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Mock Data Generator

Define columns and types, generate realistic fake data as SQL INSERT statements, CSV, or JSON.

Columns
Output
CREATE TABLE users (
  id SERIAL PRIMARY KEY,
  name TEXT,
  email TEXT,
  active BOOLEAN,
  created_at TIMESTAMPTZ
);

INSERT INTO users (id, name, email, active, created_at) VALUES (1, 'Ivy Hernandez', 'grace418@test.org', FALSE, '2024-03-25T21:16:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (2, 'Rosa Johnson', 'jack875@mail.com', TRUE, '2021-07-26T07:15:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (3, 'Eve Rodriguez', 'ivy268@example.com', TRUE, '2021-10-21T12:59:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (4, 'Alice Miller', 'eve93@mail.com', TRUE, '2024-10-19T01:00:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (5, 'Frank Hernandez', 'eve234@example.com', TRUE, '2023-07-11T21:54:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (6, 'Diana Lopez', 'frank451@mail.com', TRUE, '2020-02-20T22:48:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (7, 'Grace Miller', 'tara167@corp.net', TRUE, '2023-02-26T15:56:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (8, 'Noah Johnson', 'leo349@test.org', TRUE, '2023-11-15T03:26:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (9, 'Frank Lopez', 'olivia999@corp.net', FALSE, '2023-06-03T17:21:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (10, 'Eve Rodriguez', 'karen743@mail.com', FALSE, '2020-04-11T06:42:00Z');

Database Access

Give Your AI Agents
Database Access. Securely.

Connect any database. Control permissions. Audit every query. All running locally on your machine.