Is iDBQuery an AI agent?

It's fair to call iDBQuery agentic, but "an AI agent" undersells what it is.

At the everyday level, iDBQuery is a conversational data-intelligence platform: you ask a question in plain language, and it writes the SQL, runs it against one live model of your connected sources, and returns a cited answer — a number, chart, table or live dashboard. That interaction is fast and direct; it isn't a long-running agent chewing on a task.

On top of that, iDBQuery has a genuine autonomous Analyst agent. Give it an open-ended question and it can investigate on its own — forming hypotheses, deciding what to query, running multiple steps, and reporting back with findings. That's agent behaviour in the real sense: planning and acting toward a goal, not just answering a single prompt.

So the accurate framing is:

• Not a generic chatbot agent that talks about your data from memory.
• Yes to an agent capability — the Analyst — that does multi-step investigation grounded in your actual data.
• More than an agent overall: it's a platform that also connects your sources into one live model, builds reports and dashboards, understands cryptic schemas via a semantic layer, and deploys in the cloud, your VPC or fully air-gapped.

The throughline is trust. Whether you're getting a quick answer or an agent-run investigation, every figure is cited back to its exact source rows — so the intelligence, agentic or not, is always verifiable rather than a black box.