GetSignal AI’s intelligenceinsideyour working systems &AI agents
Get direct access to the power of Signal AI’s data and advanced analytics in your preferred Business Intelligence solution or AI agent.
Signal AI works inside the tools your team already uses
Multiple integration points for global, premium data sources
Signal AI offers two ways to integrate: an API for direct access in your preferred Business Intelligence (BI) solutions, and native Model Context Protocol (MCP) support for LLM and AI agent integration. Both connect your systems to Signal AI's real-time global intelligence.
Signal AI MCP brings Signal AI directly into LLMs & agents
Whether you are building custom dashboards or deploying advanced AI agents, Signal AI fits seamlessly into your technology stack. In addition to our robust API Suite, we now offer native support for the Model Context Protocol (MCP). MCP acts as a secure, plug-and-play adapter that allows LLM clients and autonomous agents to natively query Signal AI’s intelligence.

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Three API endpoints for risk intelligence

Risk Events
Continuously monitor risk events
Signal AI’s proprietary event-tracking capability pinpoints 30+ emerging risk events, such as cyberattack threats or lawsuits, that can trigger immediate or long-term risks for a business.

Risk Entity Scores
Prioritize threat mitigation
Effectively identify emerging risks with risk metrics, including event volume and risk score.

Risk Cohort Scores
Benchmark your risk exposure
Place your risk tolerance in context by comparing risk metrics across cohort groups.
Four API endpoints for reputation intelligence
1. Search
Dive deep to access the content powering your insights
Enables hyper-relevant AI search across a billion documents, providing access to impactful data points in real time.
2. Metrics
Understand trends & patterns
Run high-level analysis to understand trends, patterns, and emerging themes related to reputation and corporate perception.
3. Affinity
Uncover unknowns to understand connections between concepts
Measure the exact proximity between concepts, understand who owns more or less of a topic, and spot opportunities to differentiate yourself in the market.
4. Events
Cut through noise to identify the key events driving coverage
Understand where major stories have taken place for ongoing monitoring and historical deep dive purposes.
100M+
entities and topics labeled every day by AIQ
30+
risk event types tracked
226+
markets covered
120+
languages translated
What our customers say
FAQs
Common questions
Everything you need to know about Signal AI for Risk Teams
Ready to integrate?
Connect with a member of our team today to learn how AI-powered insights can change your business.
