The best Arcade alternative for ad-account automation in 2026
Arcade's argument is one most teams arrive at eventually: an agent should act as the authenticated user, inside the intersection of what that user and that agent are permitted to do, with policy enforced outside the model where a prompt cannot undo it. We agree with all of that — our MCP layer is built the same way. The difference is scope: Arcade is a general control point across your whole stack, and we are a control point plus a working agent for ad and analytics operations.
Where the two genuinely agree
- Permission decisions live outside the conversation. What a key may do is set by the organization, not by whoever is prompting.
- Scoped, per-user authorization rather than one broad service account with everything switched on.
- Writes are governed and auditable, so "who changed this" has an answer.
- MCP as the interface, so the agent you already use is the agent that calls the tools.
Where they diverge
| Arcade | Agent Planners | |
|---|---|---|
| Breadth | General — thousands of permission-aware tools across your stack | Ad, analytics and publisher platforms |
| Who plans the work? | Your agent | Ours, or yours over MCP — your choice of mode |
| Domain guardrails | Policy you define | Change caps, protected campaigns and spend ceilings, built in |
| Domain knowledge | Not its job | Knows a search term report from a placement report |
| Deliverables | Not its job | Scheduled reports, dashboards, threshold alerts |
How to choose
If your problem is governing agent actions across an entire enterprise — CRM, ticketing, internal systems, ad platforms among them — a general actions runtime is the right shape, and ours is not a replacement for it.
If the agent work you actually need is ad and analytics operations, a general control point still leaves you writing the ad-ops agent. We ship that part, with the permission model already built to the same principle.
Frequently asked questions
- What is the best Arcade alternative?
- For governing agent actions across an entire enterprise stack, Arcade's general actions runtime is the right category and we don't replace it. For ad and analytics operations specifically, Agent Planners applies the same permission principles and also ships the agent that does the work.
- Does Agent Planners enforce policy outside the model?
- Yes. A key's mode and scopes are set by the organization, and writes pass the autonomy guardrails in strict mode regardless of what a conversation asks for. An instruction inside a prompt cannot widen a scope it was never granted.
- Can I use both?
- Yes — they are different scopes. A team standardising agent governance across many systems can still connect Agent Planners over MCP for the ad-ops half.