cross format record crosscheck derived

{
  "input": {
    "body": {
      "avro": {
        "name": "Order",
        "type": "record",
        "fields": [
          {
            "name": "order_id",
            "type": "string"
          },
          {
            "name": "total_cents",
            "type": "long"
          },
          {
            "name": "status",
            "type": {
              "name": "Status",
              "type": "enum",
              "symbols": [
                "OPEN",
                "CLOSED"
              ]
            }
          },
          {
            "name": "note",
            "type": [
              "null",
              "string"
            ],
            "default": null
          }
        ],
        "namespace": "shop.v1"
      },
      "graphql": "type Query {\n  order(id: ID!): Order\n  orders(first: Int = 20): [Order!]!\n}\n\ntype Mutation {\n  createOrder(input: OrderInput!): Order!\n}\n\nenum Status { OPEN CLOSED }\n\ninput OrderInput {\n  status: Status\n  note: String\n}\n\ntype Order {\n  id: ID!\n  status: Status!\n  totalCents: Int!\n  note: String\n}\n",
      "protobuf": "syntax = \"proto3\";\npackage shop.v1;\n\nenum Status {\n  STATUS_UNSPECIFIED = 0;\n  OPEN = 1;\n  CLOSED = 2;\n}\n\nmessage Order {\n  string order_id = 1;\n  int64 total_cents = 2;\n  Status status = 3;\n  repeated string tags = 4;\n  string note = 5;\n}\n",
      "record_name": "Order"
    },
    "type": "http",
    "method": "POST",
    "bodyType": "json"
  },
  "output": {
    "type": "json",
    "example": {
      "limits": {
        "maxFindings": 500,
        "maxSdlBytes": 262144,
        "maxVersions": 25,
        "maxAvroBytes": 262144,
        "maxConsumers": 50,
        "maxProtoBytes": 262144,
        "maxPathsPerConsumer": 200
      },
      "passed": false,
      "complete": false,
      "findings": [
        {
          "code": "FIELD_ABSENT_FROM_FORMAT",
          "field": "id",
          "detail": "id is declared in graphql and not in avro or protobuf, so the two representations of the same record do not carry the same data."
        },
        {
          "code": "FIELD_ABSENT_FROM_FORMAT",
          "field": "order_id",
          "detail": "order_id is declared in avro and protobuf and not in graphql, so the two representations of the same record do not carry the same data."
        },
        {
          "code": "OPTIONALITY_DISAGREES",
          "field": "status",
          "detail": "status is required in avro and optional in protobuf, so one side accepts a record the other rejects."
        }
      ],
      "consistent": false,
      "request_id": "example-request",
      "service_id": "cross_format_record_crosscheck",
      "assumptions": [
        "Field names are compared with case and underscores set aside, because snake_case in protobuf and camelCase in GraphQL is the convention rather than a disagreement. The convention difference is noted i...",
        "Types are compared by class - integer, binary float, text, binary, boolean, enum, named - rather than by exact type, because int64 and Int are the same intent while double and a decimal are not.",
        "Optionality in proto3 is read from the schema as written: a singular field has implicit presence and is reported as optional, which is a real difference from a GraphQL non-null field and not an artefa..."
      ],
      "limitations": [
        "One record in each supplied document. Nested records are not followed, so a disagreement inside a nested type is outside this.",
        "consistent is true only when every supplied document was compared and the fields agreed on presence, class, repeatedness, optionality and enum symbols."
      ],
      "observed_at": "2026-10-02T00:00:00.000Z",
      "field_counts": [
        {
          "fields": 4,
          "format": "avro"
        },
        {
          "fields": 5,
          "format": "protobuf"
        },
        {
          "fields": 4,
          "format": "graphql"
        }
      ],
      "not_examined": [
        "NAMING_CONVENTIONS_DIFFER: The documents use different field naming conventions (camelCase and snake_case), which is normal across these formats. Names are therefore compared with case and underscores..."
      ],
      "record_names": [
        {
          "name": "shop.v1.Order",
          "format": "avro"
        },
        {
          "name": "shop.v1.Order",
          "format": "protobuf"
        },
        {
          "name": "Order",
          "format": "graphql"
        }
      ],
      "finding_count": 6,
      "service_version": "1.0.0",
      "findings_by_code": {
        "ENUM_SYMBOLS_DISAGREE": 1,
        "OPTIONALITY_DISAGREES": 2,
        "FIELD_ABSENT_FROM_FORMAT": 3
      },
      "formats_compared": [
        "avro",
        "protobuf",
        "graphql"
      ],
      "distinct_field_count": 6
    }
  }
}