Archal gives coding agents and integration engineers isolated, stateful sandboxes for the APIs they actually ship against, including GitHub, Slack, Stripe, Datadog, Linear, Jira, HubSpot, Supabase, Sentry, and about twenty more services accessible over REST or MCP. Each sandbox behaves like the real service, holds state across tool calls, and resets to a known baseline in milliseconds, which removes the usual friction of maintaining test accounts, hitting third-party rate limits, or debugging flaky mocks that drift from production behavior.
The launch matters now because agent teams are moving from demos into CI and evals, where a run that mutates a real Slack workspace or Stripe account is a real problem. Archal targets three concrete workflows: harness testing where changes persist across an agent's tool calls, per-branch integration testing without shared accounts, and reinforcement learning rollouts that start from an identical state every episode. It plugs into Braintrust, LangSmith, or a custom eval stack, and works with coding agents like Codex, Claude Code, and Cursor.
Archal is part of Y Combinator's Summer 2026 batch, founded by Aidan Tiruvan and based in San Francisco with a team of two. New accounts get twenty dollars of usage credit to try it, with additional credits available for startups doing heavier QA.
Comments (8)
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K
Kwesi BoatengAug 24, 2026
Finally, an eval harness that doesn't require me to mock Slack with 400 lines of jest fixtures. If the reset actually resets cleanly I'll throw a party.
P
Priya N.Aug 24, 2026
The demo cuts feel a little too smooth around the Linear state diff. Is that live or did the editor do some heavy lifting between takes?
K
Kwesi BoatengAug 24, 2026
Also curious how you handle rate limits inside the sandboxed Slack, because that's where every fake-Slack project I've tried face-plants.
L
Lena BurchakAug 24, 2026
Tagline rewrite, on the house: 'Give your agents a staging world they can't break in prod.' Yours is fine, mine slaps harder.
T
tomoeAug 24, 2026
Two founders and 20+ integrations? Either you cloned yourselves or you're each running six coding agents in a trench coat.
R
Rafael OrtizAug 24, 2026
Sandboxes are cute but the real question is whether teams keep paying after the honeymoon eval sprint. What does month-three usage look like?
A
Amara OkaforAug 24, 2026
Roadmap idea: let me record an agent's sandbox session and replay it as a regression test in CI. Basically Storybook for agents.
Y
Yusuf DemirAug 24, 2026
Any chance you'd share which integration was hardest to make stateful? Feels like a good thread for a piece I'm sketching on agent infra.
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Archal × YC
API sandboxes built for AI agents
API sandboxes built for AI agents
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Archal gives coding agents and integration engineers isolated, stateful sandboxes for the APIs they actually ship against, including GitHub, Slack, Stripe, Datadog, Linear, Jira, HubSpot, Supabase, Sentry, and about twenty more services accessible over REST or MCP. Each sandbox behaves like the real service, holds state across tool calls, and resets to a known baseline in milliseconds, which removes the usual friction of maintaining test accounts, hitting third-party rate limits, or debugging flaky mocks that drift from production behavior. The launch matters now because agent teams are moving from demos into CI and evals, where a run that mutates a real Slack workspace or Stripe account is a real problem. Archal targets three concrete workflows: harness testing where changes persist across an agent's tool calls, per-branch integration testing without shared accounts, and reinforcement learning rollouts that start from an identical state every episode. It plugs into Braintrust, LangSmith, or a custom eval stack, and works with coding agents like Codex, Claude Code, and Cursor. Archal is part of Y Combinator's Summer 2026 batch, founded by Aidan Tiruvan and based in San Francisco with a team of two. New accounts get twenty dollars of usage credit to try it, with additional credits available for startups doing heavier QA.
Comments (8)
Finally, an eval harness that doesn't require me to mock Slack with 400 lines of jest fixtures. If the reset actually resets cleanly I'll throw a party.
The demo cuts feel a little too smooth around the Linear state diff. Is that live or did the editor do some heavy lifting between takes?
Also curious how you handle rate limits inside the sandboxed Slack, because that's where every fake-Slack project I've tried face-plants.
Tagline rewrite, on the house: 'Give your agents a staging world they can't break in prod.' Yours is fine, mine slaps harder.
Two founders and 20+ integrations? Either you cloned yourselves or you're each running six coding agents in a trench coat.
Sandboxes are cute but the real question is whether teams keep paying after the honeymoon eval sprint. What does month-three usage look like?
Roadmap idea: let me record an agent's sandbox session and replay it as a regression test in CI. Basically Storybook for agents.
Any chance you'd share which integration was hardest to make stateful? Feels like a good thread for a piece I'm sketching on agent infra.