Put RapidRatings' proprietary models and verified financials on private and public companies inside your AI tools and agents. Analyze supplier financial performance and third-party risk using trusted data, so you can make decisions you can stand behind.
Every answer is built from the same verified financial data behind your dashboard. Claude looks it up, reads it, and shows its source. It never guesses from the open web.
RapidRatings collects real financial statements directly from companies, including the private suppliers that disclose nothing publicly. We score them on the FHR®, a 0 to 100 rating built from a company’s full financial statements and more than 12 million company-years of data, so it flags financial stress years before it reaches your operations. Now, your AI can work from that same foundation, inside the tools your teams already use.
Link your AI tools and agents to RapidRatings through a secure connection.
Every request follows the user’s RapidRatings permissions.
Pull ratings, financials, trends, and portfolio data, ask questions in plain language, and take the next step, like requesting fresh financials, without leaving your workflow. Build repeatable workflows that bring RapidRatings data together with your own context.
MCP is an open standard, so other MCP-compatible tools connect the same way.
Financial data is sensitive, and AI access to it should be controlled. Every request honors the user’s existing RapidRatings entitlements, so your AI reaches only what that account is cleared to see. And RapidRatings data is always attributed to its source, so your teams know the numbers are ours.
All data runs under a security program certified to ISO 27001 and SOC 2 Type II, and compliant with GDPR.
Tell us which AI tools your teams use, and we’ll show you how RapidRatings fits the way you work.
