Skip to main content

​
Native Data Sources

Maia natively supports a suite of powerful Data Sources, enabled with a single click. Instead of manually searching and scraping, you can instruct Maia to pull precise information from the most trustworthy providers for lead generation, SEO, and market research. This lets you focus on strategy and execution while Maia handles the heavy lifting of data collection with programmatic accuracy.

​
How Data Sources Work

​
Just Ask

You don’t need to configure anything or select which data source to use. Just describe what you need in natural language, and Maia automatically pulls from the right source. 
"Find marketing managers at SaaS companies in California
with 50-200 employees and get their contact information"

​
Saved to Your Workspace

Unlike Native Connections which access data transiently during workflow execution, Data Sources save retrieved data to your workspace. You can view, export, and reuse this data across multiple workflows at any time.

​
Example Workflows

What you ask:
"Find CTOs at fintech startups in New York that raised
Series A funding this year. Get their email addresses."
What happens: Maia searches for people matching your criteria—filtering by job title, industry, location, and funding stage—then enriches the results with verified contact information ready for your sales outreach.
What you ask:
"Analyze the keyword 'AI automation tools' and find related
keywords with high search volume but low competition."
What happens: Maia retrieves comprehensive keyword metrics including search volume, keyword difficulty, CPC, and search intent. It then discovers related keyword opportunities and filters for high-potential targets.
What you ask:
"Find the top YouTube videos about product-led growth
from the last month and summarize what topics they cover."
What happens: Maia searches YouTube for relevant videos, extracts their metadata and full transcripts, then analyzes the content to identify common themes and talking points.
What you ask:
"Compare search interest for 'remote work' vs 'hybrid work'
over the past year and identify rising related topics."
What happens: Maia queries trend data to show interest over time, compares the terms across regions, and surfaces related queries that are gaining momentum.

Next: Intelligent Action Use

Learn how Maia dynamically selects the right tools for each task