Databox is business intelligence and analytics software that connects 130+ tools, standardizes metrics, and gives teams AI-first ways to ask questions about performance. It targets growing companies, agencies, and functional leaders that need clear, trusted answers without building a full data stack. By combining dashboards, goals, reports, Genie AI Analyst, and MCP connections to tools like Claude or ChatGPT, it shortens the path from raw data to everyday decisions.
Key Features:
Genie AI Analyst: Natural-language assistant that explains metric changes, surfaces anomalies, and can build new metrics and dashboards from a simple prompt.
Databox MCP: Model Context Protocol server that pipes Databox’s governed metrics into AI tools like Claude, ChatGPT, Cursor, or n8n so teams can chat with data anywhere.
Dashboards and Reports: Interactive dashboards and automated reports that blend live KPIs, visualizations, and written context for stakeholders.
Metrics, Goals & OKRs: Metric and KPI Builder, goal tracking, and optional OKRs keep teams aligned on shared definitions and measurable targets.
Datasets and Forecasts: Dataset tools to clean, merge, and structure raw data, plus forecasting that projects future performance and scenario models for key metrics.
Integrations, Templates, and Skills Marketplace: 130+ native integrations, 300+ dashboard templates, and a Skills Marketplace that delivers AI analyses on your own data with expert-built logic.
Pros
Fast setup from existing tools: Native connectors to CRMs, ad platforms, spreadsheets, and databases let teams centralize data without standing up a warehouse first.
AI for non-technical users: Genie and MCP give anyone the ability to ask plain-English questions and get explanations without writing SQL or filing BI tickets.
Unlimited users on team plans: Pro, Growth, and Custom include unlimited seats, so adoption can expand across departments without per-user cost creep.
Strong template ecosystem: 300+ dashboards, report templates, and AI Skills reduce the time from connecting a source to getting useful analysis.
Built-in performance management: Goals, alerts, scorecards, OKRs, and forecasts connect analytics to ongoing planning, not just retrospective reporting.
Cons
Advanced features locked to higher tiers: Full datasets, forecasting, OKRs, fiscal calendars, and advanced security live on Growth, Custom, or paid add-ons, which can be pricey for small teams.
Near real-time sync costs more: Only Growth and Custom offer 15-minute refresh on select sources, while lower plans are limited to daily or hourly syncs.
AI usage capped by credits: Each plan includes a fixed pool of AI credits, so heavy Genie or MCP use may require moving to higher plans or top-ups.
Who is Using Databox?
Functional leaders and team managers: Track core KPIs on dashboards, receive alerts on key changes, and use AI summaries to run more focused weekly meetings.
Executives and founders: Watch company-level KPIs, goals, and OKRs in one place, then pull Genie explanations into board and investor updates.
Business analysts and ops teams: Standardize metrics with datasets and the Metric Builder, then let Genie handle ad hoc questions so they can focus on deeper analysis.
Agencies and consultants: Build reusable client templates, automate white-labeled reports, and add Genie- or MCP-powered insight packages as a revenue-generating service.
Revenue and marketing leaders at SaaS companies: Connect CRM, billing, product, and ad platforms to monitor funnels, MRR, churn, and campaign performance from a single source of truth.
Uncommon Use Cases: Internal enablement teams using Databox dashboards and OKRs to teach data literacy across departments; AI ops teams wiring MCP into automation tools to trigger actions from metric changes.
Pricing:
Free: $0 per month; includes 3 data sources, 1 user, 50 AI credits per month, cloud integrations, and limited BI features.
Analyst: $79 per month; billed monthly, includes 5 data sources, 1 user, 500 AI credits per month, all integrations, BI features, datasets, and MCP server/API.
Pro: $199 per month; billed monthly, includes 3 data sources, unlimited users, 1,500 AI credits per month, all integrations, BI features, MCP server/API, sharing and notifications, and limited datasets.
Growth: $499 per month; billed monthly, includes 3 data sources, unlimited users, 4,000 AI credits per month, datasets, 15-minute sync, forecasting, sub-accounts, and dedicated CSM.
Custom: Pricing information is unavailable; includes unlimited users, flexible AI credits, white-labeling, advanced security, SSO, account setup, and priority support.
Agency Starter: $99 per month; billed monthly, includes 3 data sources, 5 client accounts, unlimited users, 500 AI credits per month, cloud integrations, limited BI features, MCP server/API, and sharing.
Agency Pro: $199 per month; billed monthly, includes 3 data sources, unlimited client accounts and users, 1,500 AI credits per month, all integrations, BI features, MCP server/API, sharing, and limited datasets.
Agency Growth: $499 per month; billed monthly, includes 3 data sources, unlimited client accounts and users, 4,000 AI credits per month, datasets, 15-minute sync, forecasting, sub-accounts, and dedicated CSM.
Agency Premium: $999 per month; billed monthly, includes 50 data sources, unlimited client accounts and users, 10,000 AI credits per month, white-labeling, advanced security, SSO, account setup, and priority support.
Billing Options: Monthly pricing is shown; annual billing is available and saves 20%.
Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official Databox website.
What Makes Databox Unique?
Databox stands out by pairing an AI analyst and MCP server with a governed semantic layer instead of just adding chat on top of charts. Genie runs on standardized KPIs defined once in the Metrics & KPI Builder, while MCP exposes that same trusted layer to external AI tools like Claude or ChatGPT. Combined with unlimited users on team plans and a deep template and Skills Marketplace library, it turns AI analytics into everyday behavior across whole organizations, not just data teams.
How We Rated It:
Accuracy and Reliability: 4.3/5
Ease of Use: 4.5/5
Functionality and Features: 4.4/5
Performance and Speed: 4.0/5
Customization and Flexibility: 4.1/5
Data Privacy and Security: 4.6/5
Support and Resources: 4.2/5
Cost-Efficiency: 4.0/5
Integration Capabilities: 4.7/5
Overall Score: 4.3/5
AI Answers On Trusted Metrics:
Databox is a strong fit for teams that want AI to explain what is happening in their business using data already flowing through tools like HubSpot, Salesforce, Google Analytics, and Stripe. It will not replace warehouse-centric BI for highly custom modeling, and the most advanced planning and governance features sit on higher tiers. For scaling SaaS companies, agencies, and cross-functional teams that care about speed, shared context, and self-serve analytics, it offers a clear, AI-forward way to move from metrics to action.
