Most data work isn t analysis. It s setup and upkeep.
Creating a data source for a new client. Pushing rows from an internal tool. Building the same custom metric for the fifth account in a row. Checking why last night s ingestion failed. Updating permissions when someone leaves the team.
All of it lives behind clicks. So it doesn t run in CI, it doesn t run on a schedule, and your AI agent can t touch it.
That s why we built Databox CLI - launching on Product Hunt on November 6. It puts the Databox API in your terminal: data sources, datasets, data ingestion, custom metrics, databoards, users and client accounts. One install, JSON or CSV output, clear exit codes for scripts. It also ships with agent skills, so Claude Code (or any agent that runs shell commands) can manage your Databox setup for you.
Hi Tracy, thank you so much for this!
You're right that reports aren't the goal. What matters is what you do with the numbers. That's exactly why we built the AI Analyst: ask a question and get an answer you can act on, without digging through dashboards.
Glad the MCP clicked for you too. Being able to bring accurate Databox data into Claude or any other AI tool is a big part of where we're headed.
If you have ideas for what we should build next, I'd love to hear them. Thanks again for the support!