Free plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments.
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
Managed Skills with instant deployment to all agents
Agent observability and debugging across all decisions
Globally distributed inference with low latency
Safety guardrails and agent evaluation
Multi-agent orchestration with stateful memory
Centralized security and access control
Support for multiple frontier LLM models
Real-time cost and performance insights
Agent Insights dashboard
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
Ship agent improvements in minutes instead of release cycles
Centralized skill management without requiring redeploy
Complete visibility into agent decisions for fast debugging
Proven safe releases with guardrails before production
No infrastructure expertise required to deploy agents at scale