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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, 'Hank Smith', 'hank268@test.org', FALSE, '2022-07-11T13:19:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (2, 'Mia Johnson', 'karen212@demo.io', FALSE, '2024-06-12T17:52:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (3, 'Quinn Anderson', 'karen132@corp.net', TRUE, '2024-03-13T07:40:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (4, 'Eve Hernandez', 'rosa831@demo.io', FALSE, '2023-10-26T14:42:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (5, 'Karen Brown', 'alice745@mail.com', FALSE, '2023-12-19T03:41:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (6, 'Jack Wilson', 'rosa823@corp.net', FALSE, '2023-08-05T23:34:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (7, 'Eve Hernandez', 'hank197@mail.com', FALSE, '2021-01-28T21:44:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (8, 'Grace Martinez', 'charlie636@test.org', TRUE, '2025-08-15T02:13:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (9, 'Frank Johnson', 'tara707@example.com', FALSE, '2024-12-17T23:56:00Z');
INSERT INTO users (id, name, email, active, created_at) VALUES (10, 'Mia Gonzalez', 'sam952@mail.com', TRUE, '2024-09-18T11:54:00Z');

Database Access

Give Your AI Agents
Database Access. Securely.

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