Lyra

48
Fair
Agent Native Score

Lyra is a full-text search engine and vector database built for JavaScript/TypeScript that enables fast, AI-powered search with semantic understanding. It provides local-first search capabilities with support for embedding vectors and traditional text indexing.

Categories: Search · Database · Ai
#9 of 23 in Search · #17 of 75 in Database · #2 of 20 in Ai
Checklist Breakdown

0 of 33 checks passed.

This score can improve.

Get verified — we'll test your API hands-on and score all 33 checks. Most tools see a significant score increase.

Discovery 35%

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 Not yet scored

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 Not yet scored

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 Requires account 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 Requires account 35%

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

Lyra is a library rather than a service, which is both a strength and weakness for agents. Strength: no authentication required, can be used immediately as an npm package with TypeScript/JavaScript tooling support. Weakness: lacks MCP server, OpenAPI spec, or service-level documentation—discovery requires reading GitHub docs and source code. Agents would need to integrate it as a code library rather than call an API endpoint, limiting autonomous usage patterns. Reliability information is sparse; unclear rate limits or SLA guarantees apply since it's a local library.

Top 10 Lists
Top 10 Database →

Is this your tool?

Get verified to unlock the full 33-check evaluation — we'll create an account, test your API, and score every check.
See how agents are discovering tools like yours.

Let your agents find tools like Lyra

Install the Agent Native Registry MCP server. Your agents can search, compare, and score tools mid-task.

claude mcp add --transport http agent-native-registry https://agentnativeregistry.com/api/mcp