Evidence row 2581717

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "Returns one prompt in full, from an id given by search or the address of a prompt page: the original text that produced the video, its translation when there is one, the blanks to fill, the model, the video and the credit of its creator.",
      "inputSchema": {
        "properties": {
          "id": {
            "description": "The id of a result of search, or the address of a prompt page.",
            "type": "string"
          },
          "language": {
            "description": "Language of the user, as a code such as fr, es, ja, zh, zh-tw (50 languages). Titles, summaries and links come in this language, and fetch adds the translated prompt. Defaults to en.",
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "fetch"
    },
    {
      "description": "Lists what search can filter on: the video models the library covers, its categories and its camera, light and style techniques.",
      "inputSchema": {
        "properties": {
          "language": {
            "description": "Language of the user, as a code such as fr, es, ja, zh, zh-tw (50 languages). Titles, summaries and links come in this language, and fetch adds the translated prompt. Defaults to en.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_options"
    },
    {
      "description": "Searches a free library of AI video prompts that really worked, each published next to the video it produced. Takes a plain-language description of a video (subject, mood, style, shot) in any language; English gives the closest matches. Returns the prompts that fit, best first, each with how well it fits (strong, possible or weak), its page, its video, its model and its creator. The full text of a prompt comes from fetch.",
      "inputSchema": {
        "properties": {
          "category": {
            "description": "Only this category, as a slug from list_options.",
            "type": "string"
          },
          "format": {
            "description": "Shape of the video.",
            "enum": [
              "landscape",
              "portrait",
              "square"
            ],
            "type": "string"
          },
          "language": {
            "description": "Language of the user, as a code such as fr, es, ja, zh, zh-tw (50 languages). Titles, summaries and links come in this language, and fetch adds the translated prompt. Defaults to en.",
            "type": "string"
          },
          "limit": {
            "description": "How many results. Defaults to 6.",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "model": {
            "description": "Only prompts made with this video model, for example \"veo\", \"seedance\" or \"Kling\". See list_options.",
            "type": "string"
          },
          "query": {
            "description": "What the user wants to make, for example \"a slow-motion perfume ad\" or \"documentaire sur la Corée filmé au caméscope\". Leave empty to get the most liked prompts for the filters.",
            "maxLength": 500,
            "type": "string"
          },
          "technique": {
            "description": "Only prompts using this technique, as a slug from list_options, for example \"dolly-in\".",
            "type": "string"
          },
          "with_sound": {
            "description": "Only videos with sound.",
            "type": "boolean"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search"
    }
  ]
}

What the leaf hashes

{"body":"d65c2fbdd35b505dece29e1f47efa53217e9f121e45b900398c956eea46c7ee4","id":2581717,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793710252646000,"prev":null,"subject":"1ad06a60-7678-4e83-9e07-bd6a5d2dcdce","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-11-03 (425475 rows).

1. 0xbc9f947d315338bf05704a458932841eb5d6a597c0cd7b1526ffef5d9f986c2d
2. 0xcad58f360b9e0443f3915a1aefa6b9118b26b0f84d250d4e70757750b9dcd954
3. 0xf600fd62d030dcf4801319dd33ad57a8f59a0641f46b8e8e1ea4918699cbd52b
4. 0x55310afc35077837cca6c0ac1d7eb971d35cea44faf9a5fa2de88eaccafddf48
5. 0x51ca495f259166a46b1615441f3f782375981a0dfee0242c55ddb092f4e509d0
6. 0x6ff6acbf01b756f33d6878c4a5eb0568dddd736fcf691ea16b90b639093502a2
7. 0x81a1d2b62ae7840e05ae0c0f2c0088960a6b4d5ac05dd5c5c0e779e33d2563c8
8. 0x65a34493da191c5f697d550bf05b33cb0ea6b8bf72ba67ffa5d060a6309452c7
9. 0xe991f70bd579057b7677969654456180e9a9577d892dea9c164ec451ba69ee91
10. 0x68007dd3f2e4c586b805f12ec32d1dbd210ab8219d5104a181f7d45b6f71be84
11. 0xa34ab53e0e0cf05e33df3af60414296935ccafd1f60b30e1686fed58ea0f8604
12. 0x63a5991c187a9530e2177a341da1cf5333e53e4df48dc340dc718a9a7d54a2d3
13. 0x4b0168dc3cf75706d02e85e816aabcf4a2cbb6cd44a0eea1377f703048a10500
14. 0xe48dd050d36f1a75a7d005677c3e962435e7b5ad246de637e9e1fc9be7665b0a
15. 0xfeca812d56a4bb476433459149c92fcd8a270bdbf2bbbce1949fb4bf7848f5ed
16. 0xf8c1a0cdf4ba2eb105bc3e83d2f2b121cab4a34fb5a3846fa592909906f7fdaa
17. 0x39dab39081985bbfffe23b080399a9d1a9cb9c2c8960102350c4212113cb2cba
18. 0xac5402954216dc6c7020a6405675c8fc3b0828c2ab02943d80de52677a2f1fc3
19. 0x85f3a27c16056a361d9ba33355a575ca7123f86de901b204c88953c4b8ea441a

Day root

0xb646ffa569e24bf8336b0a15a9d98d0a2f1239f58e10c2b18a9d22e43343566a

Chained

0x35e926359fd19031c6b5e08fb3b44f2524386a57c8fdd353336c185603f53d43

Published

On Arc Testnet, block 70601990: 0xa5f9dadba13cde129126b950e64b815e6833cb8ff53b75026c9dbe769c3768c7