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Evidence row 35863

Observed , by baseline/1.

Kind
listing
About
source_record mcp_registry:io.github.datagleaner/data-gleaner-mcp
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
cc2596fdcfb50f469a68360ad858eb58f9de0f234a5a3dbd3ff9ad00572cd6e0
Leaf
0xa52c936e95927958c4fe68e13774ff4b212f7dddbedfa1194ab8a1234abaefa7

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://mcp.apify.com/?tools=datagleaner/website-contact-details-scraper,datagleaner/google-hotels-scraper,datagleaner/weibo-scraper,datagleaner/bilibili-scraper,datagleaner/sitemap-extractor,datagleaner/youtube-channel-contacts,datagleaner/app-developer-email-finder,datagleaner/team-page-contacts,datagleaner/shopify-partner-contacts,datagleaner/researcher-email-finder"
    ],
    [
      "web",
      "https://apify.com/datagleaner"
    ]
  ],
  "name": "Data Gleaner",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-10T14:35:45.655422Z",
        "status": "active",
        "statusChangedAt": "2026-10-10T14:35:45.655422Z",
        "updatedAt": "2026-10-10T14:35:45.655422Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Pay-per-result web data tools: company and YouTube contacts, hotel prices, Weibo and Bilibili.",
      "name": "io.github.datagleaner/data-gleaner-mcp",
      "remotes": [
        {
          "headers": [
            {
              "description": "Optional when your client supports OAuth (it opens an Apify sign-in). Otherwise 'Bearer <your Apify API token>' from console.apify.com/settings/integrations.",
              "isSecret": true,
              "name": "Authorization"
            }
          ],
          "type": "streamable-http",
          "url": "https://mcp.apify.com/?tools=datagleaner/website-contact-details-scraper,datagleaner/google-hotels-scraper,datagleaner/weibo-scraper,datagleaner/bilibili-scraper,datagleaner/sitemap-extractor,datagleaner/youtube-channel-contacts,datagleaner/app-developer-email-finder,datagleaner/team-page-contacts,datagleaner/shopify-partner-contacts,datagleaner/researcher-email-finder"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/datagleaner/data-gleaner-mcp"
      },
      "title": "Data Gleaner",
      "version": "1.0.0",
      "websiteUrl": "https://apify.com/datagleaner"
    }
  },
  "source": "mcp_registry",
  "summary": "Pay-per-result web data tools: company and YouTube contacts, hotel prices, Weibo and Bilibili."
}

What the leaf hashes

{"body":"cc2596fdcfb50f469a68360ad858eb58f9de0f234a5a3dbd3ff9ad00572cd6e0","id":35863,"kind":"listing","method":"baseline/1","observed_us":1793025374724500,"prev":null,"subject":"mcp_registry:io.github.datagleaner/data-gleaner-mcp","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. 0xa52ce4255113f885a759978633b19030797cb25dc44e785c3b182d7e16eb89a6
  2. 0xd12175c41877ee53dabd3481111d3cc297f64b0531c122865dd58d4786a3716b
  3. 0xfa2dc23724aa1f05a4983441b4054b844dfeccf1125407627e3a43281e205e45
  4. 0x5d2db68442388caeadbb03fd95a0ee83d09804c97661076a2dfd914fc44a1f36
  5. 0x9c7cd3de966fdf13e1930176292077898b00d441f11040533c1f2a1db8a41469
  6. 0xb0799beb617647b632dd633c733ec579512c1033682a21008da38a3bd2bd6ed7
  7. 0xf263c653d1c095bff5af76e20ff1b7509f1f3e4ff37d6c92376b5753387aa7ef
  8. 0xf3c62856290db46d79e30752c0510ff671aea0684e82ba446921117cbb8a33ec
  9. 0x5b246434376ca0995dd62493e4f2735f98c56a53ad1cb0e51dbfd4862a23a293
  10. 0x494d50e7c2a667a94651588fb1c6bae6df468e826359a35ba4b503d878536df7
  11. 0xf237135c66ca84b49bee4316c469fc0289ef400162349fc2344fca1bb98dbd0e
  12. 0x21725c62783071369e87d9e0abedb3d8cc37bdab8d0d58308c28aeb7cfd2bc8c
  13. 0xc34c13c58ba9c342ea1b833ac1882a4aea22777c4fd1092b2f83d3bac6b9f845
  14. 0x428106f4ae4ec142f17aebf6fa50935242f8d3f1c211cf95d6351d03d11da2b7
  15. 0x62a900133713919f4eed33d8336876b7a6d538233b8a4f3ed03b29aa44f5bad0
  16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON