Gumloop is a visual, no-code AI agent builder designed to help teams automate complex workflows using AI reasoning, web scraping, and multi-model integrations.
Gumloop is a visual, no-code AI automation builder designed to help teams and developers build complex AI agents. By offering a visual drag-and-drop workflow canvas, it allows teams to connect data pipelines, logic triggers, and advanced AI reasoning without writing any code. This approach makes it incredibly simple to turn complex instructions and business processes into automated, reliable background agents.
Unlike traditional automation tools, Gumloop is AI-native, meaning it is optimized for processing unstructured data (like PDFs, emails, or web pages) and making complex cognitive decisions. It supports a wide range of LLMs (such as OpenAI, Anthropic, and Gemini) and enables seamless collaboration under shared team credits. Readers comparing AI automation systems can also explore MoClaw, ZenCall, and other AI automation tools.
Visual Workflow Builder : Drag-and-drop node canvas to easily stitch together triggers, logic loops, API integrations, and AI models without writing a line of code.
AI-Native Agents : Create autonomous agents capable of analyzing unstructured data, making decisions, and performing tasks based on human-like reasoning.
Multi-Model Selection : Ability to alternate between top LLMs (such as GPT-4o, Claude 3.5 Sonnet, and Gemini Pro) directly within the same workflow.
Extensibility via MCP : Support for the Model Context Protocol (MCP), allowing agents to connect directly with over 250 external server integrations.
Batch Processing : Run high-volume data extractions, web scraping, and content categorizations simultaneously, optimizing automation performance.
Human-in-the-Loop Actions : Pause executions for manual approval or feedback before resuming the automation, ensuring safety for critical runs.
Custom Node Generation : Build new custom nodes using simple natural-language prompts, making the platform infinitely extensible.
Enterprise Security & Controls : Built-in SCIM/SAML SSO, role-based permissions (RBAC), and node-level control policies managed directly by IT administrators.
✔ Built from the ground up for AI reasoning and unstructured data processing rather than basic app triggers.
✔ Flexible canvas with advanced programming logic nodes (loops, branches, and custom nodes).
✔ Excellent team collaboration tools with shared credit pools and no seat limits on the Pro plan.
✔ Native Model Context Protocol (MCP) support drastically expands integration possibilities.
✔ High degree of customizability using natural language prompts to create custom action nodes.
✔ Supports “Bring Your Own Key” (BYOK) to route API calls directly through your own accounts.
✔ SOC 2 Type II certified and GDPR compliant, ensuring enterprise-grade data security.
✖ Steeper learning curve for complete beginners compared to simple automated task builders.
✖ Credit consumption can scale rapidly for complex workflows or intensive LLM operations.
✖ The direct pre-built integration library is smaller compared to traditional legacy automation platforms.
✖ Managing token context windows can be difficult when processing extremely large document batches.
✖ Debugging complex nested logic loops requires patience and understanding of node input/output structures.
✖ Advanced features like team governance and custom VPC deployments require transitioning to custom enterprise contracts.
| Plan | Type | Price | Usage Limit | Inclusions |
|---|---|---|---|---|
| Free | Freemium | Free | 5,000 credits/month (60k/year) | 1 Seat, 1 Active Trigger, 2 Concurrent Runs, 5 Concurrent Agent Interactions, Forum Support, Unlimited Agents & Flows |
| Pro | Subscription | $29/month (Billed annually, or $37/mo billed monthly) | 20,000 credits/month (240k/year) | Unlimited Seats, 5 Concurrent Runs, 25 Concurrent Agent Interactions, Agent Reflections, Unlimited Teams, Unified Billing, Connector Policies & Guardrails, 1 MCP Server Hosting |
| Enterprise | Subscription | Custom (Contact Sales) | Custom limits | Everything in Pro, advanced security (SCIM/SAML SSO, RBAC), VPC deployment, data retention controls, dedicated support |
Source: Gumloop pricing. Verify current credits, concurrency limits, seat configurations, and plan details on the official website.
While Zapier and Make excel at simple, structured app-to-app integrations, Gumloop is designed for AI-native workflows that require deep reasoning over unstructured data, web scraping, and multi-model orchestration.
Yes, Gumloop supports “Bring Your Own Key” (BYOK), which allows you to route API calls directly through your own accounts and custom endpoints to avoid using plan credits for models.
Yes. Gumloop is SOC 2 Type II certified, GDPR compliant, and offers features like Zero Data Retention (ZDR) agreements to ensure your business data is never used for training models.
Flow executions, web scraping steps, and AI model calls consume credits. The rate of credit consumption depends on the model selected (e.g., advanced models like GPT-4o or Claude 3.5 Sonnet use more credits) and the complexity of the nodes processed.
Concurrent runs define how many workflow pipelines can execute at the exact same time. Concurrent agent interactions define how many active chat or API conversations the AI agents can process simultaneously.
| Key Features |
Gumloop
Active | 
shadcn/ui | 
v0 | 
Riverside |
|---|---|---|---|---|
| Review Score | 9.2/10 | 9.8/10 | 9.6/10 | 9.4/10 |
| Pricing Model | Freemium / Usage-Based / Enterprise | Free / Open Source | Freemium / Usage-Based / Enterprise | Freemium / Subscription |
| Free Plan | ✔ Yes | ✔ Yes | ✔ Yes | ✔ Yes |
| Starting Cost | Freemium | Free | Freemium | Freemium |
| Details Page | Active Page | Compare | Compare | Compare |
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