Govyn vs Usefy
Feature comparison
| Feature | Govyn | Usefy |
|---|---|---|
| Architecture | Self-hosted proxy | Cloud SaaS platform |
| Budget enforcement | Real-time, proxy-level | Dashboard alerts |
| Policy-as-code (YAML) | ||
| Data stays on your infra | ||
| Cost analytics dashboard | Basic | |
| Usage-based billing tools | ||
| Model restrictions | ||
| Rate limiting | ||
| Approval workflows | ||
| Full replay logging | ||
| PII redaction | ||
| Open source | ||
| Setup time | 5 minutes | Minutes (SaaS) |
| Pricing | Free (self-hosted) | Usage-based SaaS |
Architecture comparison
Sits between agent and provider at the HTTP level. Agents never see real API keys. No code changes required.
Cloud-hosted service with dashboard and agents.
When to use Usefy
Usefy is a good choice when you want polished usage analytics and cost dashboards without managing any infrastructure yourself. If your primary need is understanding how your team uses AI models — tracking usage patterns, identifying optimization opportunities, and generating cost reports — Usefy's SaaS dashboard provides that out of the box. It's also useful if you need to build usage-based billing for your own AI products, as it provides tools for metering and invoicing that go beyond what a governance proxy offers.
When to use Govyn
Govyn is the better choice when you need to enforce governance rules in real time rather than just monitor after the fact. Usefy shows you what happened; Govyn prevents what shouldn't happen. With Govyn, budget limits and model restrictions are enforced at the proxy level before requests reach the provider — agents physically cannot exceed their limits. Additionally, Govyn is self-hosted and open source, meaning your data never leaves your infrastructure. For teams with compliance requirements, data residency concerns, or the need for hard enforcement over soft monitoring, Govyn provides guarantees that a SaaS analytics platform cannot.
Try Govyn in 5 minutes
Open source, MIT licensed. One command to start governing your AI agents.
Other comparisons
A lightweight SDK library for tracking and limiting AI agent spending with in-code budget decorators and alerts.
A developer observability platform for AI agents with automatic tracing, session replay, cost tracking, and a cloud-hosted dashboard.
A full-stack observability platform with logs, metrics, traces, and an AI Center for LLM call tracing, evaluation, cost analytics, and AI security posture management.
Explore more
How smart model routing through a proxy cut our OpenAI and Anthropic bill from $2,140/mo to $578/mo. Zero code changes. Just YAML.
INTEGRATIONAdd budget controls and policy enforcement to CrewAI multi-agent crews using OpenAI. Govern every agent in your crew independently.
POLICY TEMPLATESet daily and monthly spending limits for AI agents. Prevent runaway costs with hard budget caps enforced at the proxy level.
POLICY TEMPLATEMaintain complete audit trails for AI agent operations. Log every request, response, and policy decision for regulatory compliance.