StackAI leverages Exa's Search, Answer, and Websets APIs to power enterprise AI agents with real-time web intelligence, enabling automated research workflows that match human capabilities at scale.
"StackAI and Exa are the dream team…Exa is amazing at web search! We're proud to use Exa on our platform and to show our customers how web search can power AI agent workflows."— Bernard Aceituno, Co-Founder and President @ StackAI
About StackAI
Enterprise AI Agent Platform
StackAI is the secure enterprise toolkit for building, deploying, and managing AI agents at scale. With a focus on enterprise-grade governance and security, StackAI has become the go-to platform for organizations looking to leverage AI agents for mission-critical operations like due diligence, competitive intelligence, RFP response drafting, and market research.
The Challenge
Building research-ready enterprise AI agents
Building enterprise AI agents that could match human research capabilities meant solving some critical problems first:
1. Search Quality: Traditional search APIs returned keyword-matched results that missed semantic context and nuanced business intelligence
2. Workflow Integration: Enterprise customers needed search seamlessly embedded in complex multi-step agent workflows, not standalone search tools
3. Enterprise Scale: The platform needed to handle thousands of concurrent searches across different customer workflows
4. Use Case Diversity: From financial due diligence to competitive intelligence to regulatory monitoring, different industries needed different search approaches
The Solution
Dual integration architecture for enterprise AI agents
Exa met every requirement through a dual integration architecture:
User-facing search node
StackAI exposes Exa as a drag-and-drop node in their visual agent builder, giving users direct access to core capabilities
Tool-calling backend intelligence
Exa also powers StackAI's native web search behind the scenes, automatically enhancing every agent's research capabilities, no code or configuration required, when calling Exa as a tool within an LLM node
Implementation
Integrating Exa's Search, Answer, and Websets APIs
In less than 2 weeks, StackAI went from integration planning to having Exa fully deployed across the platform, with both the exposed functionality and background intelligence. Now, users can define their query and any optional settings, like how many results to return. Exa will fetch web content—complete with titles, URLs, and snippets—that downstream nodes can then process, summarize, or visualize.
Qualities:
- Neural search
- Keyword-based search
- Relevant results
Integrate Exa Search
How It Works
The User Workflow:
1. User builds AI agent in StackAI's visual editor
2. Adds Exa node or calls web search capabilities at the LLM level
3. Agent automatically performs semantic research during execution
4. Knowledge flows into downstream analysis and decision-making nodes
For StackAI's enterprise customers, this equips AI agents with cutting-edge research, diligence, and enrichment capabilities. Two examples of use cases include:
Results
Transformed enterprise AI agent capabilities
The integration has transformed how StackAI's enterprise customers build and deploy research-ready AI agents:
- High customer engagement: Strong adoption of both the exposed Exa node and automatic backend enhancements across StackAI's customer base
- Improved agent performance: Exa enables real-time, internet-scale searching, integrating fresh external data seamlessly within AI agent workflows
- Real-time intelligence: Agents can access, analyze, and utilize web data efficiently and effectively, delivering even more ROI for customers