RelationalAI
RelationalAI is a decision-intelligence platform delivered as a Native App inside Snowflake. Its core product, Rel, builds a semantic model from data in Snowflake and reasons over it — combining graph analytics, rules, predictive graph neural networks, and prescriptive optimization — to answer high-stakes business questions (supply chain, pricing, inventory, demand forecasting) with transparent, validatable reasoning steps. Developers work through PyRel (the `relationalai` Python SDK), the `rai` CLI, and per-language HTTP SDKs (JavaScript, Julia, Java), with queries compiled to the protobuf Logical Query Protocol (LQP) and executed on RelationalAI engines running in Snowflake. RelationalAI publishes its own coding-agent Skills to drive the workflow.
RelationalAI is profiled on the APIs.io network. Tagged areas include Company, Decision Intelligence, Knowledge Graph, Semantic Layer, and Snowflake.
RelationalAI’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, CLI, and 19 more developer resources.
Kin Score
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type