Julius analyzes data and creates presentations, dashboards, websites, images, and video in one AI workspace.
Databar
Databar enriches company and contact records using more than 160 data providers in a workspace, API, and MCP service.
About Databar
Databar is a workspace with API and MCP server access for finding, enriching, researching, and monitoring company and person records. It routes requests across 160+ data providers under one credit system and includes AI research that reads the live web to return structured columns with citations.
Users can search with filters for funding, hiring, size, and technology signals, preview result counts before using credits, monitor accounts for funding rounds, hiring changes, job moves, and stack adoption, and build branching workflows that run on tables, on schedules, or when a signal fires.
Key features
- Search companies and people by funding, hiring, tech, size filters
- Enrich records with firmographics, funding, tech stack, hiring data
- Monitor accounts for funding, hiring spikes, job changes
- AI web research returning structured columns with citations
- Waterfall email and phone lookup across multiple providers
- Automate enrichment with branching workflows on schedules or triggers
Best for: Go-to-market teams and developers building agents that need company and contact data.
Good for
- Access to 160+ providers through one workspace, API, and MCP server
- Result previews and counts shown before credits are used
- Waterfall lookup where unsuccessful provider attempts cost nothing
Databar at a glance
- Website
- databar.ai
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Databar FAQ
Can I preview results before using credits?
Yes, previewing results is free and the full count is shown before spending a credit.
How does contact lookup work?
A waterfall tries provider after provider until a verified answer returns, and misses cost nothing.
What happens when no provider has the data?
An AI researcher reads the live web and returns structured columns with cited sources.
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