Resources
Go deeper on the intelligence layer
The technical detail behind Altitude AI — architecture, capabilities, security, and integration — plus the developer references for building on it.
Technical white paper
Altitude AI: Technology Whitepaper
The architecture behind the intelligence layer — why a frontier LLM can reason but can't compute, and how Altitude's purpose-built toolset returns computed, reproducible answers the model only explains.
- Why the numbers are computed and reproducible — not generated by the model
- The quantitative engine, macro-regime model, and AI advisor agent
- MCP + bring-your-own-data, plus the security and reliability posture
The final technical white paper is being prepared for release. Want a copy when it's ready?
Notify me when it's publishedDeveloper references
API documentation
Full REST reference, authentication, rate limits, and error formats — public, no login required.
Read the docsDeveloper portal
Create an account, manage API keys, explore endpoints in the API playground, and track usage.
Open the portalIntegration guides
Connect Altitude AI to the tools you already use — Claude.ai, n8n, the OpenAI SDK, and more.
Browse guidesFAQ
What Altitude AI is, who it's for, how it's secured, and what it costs — answered plainly.
Read the FAQReady to see it?
Book a walkthrough and we'll show you the platform and the API on your own use case.