Evidence row 1478981

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Put the research summaries of two or three peptides side by side, each with numbered sources and its course link, for questions like \"BPC-157 vs TB-500\" or \"semaglutide vs tirzepatide\".",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "peptides": {
            "description": "Two or three peptide ids or names.",
            "items": {
              "type": "string"
            },
            "maxItems": 3,
            "minItems": 2,
            "type": "array"
          }
        },
        "required": [
          "peptides"
        ],
        "type": "object"
      },
      "name": "compare_peptides"
    },
    {
      "description": "Get the evidence on one peptide from its Peptides Academy research dossier, with verbatim quotes from the studies and numbered sources. Without a section it returns the summary and the list of sections; pass a section (for example \"human record\", \"regulatory status\", \"safety\", \"mechanism\") to read that part in full.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "peptide": {
            "description": "Peptide id or any of its names, for example \"bpc157\", \"semaglutide\", \"Wegovy\" or \"GHK-Cu\".",
            "type": "string"
          },
          "section": {
            "description": "Optional section id or topic from the section list.",
            "type": "string"
          }
        },
        "required": [
          "peptide"
        ],
        "type": "object"
      },
      "name": "get_peptide_research"
    },
    {
      "description": "List the peptides Peptides Academy covers, or find the ones matching a name, brand name, code name or topic (for example \"Ozempic\", \"BPC-157\", \"sleep\", \"GLP-1\"). Returns each peptide id, its names, a one-line summary and its course link. Use it to resolve a peptide id before get_peptide_research.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "query": {
            "description": "Optional name or topic to filter by. Leave empty to list all.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_peptides"
    },
    {
      "description": "Search the research papers and trial registrations behind the Peptides Academy dossiers by topic, peptide, author or journal, for questions like \"what studies looked at BPC-157 and tendon healing\" or \"semaglutide cardiovascular outcomes\". Each hit gives the citation, DOI, PubMed or ClinicalTrials.gov link, the courses whose research uses it, and what our dossier says about it with short verbatim quotes, numbered as sources. It never returns full texts or abstracts.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "limit": {
            "description": "How many papers to return, 1 to 10. Default 5.",
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          },
          "peptide": {
            "description": "Optional peptide id or name to limit results to papers behind that course, for example \"bpc157\" or \"Ozempic\".",
            "type": "string"
          },
          "query": {
            "description": "Topic, finding, author or journal to search for, for example \"BPC-157 tendon\" or \"semaglutide cardiovascular\".",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_papers"
    }
  ]
}

What the leaf hashes

{"body":"262ccfdcd727f12ef7979f51640decf85e8d15da97d710513aa417aa6e0e384f","id":1478981,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793430188947926,"prev":null,"subject":"e77929be-ccf3-43bd-8246-16769974d3ae","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-31 (246033 rows).

1. 0xfcd0292b4ec68a6ca30df406dba87576e8132b0269de8b075af4ecbac8c02b4c
2. 0x4ab13fd291fd99c3f0f1905240abaa1e7c40b9f53cfe349a31402e88301bbbc2
3. 0x33ae3b7761d13bab0b836028255f156e00bc4e90f35ddcd332ad0d1fdcaeafc4
4. 0xa0630edd102d7d436135f27daac0131f933b6c8386ad5356b60cb08ecd1bc03e
5. 0x8f6b112247255fef1403f9f6d552dac236d0a5dfe88535b2aa8efa9f76441627
6. 0xf180b841f09fa9043f7e79c77d42d142a7534b3e0af2585bea3168dedfe8ad7e
7. 0x07ce6edd8417230357ba8dfb7e466fc67cce1cd7897fe4f31b9998a98c89b2b7
8. 0xf0cdda300036ea0ff510c4460f224c17c41750a88b1e15239d05393933fabcc7
9. 0x42dd6c30829b98e74cf4b815459e7d10882f3cf75ab39907ffad28154da5bc64
10. 0x49ce61d1dfcbf5645dfb614fda21a527a61d5d0a6235a369d26b94f2a1f9a6e2
11. 0x218ed53467f0ee9bc3abb077b2522cbd47fae8469b2fdc2a102acfe81e83e14e
12. 0x375de592a0d98fa5e760f9df5f554fa88fad10d4436619193ddeb7a3453fe6ce
13. 0x5351bb459a6a771e5069a93e1e2e3827a67e432c5691b54849b4102bbcbf5577
14. 0xe2a6611300abdb7312e664a37fe7f1b470ff8ebe48733a7b7064c0db1f012dd5
15. 0xe9e97d8cdaf19b6da06606a22b4eea548063df6bacb661abea4c37aa637b5c3b
16. 0x4befbbd74452b2a3a89b7e1e809ba011f1be78aeb8153059503fda47c454d086
17. 0xa1146af524f673843507e7427a575964580eef01bc0e0eae466a7920df017ab2
18. 0x0504a25438f3c7932125463198ca74c5064f23f71a5c92763b3fc96a98cc8b57

Day root

0x24463725d1c0d9894bd6123691d532547aaa79f0762c0e45aa6a68acf1fd71ab

Chained

0x7d4824ff313dee7252a46f9d5c37b452851deb6c9f24a40c2f74ee0e53c82980

Published

On Arc Testnet, block 70093156: 0xedb7b832f4ebf6781b5ecd2ed241c435b862f4d3761541fa31adc1831b8c44a0