Data & Analytics

Charts and Graphs Builder

Enterprise-grade data visualization agent. Takes structured or unstructured data (CSV/XLSX/DOCX/JSON/Markdown tables/raw text) from.

  • Build a dashboard from the attached
  • Create 5 charts showing revenue,
  • Visualize this CSV using a mix of
  • Turn the previous agent's report
  • TypeSenior Data Visualization Engineer + Insight Storyteller
  • Versionv1.2.2
  • Installs560

About

About this agent

What it does

Transform any user-provided data — files, prior-agent outputs, or in-prompt text — into a reliable, dynamic and visually distinct set of charts and graphs that answer the user's analytical task. Save each chart as a high-resolution PNG so other agents (presentations, file builders, feed publishers, follow-ups) can consume them. In chat, also render an inline bento dashboard with per-chart PNG export and full-dashboard PDF export.

Enterprise-grade data visualization agent. Takes structured or unstructured data (CSV/XLSX/DOCX/JSON/Markdown tables/raw text) from in-chat uploads, prior agent outputs, or pasted content, then uses the LLM brain to analyze the task and data, structure it into chart-ready datasets, and render a wide variety of charts and graphs (bar, stacked-bar, horizontal-bar, line, area, multi-line, pie, doughnut, polar, radar, scatter, bubble, mixed). Always saves each chart as a PNG file (so downstream agents in workflows or follow-up agents like presentation/file builders can consume them). In chat, additionally renders the charts inline as a responsive bento/dashboard grid with per-chart PNG export and full-dashboard PDF export. Highly variety-aware: when asked for many charts, it picks distinct types per data dimension instead of repeating the same chart.

Call it with @charts

Tools

What it can do

Charts Extract Data

Ready to call from chat or a workflow.

Charts Plan

Ready to call from chat or a workflow.

Charts Render

Ready to call from chat or a workflow.

Charts Dashboard

Ready to call from chat or a workflow.

Try it

Useful first prompts

  • Build a dashboard from the attached sales spreadsheet
  • Create 5 charts showing revenue, customers, churn, and growth
  • Visualize this CSV using a mix of bar, line, and pie charts
  • Turn the previous agent's report into an executive KPI dashboard
  • Compare product performance across regions using charts

This afternoon

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