Gumloop Review (2026): No-Code AI Automation Put to the Test
A hands-reviewed look at Gumloop, the no-code AI workflow and agent builder: what it does, 2026 pricing and credits, strengths, limits, and how it compares to rivals.

Gumloop Review (2026): No-Code AI Automation Put to the Test
Gumloop pitches itself as a no-code way to build AI-powered automations by dragging nodes onto a canvas. It sits in a crowded field alongside Zapier, Make, n8n and Bardeen, but leans harder into AI and autonomous agents than most of them. This review looks at what Gumloop actually does, what it costs in 2026, where it shines, and where it falls short.
What Gumloop is
Gumloop is a visual, node-based automation builder. Instead of writing code, you drop pre-built blocks onto a canvas and wire them together into a flow. Each block, called a node, performs one step: pull rows from Google Sheets, summarize text with an LLM, scrape a page, post to Slack, and so on. The platform was founded in April 2023 by McGill classmates Max Brodeur-Urbas and Rahul Behal, and went through Y Combinator's Winter 2024 batch.
The product has shifted over the past year from a pure workflow builder toward what the company now calls an agent platform. Alongside deterministic step-by-step flows, you can build AI agents that decide which tools to call, chat with them, give them skills and knowledge sources, and host them as MCP servers. In practice most teams use a mix: predictable workflows for repeatable jobs, agents for open-ended tasks like research or triage.
Gumloop reports customers including Shopify, Instacart, Webflow, Ramp, Gusto and Samsara, with Instacart alone citing more than 1,000 internal users. The company is well funded: a $17M Series A led by Nexus Venture Partners in January 2025 (with First Round Capital and Y Combinator participating), followed by a $50M Series B led by Benchmark in March 2026, bringing total funding to roughly $70M.
At a glance
| Details | |
|---|---|
| Category | No-code AI automation / workflow and agent builder |
| Best for | Technical-leaning ops, growth and RevOps teams |
| Model | Visual node canvas + AI agents, usage-based credits |
| Integrations | 130+ native connectors, plus MCP and a Chrome extension |
| Free plan | Yes, 5,000 credits/month |
| Paid entry | $37/month (Pro), unlimited seats |
| Enterprise | Custom pricing |
| Funding | ~$70M (YC W24; Nexus Series A; Benchmark Series B) |
Pricing and the credit model
Gumloop's pricing is usage-based rather than seat-based, which is the single most important thing to understand before adopting it.
| Plan | Price (USD) | Credits | Notable limits |
|---|---|---|---|
| Free | $0 | 5,000/month | 1 seat, 1 active trigger, 2 concurrent runs |
| Pro | From $37/month | 20,000/month, scaling up | Unlimited seats, 5 concurrent runs, 25 concurrent agent chats |
| Enterprise | Custom | Custom | RBAC, SCIM/SAML, audit logs, VPC, admin controls |
A few things to note. Earlier versions of Gumloop advertised a separate Starter tier around $97/month; as of 2026 that has been folded away, and the lineup is effectively Free, Pro and Enterprise. Pro starts at $37/month for 20,000 credits and scales along a slider up to roughly $1,840/month for one million credits, so the "Pro" band covers a very wide range of usage. Every paid plan includes unlimited seats, so you pay for work done, not for the number of people on the team.
Credits are the unit of consumption. Crucially, more than half of Gumloop's native nodes cost zero credits, including text manipulation, filters, and many app integrations such as Google Sheets, Slack and Salesforce. AI nodes are where credits get spent, priced by model tier: roughly 2 credits for standard models, around 20 for advanced models, and about 30 for expert-tier models. You can also bring your own API keys to route model calls through your own accounts. Unused credits do not roll over month to month except on Enterprise plans, so buying a large monthly bucket "just in case" is wasteful.
Key features and workflow
Building in Gumloop follows a consistent pattern: pick a trigger, add nodes, connect them, and run. Triggers can be manual, scheduled, webhook-based, or event-driven from a connected app.
- Node library. Gumloop ships well over 100 pre-built blocks covering AI operations, data transformation, web scraping, file handling, and app actions.
- Per-node model choice. You can swap between GPT, Claude, Gemini and DeepSeek on a per-node basis, which makes it easy to use a cheap model for routine steps and a stronger one only where it matters.
- AI agents. Beyond linear flows, you can build agents with skills, knowledge sources and reflections, chat with them, and expose them as hosted pages or MCP servers.
- Chrome extension. The browser extension records a browsing session and replays it as a node, turning any website into a de facto integration when no API exists. This is the feature that most directly overlaps with Bardeen.
- Subflows and reuse. Flows can be nested and reused, and templates cover common jobs like lead enrichment, competitor analysis, SEO tasks and support triage.
- Collaboration and governance. Shared credentials, unified billing, connector policies and guardrails exist on paid plans, with deeper controls (audit logs, RBAC, data retention) reserved for Enterprise.
A typical use case: a growth team wires a scheduled trigger to pull new leads from a CRM, enriches each one with a web-scraping node and an LLM summary, scores them, and writes qualified leads back to the CRM while pinging Slack. That whole loop can run without a single line of code.
Strengths
Gumloop's clearest strength is that it is genuinely AI-first without forcing you into code. Per-node model selection and the mix of free and paid nodes give real cost control, and the zero-credit integrations mean simple plumbing stays cheap. Unlimited seats on every paid plan is unusually generous and removes the per-user tax that makes Zapier and Make expensive to roll out across a team. The Chrome extension is a practical answer to the perennial "this app has no API" problem, and the pivot to agents means the platform can handle open-ended tasks that rigid trigger-action tools cannot.
Limits
The credit model is powerful but hard to predict. Heavy use of expert-tier AI nodes can burn through a monthly allowance quickly, and because credits do not roll over outside Enterprise, forecasting spend takes some trial and error. The learning curve is steeper than mainstream tools: Gumloop expects a degree of comfort with data flow, APIs and prompt design, so it is not the tool for a total beginner who just wants to connect two apps. The native integration catalogue, while growing, is smaller than Zapier's thousands of connectors, so you may lean on the Chrome extension, webhooks or MCP to fill gaps. And unlike n8n, Gumloop is cloud-only with no self-hosting option, which can be a blocker for teams with strict data-residency requirements.
Pros and cons
Pros
- AI-native, with per-node choice across GPT, Claude, Gemini and DeepSeek
- Unlimited seats on all paid plans; usage-based, not seat-based
- Many zero-credit nodes keep basic automations cheap
- Chrome extension and MCP extend it beyond native connectors
- Backed by strong funding and marquee customers
Cons
- Credit consumption is hard to forecast; no rollover outside Enterprise
- Steeper learning curve than Zapier or Bardeen
- Fewer native integrations than Zapier
- Cloud-only, with no self-hosting like n8n
How it compares
Against Zapier, Gumloop trades breadth of integrations for depth of AI. Zapier connects more apps and is easier for non-technical users; Gumloop does more sophisticated AI work per step. Against Make, both are visual canvases, but Gumloop is more AI-centric while Make is stronger on complex branching and iteration at low cost. Against n8n, the trade is control versus convenience: n8n is self-hostable and developer-oriented, whereas Gumloop is managed and more opinionated about AI. Against Bardeen, the two overlap most on browser automation, but Bardeen is primarily a browser AI agent while Gumloop is a broader workflow-and-agent platform. For a closer look, see the Bardeen vs Gumloop comparison.
Who it's for
Gumloop fits technically comfortable operations, growth, marketing and RevOps teams that want to build AI-heavy workflows without a full engineering project. If your team already lives in spreadsheets, CRMs and APIs, and wants agents and LLM steps as first-class citizens, it is a strong fit. If you need a beginner-friendly connector between two SaaS apps, Zapier is simpler. If you require self-hosting or full data control, n8n is the better call.
Verdict
Gumloop is a capable, AI-first automation platform that has matured quickly and earned serious funding and customers. Its usage-based pricing with unlimited seats is a genuine advantage for teams, and its per-node model flexibility gives it an edge over older trigger-action tools. The main caveats are cost predictability and a learning curve that assumes some technical fluency. For ops and growth teams that want to build real AI workflows and agents without code, it is well worth a trial on the free plan before committing. See the full Gumloop profile for specs and updates.
FAQ
Is Gumloop free? Yes. The Free plan gives 5,000 credits a month with one seat and limited concurrency, which is enough to build and test workflows before upgrading.
How much does Gumloop cost? Pro starts at $37/month for 20,000 credits with unlimited seats and scales up along a slider as you need more credits. Enterprise is custom-priced.
What is a credit? A credit is the unit of usage. Many nodes cost zero credits; AI nodes cost roughly 2 to 30 credits depending on the model tier. Unused credits do not roll over except on Enterprise.
Can I use my own AI API keys? Yes, Gumloop lets you bring your own API keys to route model calls through your own provider accounts.
Is Gumloop better than Zapier? It depends. Gumloop is stronger for AI-heavy workflows and agents; Zapier has more integrations and is easier for non-technical users.