GumloopPaid
A visual AI automation platform where the nodes are AI steps rather than API calls — closer to an agent builder than to Zapier.
Automation comparison
Gumloop vs Lindy AI
Pricing, pros, cons, and ideal use cases — side by side.
Lindy AIPaid
AI agent builder with 5,000+ integrations — create custom AI employees for CRM, email, scheduling, and more.
At a glance
| Gumloop | Lindy AI | |
|---|---|---|
| Pricing | PaidPro from $37/month with 20,000 credits, 35+ models, unlimited agents and seats, plus an 8% orchestration fee. Enterprise custom with RBAC, audit logs, and MCP server hosting. 14-day free trial on both. | PaidFree $0/month plan with $50 in credits, which the page marks as 7-day. Team starts at $29.99/month for 3,000 credits and scales on a credit slider; extra credits are $10 per 1,000. Enterprise is custom. As read on the vendor's pricing page in early October 2026. |
| Category | Automation | Automation |
| Ideal for | Marketing and growth teams automating research and contentOperations teams doing document and data processingAgencies building client-facing automationsTechnical-adjacent operators who do not want to write code | Any SMBAgenciesRecruitersInsuranceReal Estate |
Pros & cons
Gumloop
Pros
- AI-native nodes, not just data plumbing
- Unlimited agents and seats even on the Pro plan
- 35+ models selectable per step
- Enterprise tier hosts and proxies MCP servers
Cons
- Credit metering makes cost hard to predict — test before committing
- 8% orchestration fee on top of the plan price is easy to miss
- Visual canvases get hard to maintain past a certain complexity
- Smaller connector library than Zapier or Make
Lindy AI
Pros
- 5,000+ integrations
- Multi-agent workflows
- No-code builder
- Voice AI support
Cons
- Credit-based pricing can be confusing
- Complex workflows need tuning
Which should you choose?
Gumloop is built around marketing and growth teams automating research and content; Lindy AI leans more toward any smb. Shortlist the one whose strengths line up with your biggest constraint.
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