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Evidence row 41390

Observed , by baseline/1.

Kind
listing
About
source_record mcp_registry:io.github.mathursrus/fraim
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
577dda929b9976fbdbe767a7ab27d84e8460ce674af3a337aeaf6a743a4934cb
Leaf
0xadc55a0ec21428b852caf4c74e2bccb62287739edf215f795d5edac4e3ff29e6

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://fraim.wellnessatwork.me/mcp"
    ],
    [
      "web",
      "https://fraimworks.ai/"
    ]
  ],
  "name": "FRAIM",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-06-29T20:22:53.579342Z",
        "status": "active",
        "statusChangedAt": "2026-06-29T20:22:53.579342Z",
        "updatedAt": "2026-06-29T20:22:53.579342Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "_meta": {
        "io.modelcontextprotocol.registry/publisher-provided": {
          "auth": "OAuth 2.1 PKCE through FRAIM public MCP auth discovery; no static API keys are stored in this registry metadata.",
          "issue": 674,
          "lastVerified": "2026-06-29",
          "privacyPolicy": "https://fraimworks.ai/privacy",
          "termsOfService": "https://fraimworks.ai/terms"
        }
      },
      "description": "Accountable AI workforce workflows with jobs, skills, rules, evidence, and mentoring.",
      "name": "io.github.mathursrus/fraim",
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://fraim.wellnessatwork.me/mcp"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/mathursrus/FRAIM"
      },
      "title": "FRAIM",
      "version": "2.0.180",
      "websiteUrl": "https://fraimworks.ai"
    }
  },
  "source": "mcp_registry",
  "summary": "Accountable AI workforce workflows with jobs, skills, rules, evidence, and mentoring."
}

What the leaf hashes

{"body":"577dda929b9976fbdbe767a7ab27d84e8460ce674af3a337aeaf6a743a4934cb","id":41390,"kind":"listing","method":"baseline/1","observed_us":1793025399611527,"prev":null,"subject":"mcp_registry:io.github.mathursrus/fraim","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xadc55425edaeff499fc8efbb037f7de09540d9ba2fd0ccf218b4a59c0848c951
  2. 0xb703651fa9476f3a2a73b419b459475123b1f3127075e7fb02d023f5f8bf47da
  3. 0x270b6cfe10f7a701f58f4836a08884f7ce906b73bc4c9739771430b823080a33
  4. 0x8a43a591fa091cd440feae169cbbd07713c0e4e6e6da19ad25a1d4c86eabef5f
  5. 0x53f663f64dadd96c2677c5e12b35b17c22e355dc7d119a7df7e4ab87d344ec56
  6. 0x20277d6bc8e6c518465f03839742bbf2af32a9b3906ffbb56109fcc5b3d9bdcc
  7. 0x8df3326ba6c79036ec887b6033e40c9ad0164cd36af6bc4b1aa51184797cfe98
  8. 0x48603c01046489dbe89e910ebf488db9b52ed5a03805a6afce3e06e6e4e27b03
  9. 0xe393914bf23221a102ead307dfc4cb6235fdd3b5619fe7016b0dc6daa74d1a6f
  10. 0xb5688486812d7136b27c2bdbc2ae09bc9ad3ac941f3ea900e81fe9d1958be50e
  11. 0x317c51a47b234292d19f812377ad1cc4d05ded07987c4ea1ac9ae1ad2b20f0d2
  12. 0x51f06c175a7c946ebe50ef243d6f9370a8fe85c996e53eff19ffcc4585ea8c18
  13. 0xe292b5a99219f136bce6647ce74b21240a1c7331d2475b1839220fd363c94217
  14. 0x3b4dba7d874fc323b0a364140a9c60f37bf547fe671897653118a9873fe03420
  15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON