ab034862e22fae5
14. 0x18eb74a119177bb5bebcacf2408a5e6d3077ca72c11f6b567524be7d0ca76555
15. 0xb611d3d400373ab2497019fc1d3d5040f4f6589f8d98d8e25ccf29dd2b68ad92
16. 0x5cf5a0a57795246f996e480f05ed085c19d02f7d6e8fc3ddc392412466554f0f
17. 0x02b3554752e71a19b12d7a76dbff436e85387226ceec89fdebdcdaf0122c2932
18. 0x1973893697931b7512ae5dc1a3c92ef92f633ae3574dce9029a35b5e94d2d364
19. 0x3315fd2757fdd435852cc277377234a3f3909a6d2a089d0e36f6d59aacfda910

Day root

0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3

Chained

0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4

Published

On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90