SQL Mocker
Terms of Service
These terms explain the basic rules for using SQL Mocker. They are a practical product draft and should be reviewed by a qualified legal adviser before public launch.
AI-Assisted Output
SQL Mocker uses artificial intelligence to generate SQL, explanations, sample data, query results, schema suggestions, and troubleshooting guidance. AI-assisted output may be incorrect, incomplete, outdated, unsuitable for your database, or inconsistent with your organisation's requirements.
Your Responsibility
You are responsible for reviewing, testing, validating, and approving any SQL, generated results, explanations, or recommendations before using them in a real database, production workflow, report, business process, or decision. You should test generated SQL in a safe environment before relying on it.
No Professional Advice
SQL Mocker does not provide legal, financial, accounting, operational, compliance, security, or other professional advice. Generated SQL and explanations are provided for assistance only and should not replace professional judgement or internal review.
Database Safety
SQL Mocker is designed to work from schema metadata and sample context. Do not upload secrets, passwords, connection strings, sensitive production data, or confidential information that you are not authorised to use with the service.
No Warranties
SQL Mocker is provided on an "as is" and "as available" basis. We do not guarantee that generated SQL will be accurate, safe, complete, compatible with your database dialect, or suitable for any particular purpose.
Limitation of Liability
To the fullest extent permitted by law, SQL Mocker will not be liable for business losses, lost profits, lost data, inaccurate reports, incorrect decisions, database changes, downtime, or indirect, incidental, special, consequential, or punitive damages arising from use of the service or reliance on generated output.
Your Organisation's Rules
You are responsible for ensuring your use of SQL Mocker complies with your employer's policies, data governance requirements, security rules, and applicable laws.