Fast data analysis and visualization: dashboards you can dig into deeper than Grafana
Xedant Analytics Agent was built by an analyst with more than 25 years of working with data and visualization — it is a tool for real analysis, not just monitoring. Here you don’t only look at dashboards: you dig into the data — filter, cross-check, calculate in Python. You can ask the AI to add reports, charts and tables in plain language, right inside the interface. Ready-made solutions — forecasts, segments, scoring — come from a library of 257 analysis templates, including a free analytics course. And when something goes wrong, the system tells you itself: alert rules check your data on a schedule and send a signal to Telegram, Slack or email. The data for reports is usually prepared by Data Agent — together the products form a pipeline: collect → prepare → present.
Documents as reports built from blocks: charts, tables, metrics
38 block types — from Markdown to Jupyter Notebook
28 chart types: lines, bars, funnels, region maps, relationship diagrams
SQLite, PostgreSQL, ClickHouse and your own Python scripts out of the box
Schema auto-detection and caching of tables and queries
Lakehouse: queries to Parquet files without configuring sources
Interactive tables with pagination and cell links
Template library: 257 ready-made analysis solutions with sample data
Ask the agent to add a report, chart or table
Fix with AI button next to any error
Runs on your central Xedant Agent — no extra keys or subscriptions
Built-in validation of documents, blocks and SQL queries
Auto-fix: errors are visible before a report is published
Jupyter Notebooks: Python inside a report
pandas, NumPy, Matplotlib, Seaborn for data analysis
External Python scripts extend the pipeline: source, transform, alert, delivery
Scriban templates and variables in reports
One sidebar and agent chat on every page
Real-time report updates via SignalR
Reports are JSON files: Git, versioning, instant reload
13 types of block styling overrides
Public reports and access control
English and Russian interface, chosen in settings
Self-hosted: one Docker container, data in persistent volumes
Created by an analyst with more than 25 years of experience
Alerts: rule checks and notifications in 24 channels — from Telegram to email
Does not load the server when idle: background checks wake on changes only, and the search index lives on disk without holding memory
Reports built from blocks
A document is a grid of blocks from 1 to 24 columns wide
Drag and drop blocks with the mouse
Reports are stored as JSON files — version them in Git
Changes are picked up instantly: real-time via SignalR
Filters, what-if parameters and click-to-drill right in the report
Export a report as PDF — send it to a colleague or a client
Thirty-eight block types
Charts, tables, metrics and gauges
Markdown text and section headings
Bookmark links and entity property lists
Jupyter Notebooks as full-fledged report blocks
Charts for any data
Line, bar, scatter and doughnut charts
Distribution histograms and box plots with quartiles
Financial OHLC candlesticks with trading volume
Series, stacks, smoothing, legends and animations
Funnels, Gantt, flow, relationship diagrams and region maps
Connecting to your databases
SQLite, PostgreSQL, ClickHouse and your own Python scripts
Automatic schema detection for data sources
Caching of tables and query results
Queries are validated before execution — errors surface immediately
AI right inside the report
“Add a weekly sales chart” — and the block appears
New reports, charts and tables in plain language
Fix with AI button next to an error
The agent edits the report directly — updates are instant
Analysis template library
257 ready-made templates in two groups — Business and Finance — plus a course
Forecasts, segments, scores, anomalies and alerts — end to end
Demo data with every template — run and study before adapting
“Use this template” — the agent adapts it to your data
A free 50-lesson course on data analysis is part of the library
Validation and auto-fix
Document validation: blocks, IDs, widths, configurations
SQL query validation before execution
Background validation of all reports with result caching
Errors are visible before publishing — with the AI fix button
Jupyter Notebooks
Python inside a report: execution via papermill
pandas, NumPy, Matplotlib, Seaborn out of the box
Automatic environment and dependency installation
Templates: basic, data analysis, machine learning
Extending with your own scripts
Your own data source out of any service with a Python client
The script re-works the query result: rename, convert, enrich, compute
A custom alert condition and a custom notification channel
Scripts are plain files next to your settings — no rebuild, no restart
Lakehouse
A file browser for all your data
Queries to Parquet files via Apache Arrow
SQLite files and Markdown without configuring sources
Table schemas and samples right from the browser
Variables and templates
Dynamic reports on the Scriban engine
Variables in document paths and content
Date range and timeframe selectors
One template — as many reports as you need
Styling without limits
13 types of block styling overrides
Number colors by thresholds, formats with prefixes and suffixes
Renaming columns and links from table cells
Hiding series, line, bar and point styles
Alerts — the system watches for you
A rule is a query with a condition: sales fell below a threshold — you get a signal
Scheduled checks: from every 10 seconds to once a day
24 notification channels: Telegram, Slack, email, webhook and more
Silences and mute timings: no noise at night, on weekends and holidays
Firing history and a notification log — who got what and when
Recording rules: check results are saved into a database — build your own dashboards on them
The assistant agent and the sidebar
One sidebar on every page: sections, documents and search
Agent chats open from anywhere — no switching between apps
Give a task in plain language: add a chart, fix an error, prepare a report
A prompts queue with auto-send: the agent works through tasks one by one
Pick a model and a skill for every request — the analytics skill is pre-selected
As-you-type search across documents and templates, and your recent history
Free use for 30 days — the trial is already built into the Docker image. Even after the free license expires, the app stays fully functional except for running new queries against your data. No lock-in — the reports remain yours: documents are stored as plain JSON files, and the data stays in your databases.
Every Analytics Agent feature with no limits for individuals: unlimited installations on any of your computers and servers. $197 one-time payment for a lifetime license. 12 months of free updates, then (optionally) a 50% discount on the next 12 months of updates from the original purchase price. Licensing works offline, and your key is truly lifetime. The matching Xedant Agent license is already included — the Agent is part of the product.
Every Analytics Agent feature with no limits for everyone in a company or team, external contractors included. $497 one-time payment for a lifetime license with 12 months of free updates, then (optionally) a 50% discount on the next 12 months of updates from the original purchase price. Licensing works offline, and your key is truly lifetime. The matching Xedant Agent license is already included — the Agent is part of the product.
Unlimited instances of Analytics Agent under your domain + the full source code with the right to change it any way you like, update the UI or branding for your company or domain, and integrate it closely with your infrastructure. Any visitor of your domain may use it as part of your services. $970 one-time payment for a lifetime license with 12 months of free updates, then (optionally) a 50% discount on the next 12 months of updates from the original purchase price. Licensing works offline, and your key is truly lifetime. The matching Xedant Agent service license is already included — the Agent is part of the product. The Agent’s source code is available only when you buy the service license for Xedant Agent itself. For smooth upgrades, we recommend changing only the branding and the integration — that keeps the effort of merging new features and fixes to a minimum.
In some cases we are happy to gift a free license:
- if you found a bug or a security vulnerability in any of our products (we honestly have no budget for a paid bug bounty, unfortunately);
- if you suggested a sound idea for improving our products (no coding needed — a useful idea is enough; you get a license if we add it to the roadmap);
- if you are an active contributor to open-source projects (we love open-source — we just have no time to maintain our own products as open-source);
- if you run a popular blog, Telegram channel or YouTube channel about programming, AI, analytics, marketing, business, finance or IT in general (no mention or promotion required — it is entirely up to you);
- if you are an active affiliate partner (sales are not required, but you should have at least some content dedicated to our products).
If any of the above is about you, just write to us on Telegram. Tell us your name and email, and we will generate your personal lifetime license key.
