| What it does | One endpoint for every MCP tool
| The continual learning engine for AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Freemium
| Freemium
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| Pricing | Free 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.
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| 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
| - Capture signals from code, requirements, and production traces
- Build and maintain EvalsWiki as versioned behavioral knowledge
- Find missing eval coverage and unclear expectations
- Generate complete evals with scenarios, environments, and evaluators
- Optimize harness across prompts, tools, workflows, and code
- Multi-objective optimization for quality, cost, latency, and KPIs
- Model selection, migration, and routing with evaluation
- Regression-controlled improvement with evaluation evidence
- Versioned storage in repository with pull requests
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| 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
| - Turns failures into replayable learning environments
- Prevents regressions by keeping previous evals in the loop
- Integrates with existing observability stacks and traces
- Preserves business intelligence versioned in repository
- Adapts harness to model changes without redefining use cases
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 45 ● no change since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 12 | 13 |
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| Citation Flow (Majestic) | 36 | 25 |
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| Referring domains (Majestic) | 125 | 79 |
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Rayrun
RELAI