What it sells
API sandboxes, built for AI agents
Business model breakdown
Buyer: who owns the budget?
Agent developers, connector/integration teams and engineering leads (self-serve).
Trigger: what makes them buy now?
Testing agents against real APIs hits rate limits, shared test accounts and dirty state.
Workflow: what inputs become what output?
Create a sandbox with stateful simulated environments (GitHub, Slack, Linear, Stripe etc.), get REST/MCP endpoints, call, inspect state and reset to baseline in CI, harness testing or RL rollouts.
Economics: what it saves and how it charges
Usage-based credits; sandboxes provision in about 690 ms and reset in about 245 ms.
Distribution: how it reaches customers
Self-serve signup via CLI/coding-agent setup prompt plus "Book a call".
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2026 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.