Evidence row 8395

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://financial-portfolios.ai/mcp"
    ],
    [
      "mcp",
      "https://financial-portfolios.ai/sse"
    ],
    [
      "web",
      "https://financial-portfolios.ai/"
    ]
  ],
  "name": "Financial Portfolios AI",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-25T23:34:44.997724Z",
        "status": "active",
        "statusChangedAt": "2026-10-25T23:34:44.997724Z",
        "updatedAt": "2026-10-25T23:34:44.997724Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "_meta": {
        "io.modelcontextprotocol.registry/publisher-provided": {
          "authentication": "oauth2",
          "categories": [
            "finance",
            "investing",
            "research",
            "data-analysis"
          ],
          "developer": {
            "legalEntity": "Autonomous Intelligent Agents LLC",
            "name": "Financial Portfolios AI",
            "supportEmail": "support@financial-portfolios.ai",
            "url": "https://financial-portfolios.ai"
          },
          "disclosure": "Informational and educational purposes only. Not investment, legal, or tax advice, and not a recommendation or solicitation. No suitability assessment has been performed. All outputs represent mathematical target-model alignment arithmetic.",
          "documentationUrl": "https://financial-portfolios.ai/docs",
          "privacyPolicyUrl": "https://financial-portfolios.ai/legal/privacy",
          "termsUrl": "https://financial-portfolios.ai/legal/terms"
        }
      },
      "description": "Systematic model portfolios: allocations, holdings history, model-alignment arithmetic, research.",
      "name": "ai.financial-portfolios/financial-portfolios-ai",
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://financial-portfolios.ai/mcp"
        },
        {
          "type": "sse",
          "url": "https://financial-portfolios.ai/sse"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/Financial-Portfolios-AI/financial-portfolios-ai-mcp"
      },
      "title": "Financial Portfolios AI",
      "version": "1.4.6",
      "websiteUrl": "https://financial-portfolios.ai"
    }
  },
  "source": "mcp_registry",
  "summary": "Systematic model portfolios: allocations, holdings history, model-alignment arithmetic, research."
}

What the leaf hashes

{"body":"32b39c544f422b0171848cbc7bc652fdfb6d5fbf4567c8142f57bdd7d8865584","id":8395,"kind":"listing","method":"baseline/1","observed_us":1793025287679526,"prev":null,"subject":"mcp_registry:ai.financial-portfolios/financial-portfolios-ai","subject_kind":"source_record"}

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. 0x1f2b2f6719100c40ef6b0826317c4f0df26ef36692d5328f0de763a0a249a44a
2. 0x141ea36473d171291b50ccb4b67b4584ceb255ca6bbd0cebf0304465f422f3f8
3. 0x7ca94c4ed2d3de84933e52376a2e66d36b73804ff41b500762e7d861787ef3e8
4. 0x06cbaddaf40277613e2a873caaf2417ad717792cdfbdf8c32fbc9ac185d44012
5. 0xcc8a1b06507224f548c92a185f3948a52799d2eca23895f9f5ed2cfa7de6f6d8
6. 0x7cee3d8f818bd1359ca571d68952d1cb80af82e6adcc959f4425431f7291c5c0
7. 0xee682a01682b33e77c50645e1fac8e3b75a8e81295e4511b56a9eca1441a1405
8. 0xc7008327390d3a9b6f7afa7940cab3030fea23e8010484c772d19515271a3414
9. 0x0b10e7dc5ab384895c77da3c730bd0cb9f4778e76a553abb650bf6d65dc1b5d4
10. 0xef610ca79dfed4e1e00208e978a3a887d70d47190be682de5aa9a473137a32fe
11. 0x3e9f4dee30700b7fef683685ce6c4e483a5869ff14413228fe9abfbaa1a7cd3c
12. 0xbd94b9d1458901cf513783d5d2bc701e3babbcdf9219e07ee2be8fb2c897060f
13. 0x42b0d9d5b53af5b0fe99cee10ce29fe484db78b92ce49f97190cc6d098651d47
14. 0x9dfd312f3d4937f7cb144cee3987e8516f222932b4ea286605236d73cfa1ed16
15. 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae