addrbookFor publishers
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Evidence row 1487450

Observed , by sync.mcp_registry/1.

Kind
listing
About
source_record mcp_registry:io.github.Pangolin-spg/pangolinfo-review-mining-mcp
Recorded
Previous row
#30361
Body SHA-256
f8062dd74031cd56470ce9492269005971d64defec27af205881e6f33e8cbdbc
Leaf
0xae3549383516de73dc5eb18087fd85538f6bd9d3288a37ae1f152a20a9c79164

What was observed

{
  "endpoints": [
    [
      "web",
      "https://www.pangolinfo.com/amazon-review-api/?utm_source=mcp-registry&utm_medium=referral"
    ]
  ],
  "name": "Pangolinfo Review Mining MCP",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-31T13:12:25.102516Z",
        "status": "active",
        "statusChangedAt": "2026-10-31T13:12:25.102516Z",
        "updatedAt": "2026-10-31T13:12:25.102516Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Amazon review mining for AI agents — complaint detection, sentiment trends, complaint topics.",
      "name": "io.github.Pangolin-spg/pangolinfo-review-mining-mcp",
      "packages": [
        {
          "environmentVariables": [
            {
              "description": "Your Pangolinfo API key for live Amazon review data (required for live tool calls; the server starts without it)",
              "isSecret": true,
              "name": "PANGOLINFO_API_KEY"
            }
          ],
          "identifier": "pangolinfo-review-mining-mcp",
          "registryType": "npm",
          "transport": {
            "type": "stdio"
          },
          "version": "0.1.2"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/Pangolin-spg/pangolinfo-review-mining-mcp"
      },
      "title": "Pangolinfo Review Mining MCP",
      "version": "0.1.2",
      "websiteUrl": "https://www.pangolinfo.com/amazon-review-api/?utm_source=mcp-registry&utm_medium=referral"
    }
  },
  "source": "mcp_registry",
  "summary": "Amazon review mining for AI agents — complaint detection, sentiment trends, complaint topics."
}

What the leaf hashes

{"body":"f8062dd74031cd56470ce9492269005971d64defec27af205881e6f33e8cbdbc","id":1487450,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793452567929992,"prev":30361,"subject":"mcp_registry:io.github.Pangolin-spg/pangolinfo-review-mining-mcp","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (246033 rows).

  1. 0xae3528058842297a8969b7b1d177f4102fdcb22284842b287c872e29ff9c1d8d
  2. 0xad1c0d7579fe98c228653aa2a48454f7d92b8d4d6e494874c996c698ec32c47d
  3. 0x8faf32a8f35debc97eecc4d69a8b10a9cc7d98bce044c817d75c702edf7a0d63
  4. 0x0ad1f787c90ab37ddde2e9452004add36c7edf4a43df3e00c697ef33e3072bb0
  5. 0xc31467d92d8a6d8a7c55122d693f556a378a0f4be73cd0b5003457296ff6bcc4
  6. 0x42a28c0d0955469e4ee55174a23fbe195e41fc304a62a2eac509ba45084ad2ab
  7. 0xd672310b218033d1b2d26255c3f6b63932e65a4d3db99a4326b10d76a1719e91
  8. 0xbef58a833e00c7c417fc78622a3e920803b68b310627761599257ab759538f10
  9. 0xe982ac60b41dcd59d1d530e0b72fd26547c4ce3d9d35a589bd51a22d08650d7a
  10. 0xa9501ca87fcf858180f8dc1df7cdfae5b13f3f024e44218dfc1b9d3672115bb4
  11. 0x514499a2e09619b86e7ed1db689750d97d3f8424cdd40c78bcb8597fc36a394c
  12. 0x34ebe35e665c8ad4cfee030a83512f81e33c32db411169ebb250ec39780fa4c8
  13. 0x0b806489de9a06dcb3c577117e5b9b04eba4220a7b621a2fa8d84dafcbb2eb4e
  14. 0x17b4d08af91ab833713ac6154ec68f498dbe032401780285c2ccdadad6ac27f1
  15. 0x57afe240b626bf60f6af8c76404811e95ea5519f217fac382bd159177a8ec870
  16. 0x2e1cd25ce4079da9bfa6219d7ffec992149add4cd7d5c5b2cfee9908c1c8a5dd
  17. 0x50003b3c3045b653f8be4232e95e80582cf5c54c14c509ba0a9a197b9e5005cb
  18. 0x0504a25438f3c7932125463198ca74c5064f23f71a5c92763b3fc96a98cc8b57
Day root
0x24463725d1c0d9894bd6123691d532547aaa79f0762c0e45aa6a68acf1fd71ab
Chained
0x7d4824ff313dee7252a46f9d5c37b452851deb6c9f24a40c2f74ee0e53c82980
Published
On Arc Testnet, block 70093156: 0xedb7b832f4ebf6781b5ecd2ed241c435b862f4d3761541fa31adc1831b8c44a0

How to check it · This row as JSON