What is Gumloop
Gumloop is a no-code platform for building AI workflows and agents. It meters automation with credits and provides hosted agents, triggers, integrations, MCP hosting, collaboration, and enterprise governance.
Core offerings
- Unlimited workflows and agents with credit-metered execution.
- Agent tools, reflections, skills, code sandboxes, and hosted agent pages.
- App integrations, triggers, shared credentials, and bring-your-own-key support.
- MCP hosting plus enterprise access, audit, retention, and model controls.
Pricing
As of August 22, 2026, Gumloop’s public pricing page lists Pro starting at US$37 per month with 20,000 credits and Enterprise at custom pricing. Pro includes 35+ models, unlimited agents, seats and teams, bring-your-own-key support, five concurrent workflow runs, 25 concurrent agent chats, and an 8% orchestration fee. The current public page does not publish a numeric Free-plan allowance.
Pro also includes agent reflections, unified billing, connector policies and guardrails, and one hosted MCP server. Credit requirements vary by model, node and agent workload, so teams should confirm the live credit calculator for their expected usage.
Enterprise adds RBAC, SCIM/SAML, an admin dashboard, team usage analytics, AI-spend insights, audit logs, custom retention, security reports, exports, incognito mode, AI-model access control, VPC support, workflow queueing, and expanded MCP hosting. Gumloop’s credit documentation says unused credits generally do not roll over except on Enterprise. Buyers should use the current checkout and credit documentation for any overage rate because Gumloop’s public materials can present different metering terms.
Model footprint
Gumloop provides access to multiple model tiers and also supports customer API keys. Credit use varies by node, model, conversation length, and tool use; native non-AI logic and many integrations cost zero node credits beyond the base workflow execution.
Why select Gumloop
Gumloop is a good fit for teams that want AI-first no-code agents with transparent starter credit pools and collaboration. Teams should pilot representative workflows because agent interactions have variable credit costs.
Official sources: Gumloop pricing, Gumloop credit documentation.