Evidence row 222322

What was observed

{
  "count": 6,
  "tools": [
    {
      "description": "Create a stateful browser session that persists cookies and localStorage across multiple scrape/workflow calls.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "ttl_seconds": {
            "description": "Session TTL (default 1800, max 7200)",
            "type": "number"
          }
        },
        "type": "object"
      },
      "name": "create_browser_session"
    },
    {
      "description": "Extract page metadata: title, description, Open Graph, Twitter cards, JSON-LD, canonical URL, and all meta tags.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "url": {
            "type": "string"
          }
        },
        "required": [
          "url"
        ],
        "type": "object"
      },
      "name": "extract_metadata"
    },
    {
      "description": "AI-powered structured data extraction from any webpage using natural language. Returns JSON matching your prompt or schema.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "prompt": {
            "description": "Natural language description of what to extract",
            "type": "string"
          },
          "schema": {
            "additionalProperties": {},
            "description": "Optional JSON schema for the response",
            "propertyNames": {
              "type": "string"
            },
            "type": "object"
          },
          "url": {
            "description": "The URL to extract from",
            "type": "string"
          },
          "wait_for": {
            "type": "string"
          },
          "wait_ms": {
            "type": "number"
          }
        },
        "required": [
          "url",
          "prompt"
        ],
        "type": "object"
      },
      "name": "extract_structured_data"
    },
    {
      "description": "Execute a multi-step browser workflow atomically: navigate, click, type, wait, scroll, screenshot, extract, evaluate. Up to 20 steps.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "persist_session": {
            "type": "boolean"
          },
          "session_id": {
            "type": "string"
          },
          "steps": {
            "description": "Ordered list of workflow steps to execute",
            "items": {
              "properties": {
                "action": {
                  "enum": [
                    "navigate",
                    "click",
                    "type",
                    "wait_for",
                    "wait_ms",
                    "scroll",
                    "screenshot",
                    "extract",
                    "extract_ai",
                    "evaluate"
                  ],
                  "type": "string"
                },
                "format": {
                  "enum": [
                    "markdown",
                    "html",
                    "text"
                  ],
                  "type": "string"
                },
                "full_page": {
                  "type": "boolean"
                },
                "ms": {
                  "type": "number"
                },
                "prompt": {
                  "type": "string"
                },
                "script": {
                  "type": "string"
                },
                "selector": {
                  "type": "string"
                },
                "text": {
                  "type": "string"
                },
                "url": {
                  "type": "string"
                }
              },
              "required": [
                "action"
              ],
              "type": "object"
            },
            "type": "array"
          },
          "viewport": {
            "enum": [
              "desktop",
              "mobile",
              "tablet"
            ],
            "type": "string"
          }
        },
        "required": [
          "steps"
        ],
        "type": "object"
      },
      "name": "run_workflow"
    },
    {
      "description": "Scrape any webpage and return content as markdown, html, text, or json. Pay-per-call web scraping for AI agents.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "format": {
            "description": "Output format (default: markdown)",
            "enum": [
              "markdown",
              "html",
              "text",
              "json"
            ],
            "type": "string"
          },
          "url": {
            "description": "The URL to scrape (http or https)",
            "type": "string"
          },
          "viewport": {
            "description": "Viewport size (default: desktop)",
            "enum": [
              "desktop",
              "mobile",
              "tablet"
            ],
            "type": "string"
          },
          "wait_for": {
            "description": "CSS selector to wait for before extracting",
            "type": "string"
          },
          "wait_ms": {
            "description": "Milliseconds to wait after page load (max 10000)",
            "type": "number"
          }
        },
        "required": [
          "url"
        ],
        "type": "object"
      },
      "name": "scrape_webpage"
    },
    {
      "description": "Capture a PNG screenshot of any webpage. Supports desktop, mobile, and tablet viewports, plus full-page mode.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "full_page": {
            "description": "Capture full scrollable page (default: false)",
            "type": "boolean"
          },
          "url": {
            "type": "string"
          },
          "viewport": {
            "enum": [
              "desktop",
              "mobile",
              "tablet"
            ],
            "type": "string"
          },
          "wait_for": {
            "type": "string"
          },
          "wait_ms": {
            "type": "number"
          }
        },
        "required": [
          "url"
        ],
        "type": "object"
      },
      "name": "screenshot_webpage"
    }
  ]
}

What the leaf hashes

{"body":"c163b5a15c9a357b53a6e8acb9234acdba017b22b61be038c6098f395285003c","id":222322,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793027958122851,"prev":null,"subject":"888cd2eb-3256-4950-962d-34b62992b544","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. 0x58f3d9421c2c3b091e9b69a32d0524b29871277c2008c34016ec29bf27c2247c
2. 0x92a0e744a526c305513ee08d2ea9148b481ceaf1eeedaf4fd357251d976403ee
3. 0x440eab92029930be7e1c3290364fb37268e7713d0894f526209dd64bb21eef41
4. 0xd388f1ac824ed07f45825015d7887b4608994ccd2295e26e1126124400bad888
5. 0x443b128c64e79fc4b84db24102ca4d85cd9f548bc7fdb196a035f4265568541c
6. 0xce115352c637399878786c593eab7fa37fae5f7531b4ae9caa3f60e7fef6cf1e
7. 0x18da3935cc2bd8741a708df9d7a79ce31450501894d24af90ead450dd3f80840
8. 0xf57df5a1b24bf568f1e330d25b92c91ba216a90c7bcfbdc397f3813ecf4c2736
9. 0x1273e25b2ad255e95ccb3cf0023370296f648f0e3797a6d998d9286069032c53
10. 0x3c391d4052bf1c21440a7636450f4fb4083ee346a84eb347e8cb8ad8d7604771
11. 0x049f39c56b6b9cf95e0d9ebf2081f54ac35b4d69ec211e8498958f47d088b46c
12. 0xf522fa92d4115c2b18b96aa43119f8df9b4e96c92f5d6449d0fe96dcd4bf324c
13. 0xc8abb13c711b67d9f1ef145286ed450a0f5566f054a4b290ea3d711873bcbe20
14. 0x5cdeb4648502e0633d01cc4f3379d48cccb9d4f528565b2868eb93db0df9e829
15. 0x7726154b91b2ad65b13849ef6cb6443b1f0ff113a3089c9bd5f2bcfc16be099d
16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae