Evidence row 560976

What was observed

{
  "count": 7,
  "tools": [
    {
      "description": "Fetch detailed statistics and metadata for a GitHub repository. Returns star count, fork count, open issue count, primary programming language, project description, last updated timestamp, and contributor count. Use for evaluating open-source projects, competitive analysis, or monitoring project health.",
      "inputSchema": {
        "properties": {
          "repo": {
            "description": "Repository in format 'owner/repo' (e.g. 'facebook/react', 'kubernetes/kubernetes')",
            "type": "string"
          }
        },
        "required": [
          "repo"
        ],
        "type": "object"
      },
      "name": "get_github_repo"
    },
    {
      "description": "Look up Node.js package information from NPM registry. Returns latest version, download statistics (weekly/monthly), dependency list, package description, license, and GitHub link. Use for evaluating JavaScript libraries, checking maintenance status, or reviewing package popularity.",
      "inputSchema": {
        "properties": {
          "package_name": {
            "description": "NPM package name exactly as published (e.g. 'express', 'react', 'lodash', '@babel/core')",
            "type": "string"
          }
        },
        "required": [
          "package_name"
        ],
        "type": "object"
      },
      "name": "get_npm_package"
    },
    {
      "description": "Retrieve Python package information from PyPI (Python Package Index). Returns current version, download counts, dependencies, release history, package homepage, and PyPI page URL. Use for Python library evaluation, dependency analysis, or checking package quality metrics.",
      "inputSchema": {
        "properties": {
          "package_name": {
            "description": "PyPI package name as listed in registry (e.g. 'numpy', 'django', 'flask', 'pandas')",
            "type": "string"
          }
        },
        "required": [
          "package_name"
        ],
        "type": "object"
      },
      "name": "get_pypi_package"
    },
    {
      "description": "Search arXiv for academic papers in computer science, machine learning, AI, physics, and mathematics. Returns paper titles, authors, abstracts, submission dates, and direct PDF download links. Use for researching algorithms, ML techniques, or emerging CS topics.",
      "inputSchema": {
        "properties": {
          "max_results": {
            "default": 10,
            "description": "Papers to return (default 10, suitable for focused research)",
            "type": "integer"
          },
          "query": {
            "description": "Research topic in CS/ML/physics (e.g. 'transformer architectures', 'distributed systems', 'quantum algorithms')",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_arxiv"
    },
    {
      "description": "Search GitHub repositories by keyword to discover code, projects, and libraries. Returns matching repositories with star count, description, language, and URL. Use for finding libraries, examples, or competitive projects in specific domains.",
      "inputSchema": {
        "properties": {
          "max_results": {
            "default": 10,
            "description": "Number of repository results to return (default 10, up to 100 for broad searches)",
            "type": "integer"
          },
          "query": {
            "description": "Search keywords or project name (e.g. 'web framework', 'authentication library', 'data visualization')",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_github"
    },
    {
      "description": "Search Google Scholar for computer science research papers, citations, and academic publications. Returns paper title, authors, publication details, citation count, and link to paper. Use for finding research on CS topics, reviewing state-of-the-art, or citation tracking.",
      "inputSchema": {
        "properties": {
          "max_results": {
            "default": 10,
            "description": "Maximum papers to return (default 10)",
            "type": "integer"
          },
          "query": {
            "description": "Computer science research topic (e.g. 'natural language processing', 'distributed consensus algorithms')",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_google_scholar"
    },
    {
      "description": "Search Stack Overflow Q&A platform for programming questions, solutions, and code examples. Returns matching questions, answer count, view count, accepted answer snippet, tags, and link to full discussion. Use for troubleshooting, code examples, or finding solutions to common problems.",
      "inputSchema": {
        "properties": {
          "max_results": {
            "default": 10,
            "description": "Number of Q&A results to retrieve (default 10, higher for comprehensive answers)",
            "type": "integer"
          },
          "query": {
            "description": "Programming problem or question (e.g. 'how to merge arrays in javascript', 'python asyncio example')",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_stackoverflow"
    }
  ]
}

What the leaf hashes

{"body":"8411e233a639a076162c5bd70a881581e576642362600bed660d0bf86644e18e","id":560976,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793136709292507,"prev":null,"subject":"b7c5593b-a190-4a25-b57f-ed1c3701a0b6","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. 0xcc8dbbe7b4172631752f0bc2f84b00442be225f0fc8d63cd739ac2e6a3ca3371
2. 0x7285579d2cfcb9c957d50c58cb8cd65b0b0bbd80e8da89d3e47f35f2ce909d80
3. 0xc71e43f7a1d945e03475686d13e06c6dc1a3264dbaace716ef427ead40cd21aa
4. 0x3f0b7ed0f50a0866a8fed5d43ccc67787c0f9e25693735463a778d5c15f5f31b
5. 0x0d1033a52eedc785a635c7c1ee9a329a7aefcbf0aaf42bc7738306430857c601
6. 0x71c48f490bd86e79ef0abfe80debe186988791525df7a30e15b110e5ef263ff2
7. 0xecfadd8fb548ec9df59016c2f475359d45a0e10e771998761dfee4c70f338b70
8. 0x66e839354988c80fa75fc2df7415dc77db5bc385dd9cf39c07bae309f8c9f9d3
9. 0xac15dafbec928364e6fbd32eb26e80422c838965fb1805b543360fdf64e1329d
10. 0x6903dfc6a8eef68f78bd5dca209fb04016ed07e4688163fadd127d834549d06e
11. 0x4eb72d2edb3b063d190586d64965ee7a33e28b4ffbc292fb4be0995ba6f8daa5
12. 0x6c0803f2d7123e0bcd2a148e9fde0f429f31dc964ced287e760ee656fcd9912f
13. 0xeb77e9d1884bf470f4a13a5869956a83ac37957112a29ccb9e63ddf7791b5a0b
14. 0xcc49fd573532e5a29f5be4033f62a2eff71456c020bd2258312b98e95cfe301e
15. 0x969cd44e5a4e8dc3110540398fbf689659eb51df735c1cda5d8f021ef9ff5683
16. 0xa94627de1af0e823832e05a9069b304ecccb8c0cdb8f9cfc4f2039bfb9799dc5
17. 0xdf1105afdc109de3c09a98fc8a3864159ad964e6f49b635c105a27a1e1f14310
18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4