{
  "contract": "sourcey.site-record/v1alpha1",
  "release_id": "sha256:e2a39b9c9cf695cfae50fad1a3a2db139f2da64bf9ccb520a4b7e237ea723361",
  "snapshot_id": "sha256:956f3f721aa7ed9cc28262ca9f8dc27dee51f33f5918cd1c2b5335ad4b74bf05",
  "artifact_sha256": "sha256:2bc04673042169fc8af74e2d3196d082885636ba9084c2643f21f9418ddbdbf5",
  "data": {
    "revision_contract": "sourcey.entity-revision/v1alpha1",
    "entity_id": "ent_01k0000000000000000000000f",
    "content": {
      "name": "Seabright",
      "description": "Evaluation infrastructure for AI products: golden sets, regression gates, drift alarms.",
      "domains": [
        {
          "value": "seabright.example",
          "role": "primary",
          "valid_from": "2026-01-01T00:00:00Z"
        }
      ],
      "category": "ai-ml",
      "links": {
        "site": "https://seabright.example"
      }
    },
    "revision_digest": "sha256:ccdb444a3bdd0a650fe655de39075c6c11f60f5ea2806bd501c210abdff26bef"
  }
}