Demos are easy. Client work breaks on access.
Run more client AI workflows.
With the right context, access, files and client account every time.
Take me out of the damn API loop.
A company-controlled Mac where your agents work. They start from approved client context, use approved API access without seeing the credential, move real files, and leave an audit trail — without rebuilding API access every time.
No copied keys. No .env files. Wrong-client access blocked.
Create your trial. Download the Mac app. Run your first API proof locally.
Guided setup included · API keys stay local · Cancel anytime
One access setup Workspace approved Runtime allowed secret_exposed:false
Reuse approved API access across the runtimes your team already uses
One approved access layer for Cowork-style sandboxes, Claude Code, Codex, Hermes, and OpenClaw — without rebuilding setup for every platform.
One credential. The right workspace. Any approved agent runtime. secret_exposed:false
Independent tools. Names and logos belong to their respective owners; Outloop is not affiliated with or endorsed by these projects.
The workstation
An agent that finishes client work needs more than a key.
Seven things have to be true for one client task to run end to end. Outloop is the layer that keeps them true.
Illustrative workflow preview — the seven checkpoints and the wrong-client denial are the model Outloop enforces, not a recording of a customer account.
- Context — approved client knowledge, retrieved before work starts.
- Workspace — the agent knows which client it is working for.
- Account — bound to the one account or resource it may touch.
- Access — uses the credential without ever seeing it.
- Files — moves real client files and media through approved paths.
- Audit — every attempt written to a redacted local log.
- Learning — a reviewed lesson improves the next run.
- A request that names the wrong client is denied at the Account checkpoint with RESOURCE_ID_NOT_ALLOWED, before any external system is called.
Stages 01–02
Start with the right context
Before it generates anything, the agent retrieves the approved knowledge for that client — brand rules, the assets it may use, what it must not claim. Work starts informed instead of starting blank.
Stages 03–05
Act through approved access
The workspace is bound to one client account. The agent requests an action, policy checks it, and the credential is used host-side. A request naming another client is denied before any backend call.
Stages 06–07
Close the loop
Allowed and denied attempts are both written to a redacted local audit. A lesson from the run becomes a Context revision only after a human approves it — and it can be rolled back.
Nothing here runs on its own judgement. The agent proposes, policy decides, and a human approves anything sensitive — including every change to what the agent has learned.
Take on more client work without becoming the API setup operator.
Every new client workspace brings agents, skills, service aliases, API permissions, and account IDs. Without Outloop, your team keeps rebuilding access and answering the same question:
Where is the API key?
Outloop turns that into a reusable runtime layer: connect access once, grant it to the right workspace, and let agents request approved access — without ever seeing the raw secret.
More client capacity
Run more AI workflows across client workspaces without starting from zero every time.
Less setup drag
Stop rebuilding API instructions across every agent, folder, and runtime.
Cleaner client boundaries
Every request is checked against the right workspace — and the right account or resource inside it — before access is used.
Better execution
Agents keep working through Outloop instead of asking humans for keys.
Where real client work breaks.
Agents are easy in demos. Real client work breaks on access — the same five ways. Each line links to how Outloop handles it.
- Complex setup — even onceOAuth, developer tokens, customer IDs. Most teams stall here.
setup: once - MCP does not scale cleanly across clientsOne connection is often tied to one account.
access: per-client - Browser automation is fragileSessions expire, selectors break, one login holds everything.
path: approved API - Multi-client access becomes chaosEvery client adds keys, folders, and permissions.
wrong_client: blocked - File and media work need approved accessUpload, move, and organize approved Drive and Shared Drive assets.
files: workspace-pinned
Right accessRight clientsecret_exposed:false
How you reuse API access in 3 steps
Add it once. Approve the workspace. Let the agent use it safely.
Add API access once
Choose a service, select the workspaces that should get access, and store the credential locally on the Mac.
Approve the right workspace
Grant access only to the client workspace that should use it. Each workspace stays isolated.
Let agents use approved access
Connect agent projects, then let approved agents request access through Outloop without seeing the raw key.
secret_exposed:false Keys stay local Workspaces stay scoped Agents request access, not keys
The loop, before and after Outloop.
- Agent asks for a key.
- A human pastes it in.
- The key ends up in chat,
.env, logs, or the wrong client folder. - Every new workspace repeats the same setup loop.
- Agent requests approved access.
- Outloop checks workspace policy.
- The local broker performs the call.
- Only a redacted result returns — the agent keeps working.
That's the API loop. Outloop removes it.
Context
Your agent should already know the client before it starts.
Each client workspace carries its own approved knowledge, and the agent retrieves it before it generates anything. Nothing crosses between clients.
Client A workspace
- Brand rules and tone
- Approved assets and references
- What must not be claimed
Client B workspace
- Its own brand rules
- Its own approved assets
- Its own constraints
Learning is a proposal, not an edit. After a run the agent can suggest a lesson. A person approves, edits, rejects or defers it — and only an approved lesson becomes a new revision, which can be restored. No model training, no self-rewriting, and nothing learned for one client is applied to another.
Built from real agency API workflows.
Outloop was built while running real client-agent workflows across ads, CRM, data, file, reporting, and automation APIs.
The lesson was simple: agencies don't need another place to paste keys. They need one approved access layer that lets agents work across client workspaces safely.
Explore agency API workflowsExample services shown for workflow context. Logos and names are trademarks of their respective owners; no official integration or endorsement is implied.
AI agents are becoming real workers. Real workers need a controlled workplace.
When a company hires a new employee, it gives that employee a computer. We think the AI agent is the new employee — and it also needs one: files, instructions, approved tools, and access to the systems the work actually lives in.
That is the part almost nobody is building. Models keep getting better at deciding what to do. Someone still has to decide what an agent is allowed to do, for which client, with which account.
Read the AI Agency ManifestoKeep your vault. Control runtime access.
Outloop works above Keychain, 1Password, Infisical, Doppler, and other secure backends. It does not replace your vault. It controls which workspace and runtime can use approved access.
- No API keys uploaded to cloud.
- No raw key returned to the agent.
- No .env files required.
- Wrong-client access is blocked before credential use.
Pricing for multi-client agent operations.
Start with the workspace pack that fits your agency today. Upgrade when Outloop becomes part of how your team runs client AI workflows.
Pro
$49/mo Save 18%
5 client workspaces
$9.80 per workspace/month
$8.00 per workspace/month
For solo operators and small dev shops running real agent workflows.
- ✓1 activated Mac
- ✓5 client workspaces
- ✓Up to 10 connected services
- ✓30-day local audit
- ✓Core safety — all included
- ✓Email support
Guided onboarding included · Secrets stay local on your Mac
Agency Growth
$299/mo Save 18%
50 client workspaces
Less than $6 per workspace/month
Less than $5 per workspace/month
For AI agencies managing agents across many client accounts.
Everything in Starter, plus —
- ✓Up to 3 activated Macs
- ✓50 client workspaces
- ✓Up to 75 connected services
- ✓90-day local audit
- ✓Priority support
- ✓Core safety — all included
Add-ons: +10 workspaces $60/mo (max 3) · +1–2 extra Macs $29/mo each (max 2)
Guided onboarding included · Secrets stay local on your Mac
Custom
100+ client workspaces
For teams that need 100+ workspaces, more Macs, a security review, DPA, PO/invoicing, advanced controls, or future self-hosted options.
- ✓100+ client workspaces
- ✓More activated Macs
- ✓More connected services
- ✓Longer audit history
- ✓Core safety — all included
Advanced controls · security review · DPA · PO/invoicing · future self-hosted options
Agency Starter ($139/mo, 20 workspaces) and Agency Scale ($499/mo, 100 workspaces) are on the pricing page.
Prefer annual? Billed yearly saves 18% — see all plans.
Secrets always stay local.
Plans are based on activated Macs, client workspaces, and connected services. Outloop cloud never receives raw API keys, tokens, .env contents, Authorization headers, or secret-bearing files.
Send us one real agent workflow. We'll show you where access will break.
A 15-minute MCP / API / file-access teardown of one workflow you actually run — where your agents run, which client workspaces they touch, and where the access will fail first.
Ready to start right away? Start your 14-day guided trial → It begins on Outloop Cloud (account & license only); your API keys stay local on your Mac.
✓ We never ask you to paste secrets into this form.
In the teardown, we map:
Built for agent workspaces like:
Independent tools. Names and logos belong to their respective owners; no official integration is claimed.
Book your 15-minute access teardown
Guided onboarding included · We reply by email · No card needed to talk to us
Or start the 14-day guided trial nowGuided onboarding · Secrets stay local · We never ask you to paste secrets into this form.
Do not paste API keys, passwords, Bearer tokens, Authorization headers, .env contents, or other secrets into this form.
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We will review your workflow and contact you at about your guided trial and onboarding. Do not send API keys or secrets by email.
Got questions? We have answers.
Ready to get out of the API loop?
Run more client AI workflows without rebuilding API access every time.
Connect API access once and reuse it across every client workspace — instead of rebuilding setup for each new one.
For agencies and operators managing 5 to 100 client workspaces.