Databox

Imagine handing someone a shopping list with a clear conditional rule: if whole milk is out of stock, buy 2% milk, and if the total bill exceeds twenty dollars, remove the snacks and recheck the sum. That is algorithmic logic. Computer systems thrive on explicit instructions and exact numbers. Yet traditional language models struggle with business reporting precisely because they guess what words should follow next instead of evaluating fixed formulas against an immutable ledger.

Databox bridges this gap by decoupling mathematical computation from text generation. Rather than forcing an AI to do mental math on raw spreadsheets, Databox anchors your metrics to a governed semantic layer. Connected to over 130 business tools, databases, and APIs, the platform establishes uniform definitions for key performance indicators (KPIs), complete with designated owners and tracked data lineage. When you interact with Genie, the built-in AI analyst, the underlying engine computes deterministic figures first and hands the verified numbers to the language layer for interpretation, root-cause explanation, and forecasting.

Like modern analytics platforms featuring dedicated MCP endpoints, Databox acts as a contextual bridge between operational software and autonomous agents. The service provides:

• Genie AI Analyst: Conversational querying of live performance data to identify why metrics fluctuated, highlight anomalies, and suggest strategic next steps.
• Databoards & Artifact Generation: Rapid construction of interactive dashboards, presentation decks, and automated executive briefs from simple chat prompts.
• Goals & OKRs Tracking: Direct alignment of strategic business targets with live metrics, automatically calculating progress rollups across sub-goals and triggering smart alerts when pacing falls behind.
• Model Context Protocol (MCP) Server: A standardized connector (`https://mcp.databox.com/mcp`) enabling external tools such as Claude, ChatGPT, Gemini, Cursor, or n8n to query governed business metrics safely.
• Automated Routines & Custom Skills: Reusable analytical workflows that compile scheduled recaps and deliver summaries into Slack or email.

Platform access is provided via a web interface and an API. Databox follows a freemium model. The permanent Free plan includes 1 user, 3 data sources, 1 dashboard and report, 10 custom metrics, daily data sync, and 50 AI credits per month. Upgrading to the Analyst plan ($89/month) introduces hourly sync, custom integrations, the MCP server, and API access. Collaborative organizations can choose Team Core ($249/month with a 14-day trial) or Team Scale ($399/month), while larger enterprises can request a Custom plan. Verified payment methods include Visa, Mastercard, American Express, JCB, and Bank transfer. All data remains protected by SOC 2 controls and GDPR compliance, and customer performance numbers are never used to train AI models.