Databox is an AI-powered business intelligence and analytics platform for teams that need clear, trusted answers fast. It offers the best of BI, without the complicated setup, steep price, or long learning curve. It provides a blend of powerful, but easy-to-use, features, from preparing datasets and creating the custom metrics your company needs to track, to building beautiful dashboards, customizing your reporting, and receiving AI-powered insights.
This is the 7th launch from Databox. View more
Skills Marketplace by Databox
Launched this week
A library of ready-made skills for paid ads, website performance, ecommerce, revenue, and more. Each skill pulls from your live performance data and returns a finished, shareable report in under a minute. Run them in Claude when you want answers in chat, or schedule them in n8n to land in Slack or email automatically. Free to download.
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Launch Team / Built With
Skybridge
That sounds like a product I could definitely use. Can these skills work with other AI tools besides Claude, or is it Claude-only for now?
Databox
@cyrille_huteau Claude is the starting point, but the skill file format is portable by design. ChatGPT and Gemini support are on the roadmap, and because the data layer runs through Databox MCP rather than being baked into any one AI tool, adding a new client is more about compatibility than rebuilding from scratch. So Claude-first for now, but not Claude-only for long.
Databox
@harrish_ganapathy1 Yes - most skills include a "what to do next" section as part of the output, not just a summary of what happened. The framing varies by skill, a paid ads skill might flag budget reallocation opportunities, an SEO skill might surface which pages have the highest CTR upside, but the intent across all of them is to get you to an action, not just a number. The skill sees your connected sources though, not your full business context, so think of it as an informed starting point for the decision rather than a final call.
Documentation.AI
Congratulations on the launch. Does it handle messy real-world data where a company may have custom definitions?
Databox
@roopreddy Thanks Roop. This is actually one of the places the Databox layer helps a lot - because the skill reads your metric definitions and reporting logic from your Databox account, not just raw source data, custom definitions you've set up there carry through into the output. So if your company measures something differently from the platform default, the skill works from your version of the truth rather than the generic one. It won't catch everything, but it handles the most common case of "we define this metric our own way" pretty well.
Really like that you're shipping these as skills rather than another dashboard I have to go learn. The "drop it in and ask" angle fits how people actually poke at their data.
Databox
@yibo_wang3 Exactly the instinct we followed. Dashboards are great for monitoring but they still put the analytical work on you - you have to know what to look for and how to frame it. A skill meets you at the question instead of handing you a canvas. Glad that came through.
The biggest issue I've had with AI reports is trusting the numbers, not generating the words. This seems to tackle the right problem. Congrats on shipping.
Databox
@himani_sah1 That's the exact problem we started from. Most AI analytics tools are good at the words but the numbers come from whatever you pasted in, so you end up fact-checking the output before you can use it. Skills run against your live Databox data directly, so the numbers in the report are the same ones your source integrations are pulling - no manual export, no copy-paste gap where something goes stale or wrong. Thanks for putting it so clearly.
GrowMeOrganic
This reminds me a bit of Zapier templates, except for analytics workflows. Different category, similar onboarding advantage.
Databox
@iamanantgupta That's a fair analogy - the 'start from a proven template instead of building from scratch' pattern is similar. The difference is that Zapier templates wire up actions, whereas skills wire up analysis, so the output is a finished report or brief rather than a triggered workflow. But the onboarding advantage you're pointing at is real and intentional - you shouldn't have to figure out the structure before you get value.
From a product perspective this feels like a pivot from dashboards to workflow. That’s a smart move because dashboards are becoming table stakes. The real value now is decision automation not visualization.
Databox
@alheri_murya Great read, Alheri. We'd frame it less as a pivot and more as an extension - dashboards still matter for the "what's happening" view, but customers kept hitting a wall when it came to "what do I do about it." Skills and workflows close that gap by turning the data into an actual decision or action, without someone manually pulling numbers into a doc first. So less either/or, more dashboards plus a layer of automation on top.
Databox
Exactly@alheri_murya , this is the shift we're betting on. A dashboard has to be interpreted in order for it to be valuable, whereas a skill skips that part and gives you insights immediately.