API quality
Clear resources and actions, predictable inputs and outputs, and stable response patterns that make automation discoverable and composable.
Manual self-assessment for agent readiness
Score your product with a structured manual assessment for AI-agent usability.
AgentGrade does not crawl, test, or verify your product automatically. It helps you create a structured manual score using your own evidence from docs, testing, references, and operational knowledge.
- Use one assessment form to review API quality, auth, safety, docs, events, rate limits, recovery, and MCP readiness
- Keep the score grounded in your own notes, links, and evidence
- Create a clear internal summary of what is strong, weak, or still unproven
This public version is a structured self-assessment tool. Results reflect the manual scores and evidence entered by the user, not an automatic review by AgentGrade.
Problem
Many products sound “AI-ready” before anyone has reviewed the real workflow evidence.
A landing page can say “AI-powered.” An API can exist. Docs can look polished. That still does not mean an AI agent can actually use the product end to end.
Teams usually find the gaps too late:
- auth flows that break automation
- unclear or incomplete action docs
- unsafe write operations with no guardrails
- no sandbox or demo environment to test against
- missing webhook or event support
- rate limits and error responses that kill long-running workflows
AgentGrade gives you a structured way to assess those risks manually before you waste cycles on assumptions.
Interactive self-assessment
Enter your own evidence and generate a structured manual score
Review one product surface at a time, enter manual category scores, add evidence notes, and generate a summary that clearly reflects user-provided assessment inputs.
No assessment yet
Your AgentGrade summary
Start with a blank form or load the clearly labeled demo sample to see how a manual assessment summary looks.
Results on this page are based only on the scores, confidence levels, and evidence notes entered by the user.
Assessment categories
The areas you should review when judging whether agents can really use a product
Auth model
Automation-friendly auth, practical scopes, and less friction than brittle manual login flows.
Action safety
Safe defaults for write actions, confirmation patterns where needed, and clear safeguards for high-impact operations.
Docs clarity
Docs an agent builder can actually implement from: endpoints, parameters, examples, and error cases without hidden assumptions.
Webhook / event support
Useful events for reactive workflows so agents do not need to poll everything blindly.
Sandbox / demo availability
A safe place to test and trial flows without risky production access.
Rate limits
Limits that allow real usage patterns and enough clarity for teams or agents to adapt behavior.
Error recovery
Structured errors and retry-friendly responses that help an agent recover instead of fail permanently.
MCP readiness
Signs your product can plug into emerging agent ecosystems for tool-based use, not just one-off demos.
How it works
A manual workflow for structured agent-readiness review
Choose the scope
Add the product URL, docs, or workflow you want to assess manually.
Enter scores and evidence
Review API structure, auth, safety, docs clarity, event support, sandbox availability, error handling, and MCP readiness using your own notes and references.
Generate the summary
See the score, category breakdowns, missing capabilities, and blockers derived from your manual inputs.
Prioritize fixes
Use the output to improve the specific parts of your product that matter most for AI agents.
Why this matters
If agents are part of your roadmap, honest assessment becomes a product surface.
AI agents do not work around product friction the way humans do. They fail on unclear auth, vague docs, unsafe actions, weak recovery paths, and missing system feedback.
AgentGrade helps you turn those observations into a consistent manual review instead of vague optimism.
- Reduce friction for internal agent projects
- Make your API easier for external builders to adopt
- Spot trust and safety gaps before broad rollout
- Prioritize improvements with clearer signal
- Create a reusable assessment pattern for future releases
What AgentGrade is — and what it is not
A structured self-assessment tool, not an automatic product auditor.
- a practical manual readiness assessment
- a structured way to capture evidence and scoring rationale
- a lightweight summary generator you can act on quickly
- a clear review format for product and platform teams
AgentGrade is not a crawler, an automatic analyzer, a generic security audit, a formal certification, or a guarantee that a submitted product was independently reviewed by the site itself.
Run a truthful manual review.
Start a self-assessment and document how usable your product appears for AI agents.
Blank by default. Demo only on request. Results reflect user-entered evidence and scoring.