Introducing Baselayer’s MCP: verified business context for AI agents

AI has no shortage of information. The harder problem is knowing what to trust.

Agents are increasingly being deployed to onboard businesses, approve suppliers, underwrite applicants, and investigate fraud. In these high-stakes workflows, AI systems need a trusted source they can check before taking action.

Today, we’re introducing the Baselayer MCP, giving AI agents direct access to Baselayer’s business identity and risk intelligence.

As enterprises move AI from answering questions to taking action, the bar for trust increases.

Baselayer already brings together fragmented information about businesses across public records, digital footprints, risk signals, and proprietary network intelligence. The Baselayer MCP makes that information directly accessible to AI models and agents.

An agent can begin with a business name, website, or other identifier. Baselayer resolves the underlying entity, connects relevant people and relationships, surfaces relevant risks, and returns the evidence behind those signals. This forms the context the agent needs to take its next action.

Depending on the workflow, that can include:

• Business identity: Legal entity information, registrations, addresses, status, and other registered attributes.
• People and ownership: Officers, owners, signers, and relationships associated with the business.
• Digital presence: Websites, industry, online presence, and customer reviews.
• Risk intelligence: Relevant fraud, legal, credit, compliance, and proprietary signals derived from activity across Baselayer’s ecosystem.
• Ongoing monitoring: Changes to a business or its risk profile over time.

Instead of asking the model to decide what information on the internet is credible, Baselayer gives it a trusted source of business context. This enables higher accuracy, reduced hallucination, token-efficient automation, and auditable decisions.

Customers are using Baselayer’s MCP across Compliance, Procurement, Finance, Risk, and Sales teams to automate more of the back office without scaling risk.

Compliance: Automate Diligence Without Losing Control

• Verify businesses and associated people before onboarding.
• Screen entities against AML and sanctions watchlists and automate due diligence.
• Continuously monitor entity and risk changes and escalate material changes for review.

Procurement: Improve Supplier Evaluation and Risk Management

• Verify suppliers and automatically enrich vendor profiles.
• Surface financial, legal, fraud, and operational signals to strengthen supplier evaluation.
• Monitor suppliers for changes in business health and risk.

Finance and Credit: Strengthen Underwriting and Portfolio Decisions

• Bring operational and credit health indicators directly into agentic underwriting workflows.
• Surface liens, lawsuits, bankruptcies, application velocity, and other relevant risk signals.
• Continuously monitor portfolios for emerging credit and fraud signals and prioritize accounts for review.

Financial Analysis: Deepen Company Research and Diligence

• Map a company’s parent, subsidiaries, officers, and related entities to understand the full corporate structure.
• Trace changes in ownership, management, registrations, and entity relationships over time.
• Surface hidden liabilities, distress signals, and counterparty exposure risk.

Sales: Research and Qualify Accounts Faster

• Enrich target accounts with verified business, firmographic, digital, and ownership context.
• Improve qualification using a more complete understanding of the company.
• Give sales agents trusted company context for account research and personalized outreach.

Baselayer provides an agent-ready source of business intelligence without requiring teams to build and maintaincodes their own entity resolution and riskTokenscaf data infrastructure.

Customers can now access Baselayer’s verified business intelligence through our MCP, Claude Connector, ChatGPT Connector, and API integration options. Learn more here