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Evidence row 48543

Observed , by baseline/1.

Kind
listing
About
source_record mcp_registry:io.github.ribato22/baton
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
c16ea87d1ce019597032e4f6f174b88d9d500870c99bf7a0f1c25fb124870e99
Leaf
0x242ff4a0566a9e560b5f4251e309ff417f28afb91bf0376035f46b517d258ca9

What was observed

{
  "endpoints": [],
  "name": "Baton",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-07-24T02:13:44.819726Z",
        "status": "deprecated",
        "statusChangedAt": "2026-07-27T14:33:38.384926Z",
        "statusMessage": "Renamed to Volante; use io.github.ribato22/volante (PyPI: volante).",
        "updatedAt": "2026-07-27T14:33:38.384926Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Multi-model AI orchestration: plan a task DAG, route each task to the best capable model.",
      "name": "io.github.ribato22/baton",
      "packages": [
        {
          "environmentVariables": [
            {
              "description": "Set to 1 to use your Claude Code subscription CLI (claude -p) as a provider.",
              "name": "CLAUDE_CODE_ENABLED"
            },
            {
              "description": "Set to 1 to use your Codex CLI (codex exec) as a provider.",
              "name": "CODEX_ENABLED"
            },
            {
              "description": "Card-billed Anthropic API key (optional; alternative/addition to the subscription CLIs).",
              "isSecret": true,
              "name": "ANTHROPIC_API_KEY"
            },
            {
              "description": "Any OpenAI-compatible endpoint (Gemini / Groq / OpenRouter / DeepSeek / Ollama).",
              "name": "OPENAI_COMPAT_BASE_URL"
            }
          ],
          "identifier": "baton-orchestrator",
          "registryBaseUrl": "https://pypi.org",
          "registryType": "pypi",
          "runtimeArguments": [
            {
              "name": "--from",
              "type": "named",
              "value": "baton-orchestrator[mcp]"
            },
            {
              "type": "positional",
              "value": "baton-mcp"
            }
          ],
          "runtimeHint": "uvx",
          "transport": {
            "type": "stdio"
          },
          "version": "0.2.1"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/ribato22/baton"
      },
      "title": "Baton",
      "version": "0.2.1"
    }
  },
  "source": "mcp_registry",
  "summary": "Multi-model AI orchestration: plan a task DAG, route each task to the best capable model."
}

What the leaf hashes

{"body":"c16ea87d1ce019597032e4f6f174b88d9d500870c99bf7a0f1c25fb124870e99","id":48543,"kind":"listing","method":"baseline/1","observed_us":1793025411899559,"prev":null,"subject":"mcp_registry:io.github.ribato22/baton","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. 0x242fc88e1fcf87a08b3fe3bd71c47f934d22a56dd5a20f63c73cf5c3fe00fe15
  2. 0x94d02622050d3fcbdf85f2fc020a14422fc6911b4ff9093c5bdc7c80377391d2
  3. 0xd39a42e06d43fcbd5246ea899bbebf287ee371dde9425415c486879acb16dc4f
  4. 0x5cf28a37f4561b2454009b97de208a2144ffb0728b91aedc5a197629836042bb
  5. 0x6f24bc5e462e7199aca81e8cfd40c3f870b38254bff4031a5ddb95ce35af6f26
  6. 0xd555bb35f9e041a493d6146cc644d741bef53ae2da3d1b647788ce7376f1ff18
  7. 0x4b6af88dac804049ec8cf26b41d9a9f767720a53a3524ce8f8bc9e7ac37fd3ea
  8. 0x978958531254a4298420ec55c84a3366d31c07f117caa7fec6c225211ec5562f
  9. 0x3bfb38f380d8dbf47928cadc45d6bd11b5134668387e8c5f016472eb81ece3f9
  10. 0x2a32852d08f3dbad9d322dd91bc905c97a70f059d4f616e591b3fe5721ef2000
  11. 0x395ecef2713b13f9a2a88fe836fbc1a4e94906043e3938cd3fd16627be6b95de
  12. 0x2ceb9cc3a43f479e6ab73db5d3d474a93995fb4188ee45f71846b4cf537a0016
  13. 0x830b2c874449c7499489eba2baa67d49f991298225763c0161b471621038d0fb
  14. 0xd843afcced75dedd39194ff9bd12326b88099e6112686db2299392d022dc3146
  15. 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
  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