Serverless sandboxes that bill only for the seconds your agent's code runs
Agent optimization layer that automatically optimizes agent workloads to extend context windows and reduce costs
Stage
MVP
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Founded
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Based in
MX
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Pricing model
Freemium
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Pricing
Shark Pro $5/month includes $5 of usage; Shark Studio $25/month includes $25; Shark Scale $100/month includes $100. Commands run at $0.12 per compute-hour, billed per second only while running. Services: 2 vCPU / 2 GiB at $0.03/h; 4 vCPU / 4 GiB at $0.06/h. Storage $0.08/GiB-month with first 5 GiB f
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Key features
Persistent Space for agent files and databases
Pay only for compute time while command runs, not idle or thinking time
HTTP API with Python and TypeScript SDKs
CLI for devbox with Claude Code and Codex support
Sleeping services that wake in milliseconds
Fork Spaces fast without booting VM
API key isolation outside VM with egress proxy
Fast file search with sharkfn 300–600× faster than ripgrep
Integration with LangChain, LangGraph, smolagents, and Prefect
Automatically removes redundant and stale context from agent workflows in real time
Reduces token usage by 37–67% across agent workloads
Maintains baseline pass rates and success rates without code changes
Extends context windows for longer-running workflows
Zero code changes required for integration
Continually monitors and learns agent workloads
What makes it different
Billing only for seconds code actually runs, not idle or thinking time
Lowest cost compared to alternatives for agent infrastructure
Persistent Storage with fast Space fork and file access without VM boot
No GPU required, works with unmodified existing agent harnesses
Sleeping services wake in milliseconds with zero idle billing
Reduces agent inference costs by 37–67% while maintaining the same success rates
Works transparently with zero code changes required
Focuses optimization on removing wasted tokens while keeping success rates high
Enables teams to take on more ambitious problems with the same resources
Induction