Create data sources, load data, build metrics, and automate workflows directly from your terminal. Use 90+ commands yourself, or let AI coding agents like Claude Code, Cursor, and Codex do the work with 10 ready-to-use agent skills.
I’m Tadej from Databox. Today we’re launching Databox CLI, bringing Databox directly into your terminal.
For most people, Databox lives in a browser tab. You log in, check dashboards, and manage your analytics in the app. Meanwhile, teams increasingly use scripts, data pipelines, CI jobs, and AI coding agents to move data between systems, configure tools, and automate repetitive tasks.
Until now, bringing Databox into those workflows meant working directly with our API, writing and maintaining custom code, handling authentication, retries, and errors, and checking that everything worked as expected.
This is exactly the kind of friction we want to remove as part of our broader vision to open up the Databox platform, making it easier for people and AI agents to work with Databox through the tools they already use.
That's why we built Databox CLI. It brings the capabilities of our public API directly into your terminal, so you can build dashboards and metrics, manage your data, and automate repetitive tasks in Databox using simple commands.
Here’s what you can do with it:
Create datasets with defined schemas: set column types and primary keys, and validate records before they’re ingested.
Bring in data from anywhere: Load JSON data from files, scripts, or directly from pipelines. For example: curl -s https://api.internal/export | databox dataset ingest DATASET_ID
Verify every ingestion: Confirm that your data arrived successfully and see exactly what went wrong if it didn't.
Build metrics: Create metrics on top of your datasets and trace where the data comes from.
Manage your Databox account: Work with users, permissions, databoards, and connections.
That's 91 commands across 14 areas, with a 1:1 match to the Databox public API.
And you can let AI coding agents do the work for you, too.
Databox CLI comes with 10 ready-to-use agent skills for Claude Code, Cursor, Codex, and other compatible coding agents. You can ask your agent to set up a dataset, load data, verify the results, and build metrics, and it can execute those steps for you.
We've also built in safeguards for reliable automation. Commands support structured JSON output with --json, clear exit codes, and errors that explain what went wrong. Idempotency keys make retries safe, and destructive actions require an explicit --force flag.
Want to try it?
Getting started takes three commands:
npm install -g databox-cli
databox auth login
databox account list
To add the agent skills: npx skills add databox/databox-cli --skill '*'
I’ll be here in the comments all day. I'd love to hear what you'd build or automate with Databox CLI. Share your use case, and I'll help you figure out the commands to make it happen. 🙏
About Databox CLI on Product Hunt
“Your agentic analytics platform in the terminal”
Databox CLI launched on Product Hunt on November 9th, 2026 and earned 297 upvotes and 49 comments, earning #3 Product of the Day. Create data sources, load data, build metrics, and automate workflows directly from your terminal. Use 90+ commands yourself, or let AI coding agents like Claude Code, Cursor, and Codex do the work with 10 ready-to-use agent skills.
On the analytics side, Databox CLI competes within Productivity, SaaS, Developer Tools and GitHub — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how Databox CLI performed against the three products that launched closest to it on the same day.
Who hunted Databox CLI?
Databox CLI was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Rohan Chaubey
Hi Product Hunt! 👋
I’m Tadej from Databox. Today we’re launching Databox CLI, bringing Databox directly into your terminal.
For most people, Databox lives in a browser tab. You log in, check dashboards, and manage your analytics in the app. Meanwhile, teams increasingly use scripts, data pipelines, CI jobs, and AI coding agents to move data between systems, configure tools, and automate repetitive tasks.
Until now, bringing Databox into those workflows meant working directly with our API, writing and maintaining custom code, handling authentication, retries, and errors, and checking that everything worked as expected.
This is exactly the kind of friction we want to remove as part of our broader vision to open up the Databox platform, making it easier for people and AI agents to work with Databox through the tools they already use.
That's why we built Databox CLI. It brings the capabilities of our public API directly into your terminal, so you can build dashboards and metrics, manage your data, and automate repetitive tasks in Databox using simple commands.
Here’s what you can do with it:
Create datasets with defined schemas: set column types and primary keys, and validate records before they’re ingested.
Bring in data from anywhere: Load JSON data from files, scripts, or directly from pipelines. For example: curl -s https://api.internal/export | databox dataset ingest DATASET_ID
Verify every ingestion: Confirm that your data arrived successfully and see exactly what went wrong if it didn't.
Build metrics: Create metrics on top of your datasets and trace where the data comes from.
Manage your Databox account: Work with users, permissions, databoards, and connections.
That's 91 commands across 14 areas, with a 1:1 match to the Databox public API.
And you can let AI coding agents do the work for you, too.
Databox CLI comes with 10 ready-to-use agent skills for Claude Code, Cursor, Codex, and other compatible coding agents. You can ask your agent to set up a dataset, load data, verify the results, and build metrics, and it can execute those steps for you.
We've also built in safeguards for reliable automation. Commands support structured JSON output with --json, clear exit codes, and errors that explain what went wrong. Idempotency keys make retries safe, and destructive actions require an explicit --force flag.
Want to try it?
Getting started takes three commands:
npm install -g databox-cli
databox auth login
databox account list
To add the agent skills: npx skills add databox/databox-cli --skill '*'
Databox CLI is available on all Databox plans and is open source under the MIT license.: github.com/databox/databox-cli, available as a node npm package https://www.npmjs.com/package/databox-cli.
I’ll be here in the comments all day. I'd love to hear what you'd build or automate with Databox CLI. Share your use case, and I'll help you figure out the commands to make it happen. 🙏