addrbookFor publishers
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Evidence row 1770631

Observed , by sync.mcp_registry/1.

Kind
listing
About
source_record mcp_registry:io.sslip.2-29-135-242/radar-market-research-mcp
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
bcbf6f4c7d9eb7165c28973c58553476255c1b0eed47e1577289a9cdabf1b21d
Leaf
0x46dc21f931cdfe49d68443abc384da467693cac6d5c6633ba1534efd79cd3752

What was observed

{
  "endpoints": [
    [
      "web",
      "https://apify.com/martin10291"
    ],
    [
      "mcp",
      "https://mcp.apify.com/?tools=martin10291/google-trends-explorer,martin10291/reddit-posts-comments-extractor,martin10291/github-trending-scraper,martin10291/medium-articles-scraper,martin10291/apple-podcasts-scraper,martin10291/eu-tenders-ted-monitor,martin10291/local-business-leads-osm,martin10291/tiktok-trend-alert-bot"
    ]
  ],
  "name": "Market Research MCP",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-11-01T14:30:05.592469Z",
        "status": "active",
        "statusChangedAt": "2026-11-01T14:30:05.592469Z",
        "updatedAt": "2026-11-01T14:30:05.592469Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Market research for AI agents: Google Trends, Reddit, GitHub, HN, Medium, podcasts, EU tenders.",
      "name": "io.sslip.2-29-135-242/radar-market-research-mcp",
      "remotes": [
        {
          "headers": [
            {
              "description": "Bearer <your Apify API token> (free account at apify.com, Settings > API & Integrations)",
              "isRequired": true,
              "isSecret": true,
              "name": "Authorization"
            }
          ],
          "type": "streamable-http",
          "url": "https://mcp.apify.com/?tools=martin10291/google-trends-explorer,martin10291/reddit-posts-comments-extractor,martin10291/github-trending-scraper,martin10291/medium-articles-scraper,martin10291/apple-podcasts-scraper,martin10291/eu-tenders-ted-monitor,martin10291/local-business-leads-osm,martin10291/tiktok-trend-alert-bot"
        }
      ],
      "title": "Market Research MCP",
      "version": "1.0.0",
      "websiteUrl": "https://apify.com/martin10291"
    }
  },
  "source": "mcp_registry",
  "summary": "Market research for AI agents: Google Trends, Reddit, GitHub, HN, Medium, podcasts, EU tenders."
}

What the leaf hashes

{"body":"bcbf6f4c7d9eb7165c28973c58553476255c1b0eed47e1577289a9cdabf1b21d","id":1770631,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793546249626293,"prev":null,"subject":"mcp_registry:io.sslip.2-29-135-242/radar-market-research-mcp","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (302406 rows).

  1. 0x46dc8ad4fe141a3c52e57364fcb6253812c2bbff2daea73937cfc530064e0027
  2. 0x4003954096fad676ab3939b17e0dab28663d29efc6f084b13016afee97310129
  3. 0xfb3539fd424712b151ca75e083fef79ac3e6e08451ebaeb801ec1b23d4ad0fe2
  4. 0x86368a061afd8471c6c29fc698e9d03a7d598dd3114906a518ddc495fa8bdd27
  5. 0x0ac7375175e96c599a27c0dc63813802194ee8805d38c405c21ee64799175f39
  6. 0x1e109657d82bc212a7fabbbf49a9c42e540f8e1932bdc167ee1ef21b5d058530
  7. 0x552cc6c442d039087fb3209f5879550b03af49262121affb365511e0bde4827d
  8. 0x130d0cefb68032507e2979c296d180560121ca1cd4343b6a773f9e4436d7a606
  9. 0x22ed3398c8d9308e0f1d512c4c9ab7ce720972c02a815b1fdf9ac1dde7a1bcd9
  10. 0xe68aab358dbe0d91ab251444cbd061c7578b2bb62363d38861b27d9ada3e4de7
  11. 0xb897c6bd1951c9789887109beda69570d08ddef8e7ba9d8afd9006cc27e9c994
  12. 0x0a872ad8d43d2248d10fbf2ab67502ff4e7270644ad7fd6db14b54bd26e5cb7a
  13. 0x2fb27956c8711909c4c9d566a96f97834f5a24bc0c69233e771cde297811d69a
  14. 0x6c979ceed347ae2f49a398afce74e46416fbc8bf2d649ac7be77ccbc81b2ba03
  15. 0x0e3f78943343406ddd3828dd4ca4b5a188e80ffe3ac87d64d979448ee11c1cc5
  16. 0x00ec7149eb024693951d82cb635dfa183f4f34dae011e77ba0420a38a378e0aa
  17. 0x97f6f39e601b6ef0e47b730aa0488b718c0d7882ad840342bbd7d3a705a1b3a2
  18. 0x1973893697931b7512ae5dc1a3c92ef92f633ae3574dce9029a35b5e94d2d364
  19. 0x3315fd2757fdd435852cc277377234a3f3909a6d2a089d0e36f6d59aacfda910
Day root
0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3
Chained
0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4
Published
On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90

How to check it · This row as JSON