Artifacts by Databox icon

Artifacts by Databox

AI reporting layer that turns Databox Genie conversations into shareable reports, slide decks, dashboards, and interactive documents.

Reviewed by ToolWorthy Editors·updated today

Pricing:Free + from $159/mo
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Databox AI analytics workspace for generating shareable reports from live business data

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Pros & Cons

Pros

  • Turns AI analysis into a shareable deliverable instead of leaving it in chat
  • Built on connected Databox metrics, definitions, and integrations
  • Public links and PDFs support client and executive reporting workflows
  • Prompt-based restyling can save time on recurring report formatting
  • Databox already supports 130+ integrations and business analytics workflows

Cons

  • Best value requires adopting Databox as the analytics layer first
  • AI credits can become a planning constraint for heavy reporting teams
  • Artifact quality depends on how well metrics and datasets are defined in Databox
  • Public links need governance for sensitive business data
  • It may be overkill for teams that only need one-off static charts

Overview

Artifacts by Databox is a reporting layer for Databox Genie, the company's AI Analyst. Instead of ending with a chat answer, a Genie conversation can become a polished report, slide deck, dashboard, or interactive document built from connected business data. The output can be shared by public link or downloaded as a PDF.

The product solves a practical analytics workflow problem: teams often get an insight in chat, then rebuild the same numbers and narrative in slides, PDFs, or client reports. Artifacts turns that last mile into part of the AI workflow. Because the data is already connected in Databox, the report can draw from live metrics rather than pasted screenshots.

This makes Artifacts relevant for teams already evaluating AI data analysis tools. It is less about replacing all BI dashboards and more about packaging analysis into something a client, executive, or stakeholder can actually read.

Key Features

  • Report generation from Genie chats - Ask the AI Analyst to turn an analysis into a finished report without manually copying charts and commentary into another tool.
  • Multiple output formats - Convert the same analysis into reports, slide decks, dashboards, or interactive documents with follow-up prompts.
  • Live connected data - Artifacts are built from Databox-connected metrics and integrations, reducing the risk of stale screenshot-based reporting.
  • Public link sharing - Share an artifact with people who do not have a Databox login, useful for clients, executives, and cross-functional stakeholders.
  • PDF download - Export artifacts as PDFs when stakeholders need a file rather than an interactive link.
  • Prompt-based styling - Ask Genie to adjust layout, colors, fonts, and charts so reports better match your brand or client style.

How It Compares

Artifacts by Databox competes less with generic AI writing tools and more with the manual reporting work that sits between dashboards and decisions. A general chatbot can draft a report if you paste data into it, but it does not already own the metric definitions, connected data, dashboard context, or historical reporting structure.

Compared with traditional AI data visualization tools, Artifacts is opinionated around deliverables. It is for teams that need to hand analysis to another person, not just inspect a chart themselves. That is especially useful for agencies, RevOps teams, marketing teams, and leadership reporting workflows.

Pricing & Plans

Artifacts is part of the broader Databox AI platform. Databox offers a free plan and a 14-day trial, then paid team plans.

Plan Price AI Credits Notes
Free $0/month 50 AI credits/month 1 user, 3 data sources, basic KPI tracking
Pro $159/month billed annually 1,500 AI credits/month Unlimited users, dashboards, reports, MCP server, API, and AI Analyst usage
Growth $399/month billed annually 4,000 AI credits/month Adds datasets, forecasting, faster sync, and dedicated customer success
Custom Custom Flexible Enterprise controls, SSO, white-labeling, setup support, and negotiated AI credits

Databox says AI credits power Genie, AI-generated insights, dashboard building with AI, and MCP queries. Teams should confirm whether their expected Artifact volume fits the included monthly credits.

Best For

  • Agencies rebuilding similar client reports every month
  • RevOps and marketing teams that need executive-ready performance summaries
  • Business teams that want AI productivity gains without giving every stakeholder dashboard access
  • Analysts who want to turn exploratory Genie conversations into polished deliverables
  • Teams already using Databox dashboards, reports, MCP, or Genie

FAQ

What is Artifacts by Databox?

Artifacts by Databox turns conversations with Genie, Databox's AI Analyst, into shareable reports, slide decks, dashboards, or interactive documents.

Does Artifacts use live data?

Yes. Databox says Artifacts are built from connected business data inside Databox rather than pasted screenshots or static exports.

Can people view an Artifact without a Databox login?

Yes. Artifacts can be shared through public links, and reports can also be downloaded as PDFs.

Is Artifacts free?

Artifacts is part of Databox AI. Databox has a free plan and trial, while paid team plans start at $159/month billed annually.

What is the main advantage over ChatGPT?

Databox already has connected metrics, definitions, and reporting context. That reduces manual data preparation compared with pasting numbers into a general chatbot.

What should teams verify before using it with clients?

Teams should verify metric definitions, source freshness, permission settings, public-link controls, and whether AI credit limits fit their recurring report volume.

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