Proxy LayerKeep your API keys out of agents
API Proxy

Let agents actwithout handingover the keys.

Agent control planePreview
caller
Open Claw Agent
proxy
Loggie.ai
upstream
Linear API
audit logsallow / deny / error
discoveryroutes + params

Loggie.ai is an API proxy for AI agents. It sits between your agents and your APIs — scoping access, restricting endpoints, logging every call, and asking a human for approval when it matters.

01
Scoped agent profiles
02
Constrained endpoints
03
Full decision logs
How It Works

Loggie.ai sits between your agent and the API.

Your agent calls Loggie.ai first. Loggie.ai makes the real API call.

Key wall

The upstream token never reaches the agent.

Response filter

Filter payloads before they return.

Transaction path
Three steps
Live previewagent token
01agent token
Caller
Agent sends request
02credential swap
Proxy
Key swap
03filtered return
Upstream
Safe data returns
01Caller
agent token

Agent signs in with its own token

Your runtime calls Loggie.ai with a token created for the agent, not with the upstream credential.

02Proxy
credential swap

Proxy exchanges credentials in the middle

Loggie.ai evaluates the route, swaps to the upstream PAT, and forwards only the request shape you permit.

03Upstream
filtered return

Upstream responds through a policy gate

Responses flow back through the proxy, where sensitive fields can be removed before the agent sees any payload.

Features

More than a key swap.

Keys, rules, limits, discovery, and logs in one place.

One layer

Policy and logging live in one runtime.

Safe access

Agents see only what you allow.

Agent Profiles

Give each agent its own key.

Make, pause, rotate, or remove access for one agent at a time.

Access Policy

Set simple allow and deny rules.

Choose what agents can read, write, or never touch.

Rate Limits

Slow things down before they spike.

Set limits by agent or service before usage gets out of hand.

Audit Log

See what happened on every call.

Track status, rule, and timing in one log.

Discovery

Show agents what they can use.

Let agents look up routes and params before they call them.

Audit Logs

See every call.

Log every allow, deny, error, and slow call.

Call log

Every proxy result.

Rule used

See which rule won.

Latency

See timing.

live logcall list
15:42:11allowed
GET/issues
15:42:14denied
POST/issues
15:42:18rate_limited
GET/teams
15:42:22allowed
GET/issues/ISS-482
call detailactive row
Result
allowed
Status
200
Method
GET
Latency
184ms
Path
GET /issues
Rule
GET /issues
Reason

classified read endpoint

Human Approval

Ask before an agent makes a risky change.

Pause the action, ask in Slack, then approve or deny.

Approval steps
Agent requests a write action

Open Claw wants to post an update.

02
Loggie.ai pauses execution

Loggie.ai stops and waits.

03
Slack message is sent

Slack asks a person to approve it.

04
Execution resumes or stops

Approve runs it. Deny blocks it.

Slack approval
pending_human_approvalPOST /slack/chat.postMessage
Slack DM
Approver: platform ops
waiting

This change is waiting for approval.

agent: open-claw
action: POST /issues/ISS-482/comments
workspace: acme-product
reason: needs approval
Approve
Deny
Trigger

A risky change starts.

Channel

Slack alerts a person.

Outcome

Approve runs it. Deny stops it.

Scope Control

Set clear rules for each route.

Set defaults, then add allow or deny rules.

service: linearRules
allow:
- GET /issues
- GET /issues/:id
- GET /teams
deny:
- POST /issues
- DELETE /issues/:id
- PATCH /issues/:id
attempt logupdates every 2s
Field-Level Redaction

Clean the response before the agent sees it.

Remove PII, notes, or full fields before sending data back.

Linear -> Loggie.ai
{
  "id": "ISS-482",
  "title": "Fix onboarding drop-off",
  "assignee": { "email": "alex@company.com", "phone": "+1-555-0133" },
  "priority": "high",
  "internalNotes": "legal flagged this - do not ship until review",
  "createdAt": "2026-04-12T18:11:22Z"
}
Loggie.ai -> Open Claw
{
"id": "ISS-482",
"title": "Fix onboarding drop-off",
"assignee": {
"email": "alex@company.com",
"phone": "+1-555-0133"
},
"priority": "high",
"internalNotes": "legal flagged this - do not ship until review",
"createdAt": "2026-04-12T18:11:22Z"
}
FAQ

Frequently asked questions.

How teams use Loggie.ai to give agents API access without giving up control.

How do I give an AI agent access to an API without sharing my API keys?

Put a proxy between the agent and the API. With Loggie.ai, your real API keys stay on the proxy — each agent gets scoped credentials, and every call is checked against your rules, logged, and can be held for human approval before it reaches the upstream API.

What is an API proxy for AI agents?

An API proxy for AI agents is a control layer that sits between an agent and your upstream APIs. It enforces which endpoints the agent can call and with which parameters, filters what data comes back, and keeps a full audit log of every request and decision.

Can I require human approval before an agent calls an API?

Yes. Loggie.ai supports human-in-the-loop approvals: you choose which endpoints or actions need sign-off, and the agent's request is held until a human approves or denies it. Every decision is recorded in the audit log.

How do I restrict which endpoints an AI agent can call?

Each agent gets a scoped profile in Loggie.ai that allows specific routes and parameters. Anything outside the profile is denied by default, and denials show up in the logs so you can see what the agent tried to do.

What gets logged when an agent makes a request through Loggie.ai?

Every call is logged with the caller, the upstream endpoint, the parameters, the allow / deny / error decision, any approval that was requested, and what response filtering removed. You get a complete decision trail for every agent action.

Does Loggie.ai work with MCP servers and agent frameworks like Open Claw?

Loggie.ai is framework-agnostic. It proxies plain HTTP API calls, so any agent that can point its API base URL at the proxy works — including agents built on MCP, Open Claw, or custom frameworks.

Initialize

Start using Loggie

Create an account, connect your first API surface, and give agents scoped access without exposing your API keys.

// free during alpha phasequestions? hello@loggie.ai
Who it's for

Teams giving agents live API access.

Get started

Create an account and configure scoped API access.

Need help?

Bring your upstream APIs, rules, and approval flow.