Databox
Databox is a business intelligence and analytics platform designed for agencies, growing businesses, and AI implementers. It integrates data from 130+ tools, providing a trusted data foundation with governed metrics and AI-powered insights. Features include AI Analyst for natural language queries, automated analysis workflows, dashboards, reports, and goal tracking, all secured with enterprise-grade controls to protect your data.
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Checked Oct 27, 2026
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- Performance
- 53 out of 100, Needs improvement
- Accessibility
- 95 out of 100, Good
- Best Practices
- 96 out of 100, Good
- SEO
- 100 out of 100, Good
Around the Web
Aggregating metrics across scattered development stacks, backend databases, and marketing pipelines usually requires building custom internal dashboards or writing complex script loops. Databox solves this infrastructure friction by serving as a unified analytics layer with robust API ingestion capabilities. The recent addition of developer focused AI utilities like their MCP server allows creators to query live operational data directly from their development environments or LLM tools, transforming passive charts into an interactive command interface.
ulykbek11 · Review on Product Hunt
We've been using Databox as the reporting layer for our agentic RevOps work, and the MCP server has been a big unlock, it lets Claude pull live metrics directly instead of us screenshotting dashboards. Combined with the skills we've built on top, it's made our reporting workflows feel a lot more automated and agentic. Excited to see where Databox takes the AI direction.
keith_gutierrez · Review on Product Hunt
People often describe reporting as one of the biggest headaches as growth leaders, and while most platforms' native reporting is lacking, it's not really about the reports. It's actually about what we use reports for; it's what we do with that information, and Databox's most recent updates are a game-changer. You can chat with your data inside Databox and get accurate insights instantly.
tracy_graziani · Review on Product Hunt
Routines and skills are nice on their own, they give the power to anyone using them. But pairing them with MCPs inside Genie, AI Analyst? Sweet :) Having MCPs to provide more context for a report (e.g. a CRM note) so I can better understand why the numbers changed is super helpful. Now all three parts come together into one system that can help me get better results and insights. Can't wait to also get the agents in the mix, I've heard they're coming soon.
mateja_verlic_bruncic · Imported from Product Hunt
Do you trust AI tools to explain your business data or do you still perfer checking the numbers yourself
shivam_kushwaha16 · Imported from Product Hunt
How did you prioritize which connectors to ship first, and what’s your bar for a connector being ‘good enough’ (tool granularity, auditability, token/tool-manifest size, reliability of OAuth/auth flows) versus leaving it to “bring your own MCP server”?
curiouskitty · Imported from Product Hunt
Do you have mechanisms for provenance checking facts/numbers via some kind of multi-agent checks or "citing"? How do you make sure that there are no hallucinated results? (i assumed that this might be the problem you have, but depending on structure of your soft ig you might even avoid this entirely with retrieval-based approach over generated (AI just needed to find and point to smth in the data instead of "read and then rewrite in the return response") Congrats on the launch!!
alp_adur · Imported from Product Hunt