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.

35.1/100 thin ▬ flat Agent 18/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyDecision IntelligenceKnowledge GraphSemantic LayerSnowflakeGraph AnalyticsMachine LearningOptimizationReasoningAI

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 35.1/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 18/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/relationalai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Relationalai Authentication

snowflake-connection · 1 scheme

SECURITY

Relationalai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Relationalai Trust Center

SOC 2, ISO 27001, HIPAA, GDPR

SECURITY

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

Source (apis.yml)

apis.yml Raw ↑
aid: relationalai
name: RelationalAI
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/relationalai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- menlo-ventures
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://cdn.prod.website-files.com/68c66131e7dc76329c719913/68df015bc18ca537629f59b3_og-home-relationalai.jpg
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Decision Intelligence
- Knowledge Graph
- Semantic Layer
- Snowflake
- Graph Analytics
- Machine Learning
- Optimization
- Reasoning
- AI
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://relational.ai
- type: DeveloperPortal
  url: https://docs.relational.ai/
- type: Documentation
  url: https://docs.relational.ai/
- type: APIReference
  url: https://docs.relational.ai/api
- type: GettingStarted
  url: https://docs.relational.ai/build/setup
- type: Blog
  url: https://relational.ai/blog
- type: GitHubOrganization
  url: https://github.com/RelationalAI
- type: Pricing
  url: https://relational.ai/pricing
- type: SignUp
  url: https://relational.ai/get-in-touch
- type: TermsOfService
  url: https://cdn.prod.website-files.com/68c66131e7dc76329c719913/68d6bfd57445ffd406a54fec_relationalai-tos.pdf
- type: PrivacyPolicy
  url: https://relational.ai/privacy-policy
- type: TrustCenter
  url: security/relationalai-trust-center.yml
- type: Compliance
  url: https://trust.relational.ai/
- type: DomainSecurity
  url: security/relationalai-domain-security.yml
- type: Packages
  url: packages/relationalai-packages.yml
- type: SDKs
  url: packages/relationalai-packages.yml
- type: CLI
  url: cli/relationalai-cli.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Authentication
  url: authentication/relationalai-authentication.yml
- type: Conventions
  url: conventions/relationalai-conventions.yml
- type: Lifecycle
  url: lifecycle/relationalai-lifecycle.yml
- type: ChangeLog
  url: changelog/relationalai-changelog.yml
- type: Conformance
  url: conformance/relationalai-conformance.yml
- type: Protobuf
  url: grpc/relationalai-lqp.yml
- type: LLMsTxt
  url: llms/relationalai-llms.txt
- type: WellKnown
  url: well-known/relationalai-well-known.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 14
  pass: local-v1