Edge

Agent Tooling

Agent Access Codes

Scoped credentials that let AI agents deploy and manage your infrastructure within defined limits.

Overview

Agent Access Codes are separate from API keys. They're designed specifically for AI agents with built-in scoping for products, permissions, and budgets.

Format: ea_live_{random_64_hex}
Example: ea_live_7f3a9b2c4d5e6f1a8b9c0d1e2f3a4b5c...

Agent codes are shown once at creation. Store them securely. If lost, revoke the old code and create a new one.

Creating an Access Code

  1. Navigate to Account → Agent Access in the user menu
  2. Click Create Agent Code
  3. Enter a descriptive name (e.g., "Cursor Agent", "CI/CD Deploy")
  4. Select which products the agent can access
  5. Choose permissions (Deploy, Manage, Delete)
  6. Optionally set a budget cap with soft or hard enforcement
  7. Copy the generated code immediately

Scoping

Products

Control which Edge products the agent can access:

Compute

VMs, scaling

CDN

Deployments, domains

Storage

Buckets, uploads

DNS

Zones, records

Permissions

Permission Allows
Deploy Create resources, upload files, deploy applications
Manage View, update, and manage existing resources, check health
Delete Delete resources and teardown projects

Budget Caps

Set a monthly spending limit for the agent:

Soft Cap

The agent receives a warning when approaching the limit but can continue operating. Useful for flexibility with awareness.

Hard Cap

The agent is blocked from creating new resources once the limit is reached. Useful for strict cost control.

Authentication

Pass the agent access code as a Bearer token:

GET https://edge.network/agent
Authorization: Bearer ea_live_7f3a9b2c4d5e6f1a...

Managing Codes

  • Edit — Update the name, products, permissions, and budget cap at any time
  • Revoke — Immediately invalidate a code. Agents using it will lose access instantly
  • Last used — See when each code was last used to identify inactive codes
  • Multiple codes — Create separate codes for different agents or environments

Best Practices

One code per agent

Use separate codes for each AI tool (Cursor, CI/CD, etc.) for clear audit trails

Least privilege

Only enable the products and permissions the agent actually needs

Set a budget cap

Even a generous soft cap gives you visibility into agent spending