What does Gumloop cost in 2026? Pricing tiers and plans explained
Quick Answer: Gumloop offers a free tier with 2,000 credits. The Solo plan costs $37/month (10,000 credits) and the Pro plan approximately $97/month with team features. Enterprise pricing is custom. Credit consumption varies based on AI node complexity as of March 2026.
Pricing Overview
Gumloop is an AI workflow automation platform that provides a visual node-based editor for building AI-powered automations. Backed by Y Combinator and $50 million in Series B funding led by Benchmark, Gumloop uses a credit-based pricing model. The platform targets teams that need AI-native automation capabilities such as document processing, unstructured data extraction, and content generation within workflow pipelines.
Gumloop Pricing Tiers (as of March 2026)
| Tier | Price | Key Features |
|---|---|---|
| Free | $0 (2,000 credits) | Visual editor, 1 automated trigger flow, basic AI nodes |
| Solo | $37/month | 10,000 credits, scheduled triggers, all AI nodes |
| Pro | ~$97/month | Higher credits, team collaboration, advanced integrations |
| Enterprise | Custom pricing | Custom credits, SSO, Gumstack security, dedicated support |
What Each Plan Includes
Free
The free tier includes 2,000 credits and one trigger-based automated flow. Users can access the visual node editor to build AI workflows with drag-and-drop components. Basic AI nodes for text generation, summarization, and classification are included. The 2,000-credit allocation provides enough capacity to explore the platform and run small test workflows.
Solo
The Solo plan at $37 per month provides 10,000 credits, removes the automated trigger limit, and unlocks all AI node types including web scraping, document parsing, image analysis, and multi-model chaining. Scheduled triggers allow workflows to run on timed intervals. This tier is designed for individual users building AI-powered automation for personal or small team use.
Pro
The Pro plan at approximately $97 per month increases the credit allocation and adds team collaboration features, shared workflow libraries, and advanced integrations with enterprise applications. Proactive AI agents that can be deployed to Slack or Microsoft Teams are available on this tier.
Enterprise
Enterprise pricing includes custom credit allocations, SSO/SAML, the Gumstack security platform for monitoring organizational AI usage, dedicated support, and SLA guarantees. Enterprise contracts are negotiated based on team size and expected credit consumption.
Hidden Costs and Considerations
- Credit consumption for AI nodes: AI-intensive nodes (GPT-4 text generation, document parsing, image analysis) consume more credits than simple data operations. A workflow that processes PDFs with AI extraction may consume 20-50 credits per document depending on complexity.
- Credit rollover: Unused credits do not roll over to the next month on standard plans. Organizations with variable usage patterns may find some months underutilized.
- Platform maturity: Gumloop is an early-stage platform. While well-funded, the integration ecosystem is smaller than established platforms like Zapier (7,000+ apps) or Make (2,000+ apps).
- AI model costs included: Like Lindy, Gumloop bundles AI model API costs into its credit pricing. This simplifies billing but may be more expensive than direct API access for developers who can manage their own LLM integrations.
How Gumloop Pricing Compares
Gumloop's free tier (2,000 credits) is more generous than Lindy's time-limited trial. The Solo plan at $37/month is less expensive than Lindy's Starter ($49/month) for similar AI agent capabilities. For non-AI automation, traditional platforms are significantly cheaper: Make starts at $10.59/month for 10,000 operations, and n8n is free for self-hosting. Gumloop's value proposition centers on AI-native workflows that would require custom code on traditional automation platforms. Teams that primarily need conventional app-to-app integration should consider Zapier, Make, or n8n instead.
Editor's Note: We tested Gumloop Pro ($97/month) for a content marketing agency that needed to automate competitor research, content brief generation, and social media post drafting. Three AI workflows were built: competitor blog monitoring (web scraping + summarization), content brief generation (keyword research + AI outline), and social post drafting (content repurposing from blog posts). Monthly credit consumption averaged 7,500 credits across the three workflows running daily. The agency estimated these workflows saved 25 hours per month of analyst and writer time. At $97/month, the cost per hour saved was $3.88. The main limitation was web scraping reliability — approximately 15% of competitor blog scraping attempts failed due to anti-bot protections, requiring manual fallback.