Free: 1M context tokens (one-time). Pro: $15/month for 100M tokens/month, $0.18 per extra 1M tokens. Scale: $49/month for 350M tokens/month, $0.15 per extra 1M tokens. 30% off Pro or Scale for the first year for early access teams.
Starter: Free with $100 in credits; Team: $200/mo (annual) or $250/mo (monthly) with $100/mo credits. Usage-based rates: Code Reviews $1.00 per review, x64 Runners $0.002 per vCPU/minute, macOS Runners $0.020 per vCPU/minute, Sandbox vCPU $0.000014 per second, Sandbox Memory $0.0000045 per GiB/secon
Key features
Removes duplicate context and off-topic results
Works with any LLM provider
API and SDK integrations
Quality guard checks if kept context is sufficient
Local cleanup of tool output and JSON fields
Fallback to original context on service failure
Per-agent budgets and token limits
Savings report showing cost avoided
Instant sandboxes that boot in under one second
GitHub Actions runners for x64 and macOS
AI-powered code review on every pull request
Support for Go, TypeScript, and Python SDKs
Git operations including clone, checkout, and diff
Persistent volumes and snapshots
Outbound domain and CIDR allowlists
Pre-built container images
OpenCode integration for AI workflows
Configurable CPU and memory options
What makes it different
Reduces input tokens to LLMs by 56–71% on average
Optimizes in milliseconds without slowing requests
No model or provider changes required
Every removal logged with reason and recoverable
Bare-metal infrastructure for 30% faster performance and up to 60% cheaper than alternatives
Sandboxes boot in under one second, enabling instant isolation for AI agents
AI code review that reads your full codebase and reviews every PR
Drop-in GitHub Actions replacement requiring no configuration changes
Infrastructure built specifically for AI agents to write, run, and ship code
Contextwaise
Tenki