Databox

Agentic analytics platform for you and your agents.

4.8•12 reviews•

2.9K followers

Agentic analytics platform for you and your agents.

4.8•12 reviews•

2.9K followers

Visit website

Data visualization tools

•

Business intelligence software

•

AI Workflow Automation

Databox is an agentic analytics platform that brings performance data from across your business together with consistent metrics and business context. Ask its AI Analyst questions about your business, use Routines to surface important changes automatically, and turn insights into reports that explain what happened and why it matters. Databox does more of the recurring reporting and analysis, so you can understand performance faster and take better-informed action.

This is the 11th launch from Databox. View more

Databox CLI

Launched this week

Your agentic analytics platform in the terminal

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.

Free Options

Launch tags:Productivity•SaaS•Developer Tools

Launch Team / Built With

CloudflareStill paying to deploy your apps? Try Cloudflare Workers for free

Promoted

Destructive commands need --force, but whatever runs the skill can just add --force itself. Is there a way to create a key that can't delete anything?

Report

1d ago

Databox

Maker

@naw103 Fair point, Nick - --force stops accidents, not an agent that decides to delete. The real guard is the key itself. Each key acts as the user who created it, and the API checks that user’s role before anything runs. So for a key that can’t delete anything, create a separate user with the Viewer role and give the agent that user’s key. A Viewer can read data and push rows into datasets they have access to, but can’t create, change or delete data sources or datasets. The API returns forbidden and nothing changes, whatever flags the agent adds. You can also limit the key to specific IPs.

There’s no scoped key yet (e.g. read-only on one dataset), but it’s a good ask and I’ll pass it to the team.

Report

19h ago

Databox

We kept things simple and predicable.

Every CLI command maps directly to the @Databox public API. No hidden magic or extra layers of abstraction to figure out.

I think this becomes especially important when you start letting AI agents execute commands on your behalf. You want to understand exactly what is happening behind the scenes.

And since its fully open source under MIT, you can check the implementation yourself 🚀

Report

3d ago

Databox

Maker

We built this because we kept seeing agents get stuck at the same point. They could write the code, but they couldn't touch the Databox setup. With the skills, an agent can go from 'track this' to a data source, a dataset with the right schema, and data flowing in, all in one session.

Report

3d ago

I tested it on a finance monthly report we update every month from a CSV export and Excel. I asked Claude Code to set up a dataset with the right columns and load the file. With skills installed, it picked the commands, defined the schema & checked that the import went through. Next month it's the same command with a new file. Works well, great!

Report

3d ago

Databox

Maker

@tadej_kelc Love this, Tadej - that’s the workflow we had in mind. Set it up once, then it’s one command each month. One tip for recurring files: set a primary key on the dataset (--primary-key). Then if a month’s file gets re-sent or corrected, matching rows get updated instead of duplicated.

Report

3d ago

Haplo AI

This fits how I actually work — most of my data starts in a script, not a dashboard, so piping JSON straight into a dataset from a nightly job is the part that caught me. That's the first thing I'd hand over to it. With 91 commands mirroring the API, do the agent skills end up being how most people actually use it day to day, or do you still find yourself reaching for the commands directly?

Report

2d ago

Databox

Maker

@jcbuilds Both, and they split nicely. The skills shine for setup and one-off work: creating the dataset, defining the schema, building metrics, or digging into something you haven’t touched in a while. Once the pipeline is set, the nightly job itself is best as a plain command. No agent needed, same result every run.

For your case that looks like: let the agent set up the dataset once, then have the script run databox dataset ingest <id> --file output.json each night with DATABOX_API_KEY set. Two things to keep in mind: batches cap at 500 records, and adding --idempotency-key makes a rerun after a failure safe.

Report

1d ago

Awesome work, team! 11th launch in the 11th month. I'm not a big fan of angel numbers, but let this be the lucky one for you ;)

Report

3d ago

Databox

Maker

@fedulovelena Thanks Helen! We’ll take all the luck we can get. Fingers crossed the numbers are on our side today. 🍀

Report

3d ago

Mantra Timer

Nice having all the skills already built into the CLI. Best of luck with the launch today.

Report

3d ago

Databox

Maker

@codeandsea Thanks Brent! That was the goal - install the CLI, add the skills, and your agent is ready to work with your Databox data. No extra setup or wiring needed. Appreciate the support today!

Report

3d ago

1 2 3 4

Previous Databox Launches

MCP Connectors by DataboxGive your AI Analyst context to explain performance and act

Launched on September 28th, 2026

Routines by DataboxAn AI Analyst that runs analysis and reports on a schedule

Launched on September 7th, 2026

Artifacts by DataboxAsk your AI Analyst and get back a ready-to-share report

Launched on July 27th, 2026

Skills Marketplace by DataboxReady-made AI analytics skills for your business data

Launched on June 30th, 2026

View all Databox launches

Forum Threads

p/databox

•

3d ago

We just launched Databox CLI - pipe any JSON straight into Databox

https://www.producthunt.com/prod...

You have data in your own API, a script, or a nightly job. Getting it into your analytics tool usually means a CSV export, a manual upload, or a custom integration someone has to maintain.

We just made that one command.

Databox CLI brings Databox into your terminal. If it prints JSON, you can pipe it straight into a Databox dataset. You get a clear result back every time: how many rows came in, what was added, what was updated, and what was rejected.

p/databox

•

4mo ago

I've analyzed all 2026 PH launches to find the best day to launch.

Wanted to share some data before our own launch, since this took a while to pull together and might save someone else a bad launch day pick.

We pulled every featured product across all 7 days of the week and looked at the median points needed to break the top 5 and top 10 on each day.

p/databox

•

13d ago

What’s the last analytics task you did by hand that should have been a script?

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.

View all

Previous Databox Launches

MCP Connectors by DataboxGive your AI Analyst context to explain performance and act

Launched on September 28th, 2026

Routines by DataboxAn AI Analyst that runs analysis and reports on a schedule

Launched on September 7th, 2026

Artifacts by DataboxAsk your AI Analyst and get back a ready-to-share report

Launched on July 27th, 2026

Skills Marketplace by DataboxReady-made AI analytics skills for your business data

Launched on June 30th, 2026

View all Databox launches

Forum Threads

p/databox

•

3d ago

We just launched Databox CLI - pipe any JSON straight into Databox

https://www.producthunt.com/prod...

You have data in your own API, a script, or a nightly job. Getting it into your analytics tool usually means a CSV export, a manual upload, or a custom integration someone has to maintain.

We just made that one command.

p/databox

•

4mo ago

I've analyzed all 2026 PH launches to find the best day to launch.

Wanted to share some data before our own launch, since this took a while to pull together and might save someone else a bad launch day pick.

We pulled every featured product across all 7 days of the week and looked at the median points needed to break the top 5 and top 10 on each day.

p/databox

•

13d ago

What’s the last analytics task you did by hand that should have been a script?

Most data work isn t analysis. It s setup and upkeep.

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.

View all

I build production LLM agents, and most of my week is evals, tool design and MCP integrations. Two problems kept coming back. Our agents needed reliable business data to reason over, and we needed one place to track how the agents themselves perform - eval scores, task success, latency and cost per run.

The Databox team set everything up for us. They connected our product database, Stripe and HubSpot, modeled the business metrics in the semantic layer, and created datasets for our eval results and agent traces. Our CI pipeline now pushes every eval run in through the Databox CLI, and production traces come in through the API. I didn't write any glue code.

Databox MCP is the best-designed analytics MCP I've worked with. The tools are clean, the metric definitions come with context, and our agents get consistent answers instead of guessing at raw tables. That alone cut a whole class of hallucinated numbers from our evals. A Routine compares eval pass rate, latency and cost after every model or prompt change and posts the diff to Slack, so we catch regressions before they ship. When something looks off, I ask Genie "which task types dropped in success rate since Tuesday's prompt change" and get the answer with reasoning. Eval summaries for product reviews are Artifacts Genie drafts for me.

If you run agents in production, this gives you governed data for them and visibility into them in one place.

Databox

Agentic analytics platform for you and your agents.

Agentic analytics platform for you and your agents.

Databox CLI

Previous Databox Launches

Forum Threads

We just launched Databox CLI - pipe any JSON straight into Databox

I've analyzed all 2026 PH launches to find the best day to launch.

What’s the last analytics task you did by hand that should have been a script?

Previous Databox Launches

Forum Threads

We just launched Databox CLI - pipe any JSON straight into Databox

I've analyzed all 2026 PH launches to find the best day to launch.

What’s the last analytics task you did by hand that should have been a script?

What's great

What needs improvement

vs Alternatives

What's great

What's great

What needs improvement

vs Alternatives

What's great

What needs improvement

vs Alternatives

What's great

What's great

What needs improvement

vs Alternatives