Research-backed education and tools for securing autonomous AI agents
Web infrastructure for AI agents
Stage
Startup
Not given
Founded
2025
Not given
Based in
US
US
Pricing model
Paid
Not given
Pricing
Not given
Free: 1,000 credits/month, no card; Builder: $49/month for 10,000 credits; Pro: $199/month for 50,000 credits; Scale: $799/month for 250,000 credits. Enterprise with custom terms available. Credits cost approximately $0.0032-$0.0049 per page, $3.20-$4.90 per 1,000 pages, or about $0.19-$0.29/hour of
Key features
AgentGuard360 dashboard and Agent Proxy Tool Interface
Supply chain protection blocking 11,000+ known malicious pip and npm packages
14-phase device hardening scans with predictive risk analytics
Machine-learning-aided runtime scanning of agent content
Jailbreak detection and prompt injection prevention
Privacy-first architecture keeps data on device by default
500+ model pricing with budget tracking
Protection SDK with single function call content scanning
Learning Center with guides, how-tos, and CVE analysis
Original research on agentic AI and LLM cost optimization
Scrape: Convert any web page into clean markdown or structured JSON
Crawl: Fetch every page on a site from a single link and receive results as they are ready
Search: Query the web with top results already read and parsed
Browsers: Real browser instances in the cloud controlled via Playwright, Puppeteer or SDK
Agents: Autonomous task execution in a real browser with plain English descriptions
Session recordings: Every browser session is recorded for debugging and verification
Monitor: Watch pages on a schedule and receive notifications when content changes
Saved logins: Store credentials securely for agent runs requiring authentication
MCP integration: Connect to Claude Code, Codex or Cursor with one command
Real browser handling: Sites treat agents as humans so pages load and sessions persist
What makes it different
No PhD in security required to protect AI agents
Free resources and research with optional paid tools