Quantstruct Agent Native Score | Agent Native Registry

Checklist Breakdown

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Discovery 25%

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

Quantstruct lacks critical agent discovery infrastructure—no published OpenAPI spec, MCP server, or llms.txt file. While the platform offers a free tier and sandbox environment (strengths for experimentation), account creation requires email verification and web-based signup, preventing autonomous agent onboarding. The API documentation exists but is web-based rather than machine-readable, making integration difficult. The trading/backtesting use case is valuable, but agent adoption is severely hampered by missing machine-readable specs and structured authentication flows.

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