64
/100
prowl
Benchmarked Apr 06, 2026

agentregistry.ai

Agent registry with security and governance features. Curate and approve agents, servers, and skills. Enterprise-focused agent discovery with compliance controls.

aidirectorysecurity platform_profile
Benchmark Your API

Score Breakdown

Latency 9/10
Consistency 8/10
Parseability 8/10
Token Efficiency 7/10
Documentation 6/10
Error Clarity 6/10
Auth Simplicity 4/10
First-Try Success 4/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
Based on the provided information, I'll analyze agentregistry.ai as a platform focused on AI agent governance and enterprise compliance:

```json
{
  "service_type": "platform",
  "base_url": "https://aregistry.ai",
  "auth_method": "none",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {
    "type": "unknown",
    "details": {
      "likely_enterprise_focused": true,
      "probable_subscription_model": "given enterprise target audience"
    }
  },
  "rate_limits": {},
  "capabilities": [
    "agent_curation",
    "agent_approval_workflow",
    "security_compliance",
    "governance_controls",
    "enterprise_agent_discovery",
    "skill_management",
    "server_registry",
    "compliance_reporting",
    "agent_lifecycle_management",
    "access_controls",
    "audit_trails"
  ],
  "raw_analysis": "AgentRegistry.ai appears to be an enterprise-focused platform for managing AI agents with emphasis on security and governance. Unlike typical agent directories that focus on discovery, this platform seems designed for organizations that need to maintain strict control over which agents, servers, and skills are approved for use within their environment. The platform likely provides curation workflows where administrators can review, approve, and manage AI agents before they're made available to end users. Key differentiators include enterprise-grade security features, compliance controls, and governance frameworks that are essential for regulated industries or large organizations with strict IT policies. The platform probably serves IT administrators, compliance officers, and enterprise AI teams who need to ensure that AI agent deployments meet corporate security standards and regulatory requirements. This type of service addresses the growing need for AI governance as organizations scale their agent usage while maintaining security and compliance posture."
}
```
Execute

2/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /200181ms
robots_txtGET /robots.txt20054ms
llms_txtGET /llms.txt40436ms
Interpret
{"multi_model": true, "models_used": ["openai", "claude_cli"], "model_scores": {"GPT-4o": {"overall": 64, "dimensions": {"token_efficiency": 7.0, "first_try_success": 4.0, "response_parseability": 8.0, "error_clarity": 6.0, "doc_quality": 6.0, "auth_simplicity": 3.0, "latency": 9.0, "consistency": 8.0}}, "Claude CLI": {"overall": 67, "dimensions": {"token_efficiency": 7.0, "first_try_success": 4.5, "response_parseability": 7.5, "error_clarity": 6.5, "doc_quality": 7.0, "auth_simplicity": 5.0, "latency": 8.5, "consistency": 7.5}}}, "averaged": true}

Agent Readiness

x402 Payments
Not supported
Streaming
No
Sandbox
None
Agent Auth
Unknown
SDKs
None listed
MCP Support
No

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