Evidence row 17930

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://modevc.com/api/mcp/chart-chinese-ai-models-vs-us-models"
    ],
    [
      "web",
      "https://modevc.com/charts/chinese-ai-models-vs-us-models/"
    ]
  ],
  "name": "Mode VC Chart: Chinese AI Models vs. US Models: How Close Is China?",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-18T01:43:20.468388Z",
        "status": "active",
        "statusChangedAt": "2026-10-18T01:43:20.468388Z",
        "updatedAt": "2026-10-18T01:43:20.468388Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "qwen3.8-max trails claude-fable-5.1-max by 27 points. Over the past year the gap has stayed.",
      "name": "com.modevc/chart-chinese-ai-models-vs-us-models",
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://modevc.com/api/mcp/chart-chinese-ai-models-vs-us-models"
        }
      ],
      "title": "Mode VC Chart: Chinese AI Models vs. US Models: How Close Is China?",
      "version": "2.0.2",
      "websiteUrl": "https://modevc.com/charts/chinese-ai-models-vs-us-models/"
    }
  },
  "source": "mcp_registry",
  "summary": "qwen3.8-max trails claude-fable-5.1-max by 27 points. Over the past year the gap has stayed."
}

What the leaf hashes

{"body":"bdab51a25ce74f217ea2c052d0a96c5749792dfe5221bd0ca6f964a1d6f4f56b","id":17930,"kind":"listing","method":"baseline/1","observed_us":1793025328160811,"prev":null,"subject":"mcp_registry:com.modevc/chart-chinese-ai-models-vs-us-models","subject_kind":"source_record"}

Proof

Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.