Evidence row 295464

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Get all copy-and-run ChatGPT prompts in one collection (e.g. slug \"skincare\" or \"email-marketing\"). Each prompt includes the full fill-in-the-blank template body, its variables, the recommended AI model, and the source page URL on xpay.sh/prompts.",
      "inputSchema": {
        "properties": {
          "slug": {
            "description": "Collection slug from list_collections, e.g. \"coffee\" or \"seo\".",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_collection_prompts"
    },
    {
      "description": "Get one prompt by its id, with the full template body, variables, recommended model, pro tip, and source URL.",
      "inputSchema": {
        "properties": {
          "id": {
            "description": "Prompt id from search_prompts or get_collection_prompts.",
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_prompt"
    },
    {
      "description": "List every prompt collection in the free ecommerce ChatGPT prompt library at xpay.sh/prompts — 43 store-type categories (skincare, coffee, apparel, …) and 10 marketing-task sets (email, SEO, product descriptions, ads, …). Returns each collection's slug, label, kind, prompt count, and page URL.",
      "inputSchema": {
        "properties": {
          "kind": {
            "description": "Filter to store-type categories or marketing tasks. Omit for all.",
            "enum": [
              "category",
              "task"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_collections"
    },
    {
      "description": "Search the whole ecommerce prompt library by keyword (matches prompt title, summary, body, and collection). Returns matching prompts with their collection and source URL. Use to find prompts for a specific store type or marketing job.",
      "inputSchema": {
        "properties": {
          "limit": {
            "description": "Max results (default 15, max 50).",
            "type": "number"
          },
          "query": {
            "description": "Keywords, e.g. \"abandoned cart email\" or \"product description for candles\".",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_prompts"
    }
  ]
}

What the leaf hashes

{"body":"9baed48da888cc1c2986680f6bd6752f7ddfdd105ae54c65b102bf6b34ee9fca","id":295464,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793050966177602,"prev":null,"subject":"92215a0b-55ec-4168-a085-1e75eb266cc3","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. 0x2ec630a75f19915175ad511871a2859c7d1ce4a35b5148169fae853c33fbb2e9
2. 0xa3c2d9bfd3ec7956180829cc314652872ed1e484b26ccdb0e7ba714e4ea4d62f
3. 0xd5e2fc17995a7385717e0445ae1db7fe7c46947a6df96f0ba241432ff499dd33
4. 0x8029e335bd10c1d4bef7e97cd69eec63b3ee5adba83b78d107bb44b3791ec992
5. 0xc6c24c6830118530b7b80fc71fea52e3943a9da7423fa14837a93e7500935407
6. 0x7aa8b55cc3bffd3ed812953d3102f4481db17d2ca581bf423322cd8774244dae
7. 0xd0cbd740c52ad280ef485d0594018277c14e1eaeeb56eab58936de9341b37979
8. 0x19bac957eae6c75ceadacfdebb61402f66d60b008678875c6ad813b5c79fd8e6
9. 0x79b99cbdc4336667743bd1eadcd3b8d50a9a6d6f3a9c3f0b4b7947b88fce7ce3
10. 0x45daaa50539c5773a3e61706e61da1f28042f778963819529ed093efc27f3352
11. 0x2087bc34c7c4a9c4216b0697b940d6f0a768262a8da11f1e788c8045c979de9c
12. 0x12cda00da304cf48d9b3c1874c07a6f0a2e143ba0d25e359b8fd805abb057b32
13. 0x36a44931b230976c04691d90bf3a25ed4111d74c78b672850d8025a911ca88dd
14. 0x683955a5b2250ad50568d022a6580d8739b6aff1356779d72a773b088e7c289c
15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae