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Evidence row 33061

Observed , by baseline/1.

Kind
listing
About
source_record mcp_registry:io.github.alphaparkinc/genpark-vector-embedding-cache-deduplication-sentinel-skill
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
01ffeaf686a31ce13073c5b369f806932621c80826310be0172730effe8d41ea
Leaf
0x37535c4dc841449691de4e8676caf7bedc7ba2b1c14a3af63e4690a956436899

What was observed

{
  "endpoints": [
    [
      "web",
      "https://genpark.ai/mcp"
    ]
  ],
  "name": "GenPark Vector Embedding Cache Deduplication Sentinel",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-19T16:14:55.44344Z",
        "status": "active",
        "statusChangedAt": "2026-10-19T16:14:55.44344Z",
        "updatedAt": "2026-10-19T16:14:55.44344Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "High-dimensional vector embedding semantic SimHash deduplication sentinel with LRU cache simulation",
      "name": "io.github.alphaparkinc/genpark-vector-embedding-cache-deduplication-sentinel-skill",
      "packages": [
        {
          "fileSha256": "659df13b66e70b6c6b64be0e8b0ff2eb8cc78aa82309e2b13cda1f36ca058717",
          "identifier": "https://github.com/Alpha-Park/genpark-vector-embedding-cache-deduplication-sentinel-skill/releases/download/v1.0.1/genpark-vector-embedding-cache-deduplication-sentinel-skill.mcpb",
          "registryType": "mcpb",
          "transport": {
            "type": "stdio"
          }
        }
      ],
      "repository": {
        "id": "1425867455",
        "source": "github",
        "url": "https://github.com/alphaparkinc/genpark-vector-embedding-cache-deduplication-sentinel-skill"
      },
      "title": "GenPark Vector Embedding Cache Deduplication Sentinel",
      "version": "1.0.1",
      "websiteUrl": "https://genpark.ai/mcp"
    }
  },
  "source": "mcp_registry",
  "summary": "High-dimensional vector embedding semantic SimHash deduplication sentinel with LRU cache simulation"
}

What the leaf hashes

{"body":"01ffeaf686a31ce13073c5b369f806932621c80826310be0172730effe8d41ea","id":33061,"kind":"listing","method":"baseline/1","observed_us":1793025367617651,"prev":null,"subject":"mcp_registry:io.github.alphaparkinc/genpark-vector-embedding-cache-deduplication-sentinel-skill","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. 0x37531edd681b8c1e6f926409f675a5728152546c1ad4c3286092a56010b97941
  2. 0xa8b8740670830d1c1f1308adf46ae416b8af107f63be6cd4b85eae719efb0e48
  3. 0xa61e575d7b25cea9e5cba03b849d11a21ced7f1c7f4f3d6c604644023020f77f
  4. 0xccf4b4ebef77cebfb2c91cb55c1ec5a69f6f5ecb9611772bf8f63e4426a4ab8f
  5. 0xa2077af6f80c582bb76f8f78e9e60dc65fc3cb832c538d363db66fdd5ed0f23d
  6. 0x54197904948df6f6b1883f45304fc4cf51247e0aff46d09609d7849635982a1b
  7. 0x3827a9c62a1f8ad66a75cb115907fc3cf475b8e69fb137b5c8bc6bb26033c51c
  8. 0x283bca3eaba5d758df9c11614827cdcbbe3e19df80d98d17a3f15935e645bcc4
  9. 0x66b1af07a0e26a1edcd7d2309aa5399c260814b0544499e706ab7bb48928e348
  10. 0x8681b8a904a71605e6e13e7c5c8ece78e783c5629075c54dc57234a15410c0d8
  11. 0x92b5da9306740c6310c9590169e789efc810ad3fa152b365777b6395fec4767f
  12. 0x8b23d34f6cd746f123b1e4d09449280800a81e00febe1fd9224b6802057238d5
  13. 0xdfc7a920beab71e6882e75c57bf136a5354c4ea989a35108a69046bc62059090
  14. 0x4338355a835617a26aa0bfcc971e84eb030d84e2aa840e3c8af958921dd080c7
  15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
  16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON