What Gumloop does
Gumloop is a no-code automation platform for deterministic workflows, adaptive AI agents, integrations, schedules, webhooks, APIs, and governed team operations.
Gumloop supports two complementary patterns. Visual workflows make known sequences explicit, while agents handle open-ended goals by selecting among approved tools. An Agent node can place adaptive reasoning inside a scheduled or event-driven workflow, letting teams combine deterministic validation with flexible research, classification, drafting, or routing.
The current public pricing page lists a free entry point, Pro starting at $37 per month with 20,000 included monthly credits, and custom Enterprise pricing. Credit use is not equivalent to a flat task count: models, context, tools, agent calls, orchestration fees, concurrency, and retries affect consumption. Buyers should model representative runs and confirm overages, retention, controls, and support before production use.
Credentials can be personal, pinned, or shared at team scope, and permissions depend on organization roles, item sharing, and plan-specific custom restrictions. Official documentation describes encrypted and redacted custom-node secrets, audit and access features by tier, and no model training on premium workflow data. The public privacy policy also covers website and service data, transfers, providers, and user rights; contract terms still control customer data processing.
No-code does not remove automation risk. Agents can misread instructions, call the wrong tool, expose sensitive context, accept prompt injection from untrusted content, or create costly loops. Builders should minimize tool scopes, separate test and production credentials, use app rules where available, cap usage, validate structured outputs, add approval gates, and maintain a manual recovery path. This listing is documentation-based and does not claim hands-on testing.
How Gumloop works
A builder creates a visual flow from triggers and connected nodes or configures an agent with instructions, models, tools, integrations, workflows, and optional skills. At run time, Gumloop passes node outputs into later steps; an agent can choose tools dynamically, execute code in an isolated sandbox, search or fetch the web, call connected services, and return text, files, or actions. Scheduled, event, webhook, API, and manual triggers can start work. Runs consume credits according to orchestration, models, message length, history, and tools. Owners must constrain credentials and actions, inspect logs and outputs, test failure paths, and require human approval before consequential writes.
How to set up Gumloop
Choose one bounded outcome
Define the trigger, permitted inputs, expected output, owner, latency and cost limits, prohibited actions, and exact conditions requiring human approval.
Select workflow or agent behavior
Use a visual workflow for predictable steps; add an agent only where tool choice or interpretation must adapt, with narrow instructions and an explicit stop condition.
Connect least-privilege accounts
Authenticate only required apps, prefer per-user credentials when appropriate, separate test accounts, restrict shared credentials, and review every available write permission.
Test representative and hostile cases
Exercise missing data, malformed files, prompt injection, timeouts, duplicate events, tool errors, long context, credit spikes, and unauthorized requests.
Add controls and observability
Configure roles, sharing, app rules, usage caps, alerts, logs, retention, and approval steps; record input, version, action, output, reviewer, and rollback evidence.
Release gradually
Start with low-risk volume, inspect sampled runs and all exceptions, measure credit cost and error rates, and pause automatically when thresholds are breached.
Gumloop FAQs
How much does Gumloop cost?
The current page lists a free entry plan, Pro starting at $37 per month with 20,000 monthly credits, and custom Enterprise pricing. Actual capacity depends on model, context, tools, orchestration, and retries.
What is the difference between a Gumloop workflow and agent?
A workflow follows a designed sequence of nodes. An agent receives a goal and dynamically chooses among configured tools; an Agent node can run that behavior inside a workflow.
Whose credentials does an agent use?
By default it can use the running user's personal credentials; builders may configure pinned or team credentials where supported. Sharing the agent does not automatically grant every integration credential.
Can Gumloop agents take actions automatically?
Yes, when given integrations or workflows with write capabilities. Use narrow scopes, app rules, test accounts, usage limits, and human confirmation for consequential actions.
Does Gumloop use workflow data to train models?
Gumloop's current privacy policy says data passing through premium users is not used for model training and describes provider agreements with OpenAI and Anthropic. Verify the active plan and contract.
Was Gumloop tested hands-on for this listing?
No. This is a documentation-based review of current official product, pricing, documentation, privacy, and security materials.
Listing reviewed 2026-08-14. Product details and pricing can change; verify important terms on the provider's website.
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