SurrealDB

39
Fair
Agent Native Score
Free TierAPI Key AuthOpenAPI Spec

A scalable, distributed, multi-model database with support for SQL, graphs, and documents in a single query language. Designed for serverless, edge, and traditional deployments with built-in authentication and real-time capabilities.

Categories: Database · Backend
#40 of 69 in Database · #14 of 24 in Backend
Checklist Breakdown

13 of 33 checks passed. 14 unscored.

Discovery 63%

Can an agent find and understand this tool without a web search?

✓ Published OpenAPI/Swagger spec
✗ Has llms.txt or llms-full.txt
✗ Has an MCP server (official or well-maintained)
✗ MCP server listed in a public registry
✓ API reference docs are publicly accessible
✓ Docs include runnable code examples
✓ Has a public changelog or release notes
✓ Has a public status page
Auth & Onboarding 50%

Can an agent create an account and get credentials without human intervention?

✗ Signup does not require CAPTCHA
✗ Signup does not require phone verification
✓ Supports API key auth (not only OAuth)
✗ API key obtainable without manual approval
✓ No mandatory billing info to start
✓ Can sign up without creating an organization
Pricing 100%

Can an agent operate autonomously without upfront payment or contracts?

✓ Has a free tier
✓ Usage-based pricing available
✓ No minimum contract or commitment
✓ Pricing page is public (no 'contact sales')
✓ Free tier sufficient for testing (not just a trial)
Agent Tooling Not yet scored

How well does the API work for non-human consumers?

— SDK available in 2+ languages
— Structured error responses (JSON with error codes)
— Idempotency support on write endpoints
— Pagination on list endpoints
— Webhook/event support
— Sandbox or test mode available
— Rate limit headers in responses
— Consistent REST resource naming
Reliability Not yet scored

Does the tool fail gracefully when an agent makes a mistake?

— Meaningful error messages (not just 500)
— 429 responses include Retry-After header
— Documented uptime SLA (99.9%+)
— Graceful degradation under rate limits
— Request IDs in responses for debugging
— API versioning supported
Reviewer Notes

SurrealDB offers good API documentation and structured query responses, with a free tier and sandbox environment suitable for agent experimentation. However, it lacks an official MCP server and has no programmatic account creation—agents must be provisioned with credentials by humans. The unified query language and multi-model support are strengths for agents, but missing MCP integration and llms.txt reduce discoverability. Reliability is solid for a newer database, though production track record is still being established.

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