Evidence row 568112

What was observed

{
  "count": 2,
  "tools": [
    {
      "description": "Reads the AI Visibility Index by AIGROW: for a kind of business and a city or country, which businesses ChatGPT, Claude, Gemini and Grok name when buyers ask for a recommendation, with each one's share of the answers, the edition and the link to the Index page. Covers 44 categories (local trades such as dentists and plumbers by city, software such as CRM by country) across 88 cities and 20 countries. Category and place may be written in any of the eleven supported languages.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "category": {
            "description": "The kind of business, for example \"dentist\", \"Zahnarzt\" or \"crm\".",
            "maxLength": 100,
            "minLength": 1,
            "type": "string"
          },
          "language": {
            "description": "The language to answer in, as an ISO 639-1 code: en, de, fr, es, pt, it, nl, pl, sv, da or no. Any other code answers in English.",
            "maxLength": 16,
            "type": "string"
          },
          "place": {
            "description": "A city or a country, for example \"Berlin\", \"Milano\" or \"Germany\".",
            "maxLength": 100,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "category",
          "place"
        ],
        "type": "object"
      },
      "name": "ai_index_lookup"
    },
    {
      "description": "Runs AIGROW's free AI visibility scan of one business: reads its website, writes the buyer questions a customer would ask an assistant, puts them to the models behind ChatGPT, Claude, Gemini, Grok and Meta AI, and reports how often the business was named, a score out of 100, who was named instead and what holds it back. Takes about three minutes and reports progress as the answers come in. Shares the free scan's limits on aigrow.gg: two new websites an hour per network address (a hosted client shares one among its users), and a daily cap. A city or category makes it a new scan, even of a website scanned before.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "category": {
            "description": "What the business is, for example \"dentist\" or \"CRM software\".",
            "maxLength": 200,
            "type": "string"
          },
          "city": {
            "description": "The city or area the business serves, if the website may not say.",
            "maxLength": 200,
            "type": "string"
          },
          "language": {
            "description": "The language to answer in, as an ISO 639-1 code: en, de, fr, es, pt, it, nl, pl, sv, da or no. Any other code answers in English.",
            "maxLength": 16,
            "type": "string"
          },
          "name": {
            "description": "The business name, if known.",
            "maxLength": 200,
            "type": "string"
          },
          "website": {
            "description": "The business's website address, for example bakery-example.com.",
            "maxLength": 300,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "website"
        ],
        "type": "object"
      },
      "name": "check_ai_visibility"
    }
  ]
}

What the leaf hashes

{"body":"42349e644860a3492803484de028679dbbb6d8939ed89611384704f55d23fd25","id":568112,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793138930045323,"prev":null,"subject":"ed3c112d-c3ec-45f7-ae63-764c1e21dfef","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0x5d5743a82deaf07539c64a238e155ac9e09b21026bb58d21f122b9342b21d5d6
2. 0xc10a154e796d63335ce70ce4dbd8864412f3e4de81ad3b160d2762a0d80e4010
3. 0xc437056f10d4de8f6846dc6eef4118cef421672d5ad4790f5a3ceafb7463c37a
4. 0xc1a502f394f8a094257e41ed0ed41c524ff7f1b4379c387d9a3a910235439ef5
5. 0xe4577efd78e194bce80b862e95838b558921df75f4f46e0bb602b8ffb49a3198
6. 0x8d870e4b4134181342257bb3e9abe8b854db7362ec8f32bd8ee7e077864a3425
7. 0xa025d78b0fd70332e7529c1a7fe369957f1b02dbf652d69f05f910cafe9b4f96
8. 0xa7bcaa142f2a8fbf2f5d181d007b50ed328c5efab3039d292f42b18764964c74
9. 0x3004300d684a894e81185a3f9c84c4bd786dfcdbfa78c02c7bbb47f78a9a2e7e
10. 0x30db4ea8584fb766bec301357e718a2b18fcc9bc541dc98df39fe74211728260
11. 0x6a8800f5c72539b8ecaf35e93ccea9609b976b2b3da75c06b7295d8e7d5f176e
12. 0x548136c1e3ccb412bb6e8b0e92df8bd9db651531331fa2a46332b9c2956172f5
13. 0xeaf6b21867367f85a965f982b6593c42eafe4fdf74e94b675523a6478de49a54
14. 0x4277e02be0b5d91d78bc2247e37d402572474ba896c2e8f45765c8dc4e244d36
15. 0x6f00f0da417f4126951ba8ba9b7962c847e91f5c61364ad9ad47e5f979698a60
16. 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4