
Design, test, and govern APIs — now with AI agents in the loop
API Governance records 0 monthly visits with 0% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing pricing. Openlayer records 48,415 monthly visits with -6.4% growth and Freemium, Contact for Pricing pricing.

Automated AI reviews that keep APIs on industry standards
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | apigovernance.dev | openlayer.com |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 0 (0) | 48.42K (48,415) |
| MoM Traffic Delta | 0 (0%) | -3.3K (-6.4%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (44.1%) |
| Direct Visits / mo | 0 | 25.94K |
| User Rating | 4.1 | 4.4 |
| Supported Platforms | Website | Website |

Automated AI reviews that keep APIs on industry standards
Automated reviews surface critical API design and implementation problems before they reach consumers, using the vendor's curated API Governance Top-10™ checklist.
The underlying model was trained on roughly 10,000 public APIs, so recommendations reflect patterns observed across a wide range of real-world APIs.
Growth plans add CI/CD and GitHub Actions integration, letting reviews run automatically as code changes land rather than as a manual pre-release step.
Generated reports and badges give internal stakeholders and partners a consistent signal that an API meets a defined standard.
AI governance, testing, and observability for regulated enterprises
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.

Design, test, and govern APIs — now with AI agents in the loop
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