In today's information-saturated world, the ability to find the right data is a superpower. But the process is often a tedious, manual slog. You wade through endless search results, piece together fragmented information, and spend hours trying to synthesize it into something coherent. This "data chaos" is a major bottleneck for analysts, developers, and strategists alike. What if you could skip the manual labor and go straight from a complex question to a structured, actionable answer?
Enter research.do.
We’ve built a new paradigm for information retrieval. Instead of just giving you a list of links, research.do deploys autonomous AI agents to perform deep research, analyze data from multiple sources, and deliver synthesized reports on demand. It's time to transform your questions directly into insights.
A standard search engine is a directory. It points you to potential sources, but the heavy lifting of reading, understanding, cross-referencing, and summarizing is left entirely to you. This is where research.do fundamentally differs.
research.do acts as your dedicated AI research analyst. It leverages a sophisticated multi-agent system that:
The result isn't a list of ten blue links; it's a single, coherent answer, saving you countless hours of work and enabling true data synthesis at scale.
For developers and data teams, the true power of research.do is unlocked through its simple API. You can integrate powerful AI research capabilities directly into your applications, internal tools, or business intelligence workflows.
Imagine you need to generate a quarterly market report. Instead of assigning a team to spend days on the task, you can run a single command. Here’s how you can programmatically ask research.do to analyze market trends for renewable energy:
import { Do } from '@do-inc/sdk';
const researchAgent = new Do('research.do', { apiKey: 'YOUR_API_KEY' });
const report = await researchAgent.run({
query: "Analyze Q1 2024 market trends for renewable energy in North America.",
sources: ["sec.gov", "bloomberg.com", "reuters.com"],
depth: "comprehensive",
format: "markdown_report"
});
console.log(report.result);
Let's break down what's happening here:
This programmatic approach allows you to automate everything from competitive monitoring to due diligence, all within your existing technology stack.
We designed research.do to be both powerful and reliable, giving you the tools you need to trust the output and integrate it seamlessly.
How do you know the information is accurate? Our system employs multiple AI agents that work together to cross-reference findings. By synthesizing data from various sources you trust, the platform minimizes bias and surfaces a more balanced, reliable perspective, complete with citations.
Generic web searches can pull from unreliable or irrelevant sources. With research.do, you can restrict your research to specific domains, a list of URLs, or even your own internal document repositories. This ensures the insights are grounded in information you approve of, which is critical for specialized fields like financial analysis or academic research.
Insights are only useful if you can act on them. research.do delivers results in a variety of developer-friendly formats:
The era of manual data wrangling is over. With research.do, you can finally bridge the gap between question and insight, automating the most time-consuming aspects of research. Whether you're conducting market analysis, tracking competitors, performing due diligence, or fueling your next big project with data, our AI agents are ready to deliver answers on demand.
Stop sifting and start synthesizing. Transform your most complex questions into structured, actionable intelligence today.
Ready to integrate AI-powered research into your workflow? Explore the research.do API and get started.