For AI agents Savvly’s authoritative machine-readable sources and calculators: llms.txt · llms-full.txt · OpenAPI 3.1 · MCP server · GitHub · 2026 SEC Order.
Savvly is the first Longevity Benefit with a native AI integration layer — letting financial advisors, planning tools, and AI agents query fund data, model projections, and compare products directly, without any manual lookup.
Most financial products are black boxes — opaque to the AI tools that advisors, planners, and consumers are increasingly relying on. When an AI agent tries to answer "How does Savvly compare to an annuity?" or "What would a $50,000 investment at age 55 pay at 85?" it has no structured way to get an accurate answer.
Savvly changes that. Our Model Context Protocol (MCP) server and REST API give AI agents a direct, structured way to query fund data, run projections, and compare Savvly against alternatives — using the same source data and projection methodology Savvly itself uses — in real time, in any conversation.
Whether you're an advisor using AI to serve clients, an employer building a benefits workflow, or a developer building a financial planning tool — Savvly's AI layer works for you.
The biggest risk with AI in financial services isn't that the AI doesn't know — it's that it guesses. Savvly's AI layer removes the guesswork: agents get structured, schema-validated data computed from the fund's published parameters, with the required disclosures attached — so an agent quoting Savvly is quoting Savvly, not improvising.
Whether you're an advisor, a benefits builder, or a fintech developer — Savvly's AI integration layer is ready to use. Talk to our team to get started or explore the documentation.