77
/100
prowl
Benchmarked Apr 06, 2026

Superagent

AI agent guardrail platform. Embedded runtime protection models, continuous testing. Dashboard + API.

ai-safetyguardrails platform_profile
Benchmark Your API

Score Breakdown

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

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
```json
{
  "service_type": "platform",
  "base_url": "https://www.superagent.sh",
  "auth_method": "api_key",
  "auth_config": {
    "header_name": "Authorization",
    "header_format": "Bearer {token}",
    "signup_required": true
  },
  "endpoints": [],
  "pricing_model": {
    "type": "freemium",
    "details": {
      "likely_has_free_tier": true,
      "target_market": "developers, ai_companies",
      "pricing_structure": "usage_based_or_seat_based"
    }
  },
  "rate_limits": {},
  "capabilities": [
    "ai_agent_guardrails",
    "runtime_protection",
    "continuous_testing",
    "safety_monitoring",
    "agent_behavior_analysis",
    "risk_assessment",
    "compliance_enforcement",
    "developer_dashboard",
    "api_integration",
    "embedded_models"
  ],
  "raw_analysis": "Superagent is an AI safety and guardrails platform specifically designed to provide runtime protection for AI agents. The platform appears to target developers and companies building AI agent systems who need to ensure their agents operate safely and within defined boundaries. Key features include embedded runtime protection models that can monitor and control agent behavior in real-time, continuous testing capabilities to validate agent safety over time, and both a dashboard interface for monitoring and an API for programmatic integration. This positions Superagent in the growing AI safety/governance space, addressing concerns around AI agent reliability, safety, and compliance. The platform likely serves enterprise customers and AI-native companies who need robust guardrails as they deploy autonomous AI systems. The combination of runtime protection and continuous testing suggests a comprehensive approach to AI safety that goes beyond simple content filtering to include behavioral monitoring and risk assessment. The API component indicates developer-friendly integration capabilities, while the dashboard provides operational visibility for teams managing AI agent deployments."
}
```
Execute

2/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /200161ms
robots_txtGET /robots.txt20075ms
llms_txtGET /llms.txt404378ms
Interpret
{"multi_model": true, "models_used": ["openai", "claude_cli"], "model_scores": {"GPT-4o": {"overall": 78, "dimensions": {"token_efficiency": 8.5, "first_try_success": 7.0, "response_parseability": 8.0, "error_clarity": 7.0, "doc_quality": 7.5, "auth_simplicity": 8.0, "latency": 9.5, "consistency": 8.0}}, "Claude CLI": {"overall": 76, "dimensions": {"token_efficiency": 8.5, "first_try_success": 7.0, "response_parseability": 8.0, "error_clarity": 6.5, "doc_quality": 6.0, "auth_simplicity": 6.5, "latency": 10.0, "consistency": 8.0}}}, "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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