AgentLock VS DUMMY DATABASE

AgentLock's answer

AgentLock sits between the agent and the outside world instead of trusting the agent to behave. Every HTTP call, MCP tool call, browser action or SSH command becomes a request that a policy decides on, and anything sensitive waits for a human approval that arrives on the phone. Credentials live in the vault and are injected only at execution time, so an agent can use a key without ever seeing it - and if nobody approves in time, the action simply does not happen.

DUMMY DATABASE's answer:

A free, all-in-one data generation platform that builds everything from simple tables to full relational databases with advanced controls, unique event sequences, ERD visualization, built-in SQL querying, and multiple export formats — no limits, no paywalls.

AgentLock's answer

A secrets manager stores keys, but once an agent holds one, nothing stops it from making the wrong call. AgentLock covers both halves: the encrypted vault plus a gateway with policies, human approval, automatic redaction, a full timeline and undo for supported actions. It is available as an MCP server and an SDK, so an existing agent can be routed through it without a rewrite, and the free plan already covers 100 actions a month with one agent.

DUMMY DATABASE's answer:

Unlike other data generators, DUMMY DATABASE gives you full relational database creation, unique event simulations, advanced control over every field, built-in SQL querying, and generous free limits — so you can go from idea to test-ready data without restrictions, subscriptions, or hidden fees

AgentLock's answer

Developers who run autonomous agents against real systems - deployments, payments, mail, customer data - and want an audit trail and a stop button instead of hoping the prompt holds. Small teams also use it to let an agent work with shared credentials without handing the keys to every team member or to the model itself.

DUMMY DATABASE's answer:

• Developers needing dummy databases for prototyping & testing.
• Analysts and BI specialists preparing demo dashboards.
• QA engineers creating data scenarios for testing.
• SQL learners who want practice datasets on demand.

DUMMY DATABASE's answer:

Began as a project for myself to be able to have custom datasets for testing purpose I've decided that it could be useful for wider audience and finalized it as a full-stack web project

AgentLock's answer

TypeScript across the stack: a React dashboard on Vercel, Supabase with Postgres, Auth and Edge Functions for data, policies and the encrypted vault, a self-hosted runner for actions that need a private network, React Native for the iOS and Android approval app, and Stripe for billing.

DUMMY DATABASE's answer:

Python, Flask, HTML, CSS, Bootstrap, Redis, PostgreSQL, JavaScript