# Peeve vs Decagon

Canonical: https://peeve.ai/vs/decagon/

Decagon builds enterprise AI support agents that resolve conversations using your knowledge and workflows, sold to large CX teams through a hands-on motion. Peeve is a full in-product support agent that resolves the requests users get stuck on by moving through your real interface: it shows the user the control, clicks it, and takes backend actions with confirmation, from $40/month, self-serve. Decagon's strength is enterprise conversation depth: agents tuned to your knowledge and support workflows at scale, in many languages. Peeve's strength is in-product motion and self-serve setup for the navigational questions asked inside a product.

| | Decagon | Peeve |
|---|---|---|
| Surface | Chat, email | Cursor inside your product |
| Resolves by | Describing, workflows | Showing, doing, describing |
| Acts in your UI | No | Yes, moves the cursor and clicks |
| Backend actions | Via workflows | Yes, with a confirm step |
| Knowledge freshness | Your knowledge and workflows | Live interface, each session |
| Languages | Broad, many languages | English-focused today |
| Pricing public | No, sales-led | Yes, from $40/mo |
| Setup | Hands-on onboarding | An afternoon, snippet plus crawl |
| Security & compliance | Enterprise, sales-led | Audit logs, role-based access; SOC 2 Q1 2027 |
| Serves users' agents | No | Yes, over scoped MCP |

## Workflow-tuned conversation versus in-product motion

Decagon tunes an agent to a large support operation's knowledge and processes, resolving conversations across chat and email with enterprise depth. Peeve does not model your support workflows; it reads your live product and resolves the request a user is stuck on by moving the cursor to the control and clicking it, then can take the backend action behind a confirmation. One is deep in the conversation, the other deep in the UI.

## Sales-led enterprise versus self-serve

Decagon is sold hands-on and supports many languages, which fits a large multilingual CX team. Peeve publishes plans from $40/month, installs in an afternoon, and is English-focused today. Where multilingual, workflow-tuned conversational depth is the requirement, Decagon is the fuller fit; where fast, in-product resolution is the goal, Peeve is.

## How they stack

For a large team the two are complementary. Peeve resolves support requests end to end inside your product and escalates only what needs a person with the session attached, so Decagon's agent handles the conversational volume that genuinely needs its knowledge and workflows, rather than the in-product requests Peeve already resolved.

## Is Peeve a Decagon alternative?

For in-product resolution, yes, and self-serve with public pricing. Decagon builds an enterprise agent from your knowledge and workflows; Peeve installs into your product and resolves the requests users get stuck on by showing and doing. Decagon is deeper in conversation; Peeve acts in the UI.

## Does Peeve need a sales process like Decagon?

No. Peeve is self-serve: public pricing from $40/month and a 14-day trial with no card and no call. Decagon is sold hands-on to enterprise teams, so the comparison is per in-product question resolved, not total contract value.

## How is Peeve different from Decagon?

Decagon tunes an agent to a large operation's knowledge and processes across many languages, a sales-led enterprise deployment. Peeve installs itself and resolves navigational questions inside the product by motion, before they become tickets. For in-product support you can stand up yourself, Peeve is the tool.

## Does Decagon support more languages than Peeve?

Yes. Decagon is multilingual, while Peeve is English-focused for now. For a multilingual support operation, Decagon is the stronger fit and Peeve does not claim parity there.

## Can Peeve and Decagon run together?

At scale, yes. Peeve resolves support requests end to end inside your product and escalates only what needs a person, so Decagon's agent handles the conversations that need its knowledge and workflows rather than the in-product requests Peeve already resolved.