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Rayrun vs Exabase

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Rayrun compared with Exabase
DetailRayrun logo RayrunExabase logo Exabase
What it doesOne endpoint for every MCP tool Context infrastructure for AI agents
StageNot given Startup
FoundedNot given Not given
Based inUS GB
Pricing modelFreemium Freemium
PricingFree for one developer with up to 25 source-built services, 50,000 tool calls a month, then $0.20 per thousand. Team plan is $25 per developer per month with 100,000 tool calls per developer a month, pooled, then $0.20 per thousand. Enterprise from $1,500 per month. Not given
Key features
  • Source-built servers with TypeScript or Python projects
  • Remote MCP, OpenAPI, npm package, and container image support
  • Per-tool and per-argument access control policies
  • Tool definition review and approval workflow
  • Content scanning with literal and regex detectors
  • Activity tracking and audit trails
  • OIDC and SAML 2.0 single sign-on
  • SCIM 2.0 provisioning
  • Workspace-specific data encryption
  • Custom domain publishing with DNS and Cloudflare certification
  • Memory system with self-managing advanced memory
  • Isolated per-tenant instances with version rollback
  • Portable context server with files, notes and links
  • Sub-document multi-modal hybrid search
  • Structured data extraction from PDFs, websites and images
  • Autonomous agents for knowledge base automation
  • 99.9% uptime SLA
  • AES-256 encryption at rest and SSL in transit
  • TypeScript SDK and REST API
  • Model-agnostic and framework-agnostic
What makes it different
  • One endpoint replaces every client config, eliminating need for each client to store every server and secret
  • Coding agent builds the server automatically with no adapter needed
  • Credentials held once by Rayrun instead of distributed across clients
  • Built-in security review with published controls and audit trails for compliance teams
  • Support for multiple service types without writing adapters
  • Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
  • State-of-the-art on two leading AI memory benchmarks
  • Full-stack data layer eliminating need for multiple services
  • Production-tested at scale powering Fabric platform
  • Self-improving memory that tracks relationships and resolves contradictions
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)45 no change since last check29 no change since last check
Trust Flow (Majestic)1211
Citation Flow (Majestic)3632
Referring domains (Majestic)125122

5 details filled in for both companies.

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