Data estate assessment

Classify each table to a cloud-neutral role, map it to this cloud's product, score it against the AI-Ready Data Framework, and flag names an agent cannot reason over.

Semantic catalogue — state unknown

The catalogue's state could not be read from this API. That is unknown, not “not configured” — do not conclude either way from this card.

Target cloudWorkload profileSample estateLoad estate JSON

The profile selects which of the framework's requirements apply — 0 for agents.

Federate or migrate — egress inputs

“Query it where it sits” does not move data at rest; it moves it at query time, and someone is billed for the bytes. Tell us where the data lives today and we will price a full scan against the published rate, and say how many scans a month make moving it cheaper.

Data sits in (source cloud)Decision horizon (months)Migration cost, excl. bytes (USD)Negotiated egress rate ($/unit)

Leave a box empty and it stays unknown — nothing here is defaulted to zero. Without the migration cost the crossover is withheld rather than guessed: on transfer alone it comes out the same for every estate, so it would be arithmetic, not analysis.

{
  "instance_id": "orders-db",
  "engine": "postgresql",
  "version": "15.4",
  "port": 5432,
  "total_size_gb": 812,
  "collected_at": "2026-09-20T09:00:00Z",
  "tables": [
    {
      "name": "customer_orders",
      "schema_name": "dbo",
      "row_count_estimate": 5000000,
      "primary_key_columns": [
        "id"
      ],
      "foreign_keys": [
        {
          "column": "cust_id",
          "references": "customers"
        }
      ],
      "columns": [
        {
          "name": "id",
          "data_type": "int"
        },
        {
          "name": "cust_id",
          "data_type": "int"
        },
        {
          "name": "c_stat_01",
          "data_type": "varchar"
        }
      ],
      "last_write_at": "2026-09-20T08:41:00Z",
      "last_write_source": "pg_stat_all_tables autovacuum/autoanalyze",
      "change_data_capture": true
    },
    {
      "name": "doc_archive",
      "schema_name": "dbo",
      "row_count_estimate": 900000,
      "primary_key_columns": [
        "id"
      ],
      "unstructured_text_columns": [
        "body"
      ],
      "columns": [
        {
          "name": "id",
          "data_type": "int"
        },
        {
          "name": "body",
          "data_type": "varchar(max)"
        }
      ]
    }
  ]
}