Decagon vs Lindy
A side-by-side comparison of two ai agents tools — pricing, integrations, and the trade-offs that matter — so you can pick the right fit fast.
| Feature | Decagon | Lindy |
|---|---|---|
| Category | AI Agents | AI Agents |
| Pricing | Paid · from Custom pricing | Paid · from $30/mo |
| Best for | Customer Support | Founders, Sales Teams, Customer Support |
| Use cases | Resolving customer support tickets autonomously, Handling multi-turn customer conversations with AI, Reducing human handoff for routine support inquiries | automating email follow-up, scheduling meetings, qualifying leads |
| Integrations | Zendesk, Intercom, Salesforce | Gmail, Slack, HubSpot, Calendar |
| Rating | — | — |
| Website | Visit Decagon | Visit Lindy |
Decagon
AI agent platform for building autonomous customer support agents.
Pros
- +Handles complex, multi-turn customer conversations autonomously
- +Learns from existing support data to improve accuracy
- +Reduces human handoff for routine and moderately complex inquiries
Cons
- –Setup requires training on existing support knowledge and data
- –Complex edge cases still benefit from human agent escalation
Lindy
Build AI agents that automate your workflows.
Pros
- +No-code agent builder
- +Connects many apps
- +Handles multi-step tasks
Cons
- –Setup takes thought
- –Costs scale with usage
Decagon vs Lindy FAQ
- Is Decagon better than Lindy?
- Neither is universally better — both are ai agents tools. Decagon (Paid, from Custom pricing) is a strong fit for Resolving customer support tickets autonomously, while Lindy (Paid, from $30/mo) suits automating email follow-up. Pick by your primary use-case and budget.
- What is the main difference between Decagon and Lindy?
- Decagon focuses on "AI agent platform for building autonomous customer support agents." whereas Lindy focuses on "Build AI agents that automate your workflows.". Their pricing starts at Custom pricing and $30/mo respectively.
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