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Evidence row 30608

Observed , by baseline/1.

Kind
listing
About
source_record mcp_registry:io.github.Quantabble/ap-science-diagnostics
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
41f6e5a546451e895ada2e65072619b1a6c3faad16a48351fa74c6cebb690df1
Leaf
0x46e32c4f65bcdfb4c19b8f7878479ed26666b9f29c7f770f7843e541d975c90c

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://quantabble-api.chemandphysicsmastery.workers.dev/"
    ]
  ],
  "name": "Quantabble — AP Science Misconception Diagnostics",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-07-07T04:21:20.533609Z",
        "status": "active",
        "statusChangedAt": "2026-07-07T04:21:20.533609Z",
        "updatedAt": "2026-07-07T04:21:20.533609Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline.",
      "name": "io.github.Quantabble/ap-science-diagnostics",
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://quantabble-api.chemandphysicsmastery.workers.dev"
        }
      ],
      "title": "Quantabble — AP Science Misconception Diagnostics",
      "version": "1.0.0"
    }
  },
  "source": "mcp_registry",
  "summary": "Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline."
}

What the leaf hashes

{"body":"41f6e5a546451e895ada2e65072619b1a6c3faad16a48351fa74c6cebb690df1","id":30608,"kind":"listing","method":"baseline/1","observed_us":1793025363119191,"prev":null,"subject":"mcp_registry:io.github.Quantabble/ap-science-diagnostics","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. 0x46e339bc75ee6e317cfa4f48a6a9ff0e280739765d853c6a56ce5d1a9ee8d98c
  2. 0xa08d80134347b6b87d43ff6cdbed8d0d2c6463c3028b8a2da08b266e52f404a3
  3. 0x819da3efe679a3d7291a5e0502f156583a2000e1354593da6f80d541ebb2eecd
  4. 0x4206294e66027aaf9c5c1584203892120ac50d7a9aa2558afb8c165b1fcd9352
  5. 0x6d9a761aa7e98a7190e1a73b5584a75793574c3b0cc09e34380fda96dbf9d4ee
  6. 0x954740730ebd032b937bd874b87f1d655adcf366ce0dd3a9f62c3d9721e307ff
  7. 0x2a9a2c236e566cf5db8de0f3d882d01a0e992500e46f9d49b3752eb8f8bdf04f
  8. 0x82bcb027aa169e183b7048dad74fea3b78c48f041618108dc324c28b367160c2
  9. 0x2dd39c2b6b9680c202afaaa5570ddd7eedb85cf3d8cdc580ef143cd532bc5aae
  10. 0xcd934e2b871408ef0d8f8e8cb8b358f8962f1b0c7e1c705d07cb56341c09a284
  11. 0xdbfd78a5599cc272407d120acb838567e0679d241216572c603e875a5947fb2e
  12. 0x804dd9d5afe0f1a780e24099fb6b21f5f20545893ea0eeddf5fb9114e2f3edd5
  13. 0x54b29089c0a3cbbd6ddbe58944696110984dd5f418275cb1b77f957c56da8eab
  14. 0x8b27a4c21bf4ba962fd008c8f4300bc6953764a5032b9ab0cfe696b318c45326
  15. 0x4b52a97f7a80ff7778a702b85267b8d2e5c93ce160942656435c29ae7be68bf4
  16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON