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Evidence row 259131

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 5e515f99-1a88-4e54-9488-89364bb411e3
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
64fdc1f94ab9d42d41496f45e9ebc3d131db0bfa0a469d66b93bd2201be41753
Leaf
0x76baa9618edf7373cde712f00a8d0bb89038b325f4239e25fbfa470ce4d9057e

What was observed

{
  "count": 6,
  "tools": [
    {
      "description": "Create a new, empty SeedBase project. Use import_schema afterwards to add the schema.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "db_type": {
            "description": "Target database type (default: postgresql)",
            "enum": [
              "postgresql",
              "mysql",
              "sqlite",
              "mssql"
            ],
            "type": "string"
          },
          "name": {
            "description": "Project name",
            "type": "string"
          }
        },
        "required": [
          "name"
        ],
        "type": "object"
      },
      "name": "create_project"
    },
    {
      "description": "Fetch a previously started generation by id: returns its status, and the SQL INSERT statements once completed. Use this when generate_test_data reported the generation as still running.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "generation_id": {
            "description": "The generation id (UUID) reported by generate_test_data",
            "type": "string"
          }
        },
        "required": [
          "generation_id"
        ],
        "type": "object"
      },
      "name": "fetch_generation"
    },
    {
      "description": "Generate a fresh synthetic dataset for a project and return it as SQL INSERT statements. Optionally set rows per table. The data is foreign-key consistent.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "project": {
            "description": "Project id (UUID) or project name",
            "type": "string"
          },
          "rows": {
            "description": "Rows per table (optional; plan limits apply)",
            "minimum": 1,
            "type": "integer"
          },
          "seed": {
            "description": "Seed for deterministic output (optional)",
            "type": "integer"
          }
        },
        "required": [
          "project"
        ],
        "type": "object"
      },
      "name": "generate_test_data"
    },
    {
      "description": "Get a project's schema as CREATE TABLE statements. Accepts a project id or name and an optional SQL dialect (postgresql, mysql, sqlite, mssql).",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dialect": {
            "description": "SQL dialect for the DDL (default: the project's database type)",
            "enum": [
              "postgresql",
              "mysql",
              "sqlite",
              "mssql"
            ],
            "type": "string"
          },
          "project": {
            "description": "Project id (UUID) or project name",
            "type": "string"
          }
        },
        "required": [
          "project"
        ],
        "type": "object"
      },
      "name": "get_ddl"
    },
    {
      "description": "Import a database schema into a project from pasted content: SQL DDL (CREATE TABLE …, raw pg_dump/mysqldump schema output works), SQL INSERT dumps, CSV/TSV, JSON, or ORM model code (Django, Prisma, SQLAlchemy, …). Replaces the project's current schema.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "content": {
            "description": "The schema source text (e.g. the DDL)",
            "type": "string"
          },
          "format": {
            "description": "Optional hint: sql, csv, tsv, json, or an ORM name (django, prisma, sqlalchemy, …). Auto-detected when omitted.",
            "type": "string"
          },
          "project": {
            "description": "Project id (UUID) or project name",
            "type": "string"
          }
        },
        "required": [
          "project",
          "content"
        ],
        "type": "object"
      },
      "name": "import_schema"
    },
    {
      "description": "List your SeedBase projects (id, name, database type). Use this first to find the project to work with.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "list_projects"
    }
  ]
}

What the leaf hashes

{"body":"64fdc1f94ab9d42d41496f45e9ebc3d131db0bfa0a469d66b93bd2201be41753","id":259131,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793030646891989,"prev":null,"subject":"5e515f99-1a88-4e54-9488-89364bb411e3","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0x76ba9e90dc64ab4964383025d561e0d2c5a3c36174d794c4e48bdb58047eb857
  2. 0x36df49a9ff3bd3373ec3236fba1a3802c906794fda57dd577f21d5f31fcf713c
  3. 0x8bc6a2ca1f12e267a09d274f46d33063afd1624a639b4fb31f6e943cf7391752
  4. 0x7d9d2530c2950c65cc0ad57288127d4e12b9ec231e3fd28f921302b5804b0511
  5. 0x3bdb96ceac6c27997f189c2345aa93c3797700275ebff808f1013b1f1777a0ab
  6. 0x6b8cdd0ca70c86969e87ff556034cf6b47ff464b8d448bca7d62ba9d45cb1e15
  7. 0x1cf7e42aa3761b4aae6c3a636acd417a54345fb8785272447c1428a663946fef
  8. 0x42eacf0c2f1325762511e2e4ab7fa6146cbe416b7b2bedc564922527062cf628
  9. 0x12a8628644add05d9c2cce99c77be571b84868246cc33afc7daf5d11fe55b57e
  10. 0xf99eec69e7b273c29cfbdaac6b9d0d445684d8769e059a72e77ed52679165ecc
  11. 0x2b0f6f9a9d5201404fd0cd99316c4ea1c2b3853278de26cb244fc2433c8b6831
  12. 0x8fdfac9874f184de58b63efbdab0fc27674958d741146d02f58b04d3c559cabf
  13. 0xdef3cab0b4070d8ad7f4f91288da4881d19789f131b1b353621df79df04a0617
  14. 0xc4fe2177880ea1b0e82b6fe4c270090fd0fbe5af3a42a8cbf6a6ba2fa35625f6
  15. 0x15039087bf60ae9b06b756ec3cbc299760e59923a438bbd91e34d105186db0ed
  16. 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON