RAINBIRD FOR DEVELOPERS
A decision layer your stack can call
Send evidence, get back a decision, a certainty score and the reasoning tree behind it. Call it from an agent over MCP, from an application over REST, or from workflow tools you already run.
INTEGRATIONS
Three ways in
MCP
Give your agents judgement
Publish your Rainbird knowledge graphs as tools any MCP-compatible agent can call. The agent gathers context and runs the workflow. Rainbird makes the decision and shows its working.
REST API & SDKs
Query decisions like any service
Call it over HTTP with: Open a query, add evidence as it arrives, read back the decision with its certainty score and evidence tree. APIs are versioned, so behaviour won’t shift under you.
CONNECTORS
Plug into what you already run
Connect Rainbird to your existing ecosystem through tools including UiPath and Microsoft Power Automate, with workflow orchestration for evidence gathering, system updates and downstream actions.
LEARN
Everything you need to build
ACADEMY
Rainbird Academy
Build practical knowledge engineering skills through structured, self-paced courses. Learn how to create your first knowledge graph, test and refine its logic, and apply proven patterns for deploying and managing decision automation in production.
DOCUMENTATION
Rainbird Docs
Find everything you need to build, integrate and manage solutions with Rainbird.
Explore detailed platform documentation, practical implementation guidance and interactive API references, all maintained alongside the latest platform releases.
COMMUNITY
Rainbird Forum
Connect with a growing community of people building, deploying and exploring deterministic AI. Ask questions, share ideas, exchange practical guidance and learn from others working through real implementation challenges with the Rainbird Platform.
Build on the decision layer
Start free today, or talk to our engineers about hands-on support for high-stakes enterprise applications.