Routines by Databox

The right Databox plan depends on how much data you need to connect, how many people need access, and how your team is structured. The Free plan gets you started with agentic analytics grounded in real data: 1 user, 3 data sources, 1 dashboard, 10 custom metrics, 50 AI credits/mo, daily sync. Includes the AI analyst (Genie), performance summaries, governed semantic layer, data lineage, and anomaly detection. The Analyst plan is for solo operators who want an open platform to build, customize, and connect to LLMs: 1 user, 5 data sources, unlimited dashboards and reports, 150 AI credits/mo, hourly sync. Adds custom data integrations, API access, MCP server, and pre-built skills. The Team plan is built for collaborative analytics, in two sizes. Core: 3 users, 10 data sources, 500 AI credits/mo, $249/month. Scale: 10 users, 30 data sources, 1,000 AI credits/mo, $399/month, plus separate accounts for the different parts of your organization. Both add custom skills, Genie in Slack, routines,

No. Databox doesn’t charge per seat. Team Core and Team Scale include a set number of users (3 and 10, respectively), while Agency includes unlimited users. Everyone who needs to see the numbers can see them, whether that’s your team, your leadership, or your clients. The Free and Analyst plans are single-user plans built for individual analysis.

Yes. The Free plan is built for individuals who want to track key metrics without a financial commitment. You get 1 user, 3 data sources, 1 dashboard, 10 custom metrics, and 50 AI credits a month, plus the AI analyst (Genie), performance summaries, governed semantic layer, and anomaly detection. Paid plans unlock more data sources, more users, unlimited dashboards and reports, and more AI credits to power deeper AI analysis and the MCP server.

Yes. Most teams grow in two directions: more people need access, and their use of data becomes more sophisticated. Databox is built to support both. Team Core and Team Scale give you room to grow with more users and data sources, while Agency includes unlimited users so growing your client-facing team doesn’t increase your bill. Moving up the plan ladder also unlocks more advanced capabilities, including more AI credits, faster sync, custom skills, Genie in Slack, routines, and, at the top end, separate accounts for managing different clients, brands, locations, teams, business units, or other parts of your organization.

A data source is a specific dataset, account, property, or view that you use in Databox. A connection is the integration or authentication layer used to bring data from a service such as Google Analytics, HubSpot, Salesforce, or another tool. One connection can include multiple data sources. For example, one Google Analytics connection can include multiple website properties as separate data sources.

Each plan includes a fixed number of data sources, and adding more means moving up a plan tier. Agency is self-serve, so you can add data sources anytime through account packs at $25/month per pack (1 account, 5 data sources, 50 AI credits). If you’re not sure which plan fits your needs, reach out to our team and we can talk it through.

AI credits are how Databox prices AI usage. Every question you ask Genie and every AI-generated insight draws from a monthly credit pool that resets at the start of each month. The right credit allocation depends on how heavily your team uses AI. Free includes 50 credits for light exploration, Analyst includes 150 for solo analysis work, Team Core includes 500, Team Scale includes 1,000 for heavier team-wide use, Agency includes 300 plus 50 per account pack, and Custom offers flexible credits sized to your usage.

Both plan types run on the same Databox platform. The difference is what each is built around. Business plans (Free, Analyst, and Team) are built around one company’s performance: connect your tools, track your KPIs, share dashboards with your team, and run goals against your own data. Agency plans are built around managing performance for many clients, locations, franchises, or brands: cross-account reporting via Genie and the MCP server, custom templates, and pricing that scales with the number of clients, locations, franchises, or brands you manage through account packs.

Yes. Most teams use Databox in one of two ways. If you don’t have a BI tool today, Databox replaces the spreadsheets, screenshots, and one-off dashboards you’ve been stitching together. You get connected data, automated reports, and AI answers in one place that anyone on the team can use. If you already use Power BI, Tableau, or Looker Studio, Databox sits alongside them. Those tools serve your analysts. Databox serves everyone else with self-serve KPI tracking, scorecards, alerts, automated reporting, and AI-powered summaries built for business teams.

No. Databox works with or without a data warehouse. Most teams connect Databox directly to the tools they already use: 130+ native integrations across CRMs, marketing platforms, ad networks, spreadsheets, databases, and warehouses. For teams that do have raw data they want to prepare, datasets handle the prep inside Databox. Clean, merge, filter, and standardize your data, then use it in dashboards, reports, metrics, and AI analysis.