Gumloop
Orchestrate multi-agent AI workflows on a visual canvas with enterprise security.
Best for teams that want pre-built AI agents inside Slack/Teams with enterprise guardrails. The visual workflow builder is intuitive, but power users may hit limits on custom logic compared to coding frameworks. Strong enterprise security features (VPC, RBAC, audit logs) justify the price for compliance-heavy orgs.
Verified 17d ago · liveness 95/100 · cite: rightaichoice.com/tools/gumloop
- GTM teams needing automated data analysis, sales insights, and competitive intel agents
- Customer support teams triaging bugs and spotting patterns automatically
- Recruiting teams automating candidate outreach and interview prep
- Marketing teams deploying agents for campaign management and SEO automation
- Solo developers needing full code-level control and custom model fine-tuning
- Teams requiring deep, multi-step RAG pipelines with complex data ingestion
- Organizations with low automation maturity (steep learning curve for non-technical users)
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Skip Gumloop if you need full code-level control, custom model fine-tuning, or deep multi-step RAG pipelines; its visual canvas and credit-based pricing can feel limiting for advanced developers or high-volume automation.
Going past 20k monthly credits on Pro adds $0.0018 per extra credit, which adds up fast at high volume.
At $37/mo for Pro, Gumloop is competitive with n8n's paid plans and cheaper than Zapier's comparable tiers, especially for teams wanting agentic workflows. However, credit-based pricing can make high-volume usage more expensive than flat-rate alternatives like Claude Pro. Enterprise pricing is custom—expect costs comparable to enterprise RPA tools.
In short
Gumloop — Orchestrate multi-agent AI workflows on a visual canvas with enterprise security. Best for GTM teams needing automated data analysis, sales insights, and competitive intel agents, Customer support teams triaging bugs and spotting patterns automatically, Recruiting teams automating candidate outreach and interview prep. Free to start; paid plans from $37/mo.
What's new in Gumloop
Checked 18 days agoAcross the latest 9 updates: 6 feature updates, 2 changelog entries and 1 news mention.
Gumloop 10.6.0 — Claude Sonnet 5, agent-owned credentials, token-based billing for workflows
New model Claude Sonnet 5 brings Opus 4.8-level performance at lower cost. Workflow AI credits now bill by token usage instead of flat rate. Agents can own their own connector credentials.
Your AI agents, your rules
App Rules enforce precise permissions for agents within an organization, limiting access to necessary resources.
Agents now have inboxes
Email your Gumloop agents like a teammate; they read, reply, and perform actions from their inbox.
Agents can command other agents
Subagents feature allows agents to clone themselves for parallel work and call other agents.
Bringing Gumloop agents into Microsoft Teams
Gumloop agents now integrate with Microsoft Teams to read, reply, and execute tasks directly within chats.
Agents that know when to ask
Agents can pause at key moments and request human approval before proceeding with actions.
See exactly where your credits go
New credit tracking shows model cost breakdown, usage patterns, and spend comparisons across different models.
Announcing Gumloop's $50M Series B
Gumloop raised $50M Series B led by Benchmark to scale automation infrastructure.
Gumloop 10.5.0 — Agent analytics, credit warnings, DocuSign & ClickUp MCP
New analytics page per agent shows usage and tool calls. Per-chat credit thresholds with pause-and-approve. DocuSign and ClickUp integrations now generally available.
Viability Score
How likely is Gumloop to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Visual canvas for multi-agent workflow orchestration
- Pre-built agents: Data Analysis, Support, CRM, Meeting Prep, Call Analysis
- Natural language agent invocation via Slack, Teams, and email
- Human-in-the-loop approval for agent actions
- Live artifacts that connect to MCP servers
- Agent chat evaluations with auto-grading against criteria
- Subagents: agents can clone for parallel work and command other agents
- Agent-owned credentials and inboxes (email agents like teammates)
- App Rules for precise permissions and resource access
- Role-based access control and scoped permissions
- Virtual private cloud (VPC) deployments
- AI model restrictions and spend policies
- Insights dashboard for org-wide credit usage with model cost breakdown
- Audit logging for all agent actions
- Support for Claude Sonnet 5, Qwen 3.7 Plus, GLM-5.2, GPT, Gemini, DeepSeek
About Gumloop
Gumloop is an AI automation platform that lets teams build, deploy, and monitor multi-agent workflows without writing code. Designed for both business and technical users, it offers a visual canvas to orchestrate specialized agents like Data Analysis, Support, CRM, Meeting Prep, and Call Analysis. Key features include Slack/Teams integration for natural language interaction, human-in-the-loop approvals, role-based access control, VPC deployments, AI model restrictions, and Gumstack—a gateway for auditing and monitoring all AI activity. With a $50M Series B from Benchmark and recent updates through version 10.6.0 (July 2026), Gumloop now includes agent chat evaluations, an Insights dashboard for credit usage, live artifacts that connect to MCP servers, agent-owned credentials, and support for models like Claude Sonnet 5. It serves companies like Gusto and aims to make task understanding the only prerequisite for automation. Compared to coding frameworks, Gumloop trades custom flexibility for speed and governance, making it ideal for teams that need pre-built agents with enterprise guardrails.
Behind the Verdict
Gumloop positions itself as the enterprise-friendly alternative to building AI agents from scratch. Its visual canvas lets you orchestrate multi-agent workflows with pre-built agents for data analysis, support, CRM, meeting prep, and call analysis. The key differentiator is governance: VPC deployments, RBAC, audit logs, and Gumstack for monitoring all AI activity across the org. Recent updates (10.6.0) add Claude Sonnet 5 support, agent-owned credentials, and token-based billing for workflows, making it more cost-predictable. However, the credit-based pricing can still surprise teams with heavy usage. Subagents and agent inboxes (added in 10.5.0/10.6.0) extend automation depth, but you're still limited to the pre-built agent behaviors—custom logic requires using the canvas builders and available connectors. We'd pick Gumloop over n8n or Zapier when enterprise security and natural language agent invocation are priorities. Skip it if you need full code-level control or complex RAG pipelines. The learning curve for non-technical users is real, but the Slack/Teams integration lowers that barrier significantly.
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Real-world workflow fit
Concrete scenarios for the personas Gumloop actually fits — and what changes day-one when you adopt it.
You need weekly sales data comparisons without manual SQL queries.
Outcome: Set up a Data Analysis agent triggered every Monday via Slack; it pulls from Salesforce and Looker and posts a summary with year-over-year comparisons.
You want to auto-triage incoming bugs from support tickets.
Outcome: Configure a Support agent connected to Gmail and Slack; when a ticket matches bug criteria, it creates a Jira issue and notifies the team.
You need SEO keyword clusters for new content campaigns.
Outcome: Use the SEO Automation agent with a web search connector; it generates keyword clusters and saves them to a Google Sheet in minutes.
Use Cases
- Analyze monthly sales data by asking @Databot in Slack for year-over-year comparisons
- Automatically triage support tickets and create Jira bugs based on Slack messages
- Research prospects and update Salesforce CRM fields via Slack conversations
- Generate SEO keyword clusters for any domain using natural language prompts
- Brief teams before meetings by pulling data from multiple tools into a single Slack thread
- Monitor form submissions for lead qualification and trigger follow-up workflows
- Automate ad campaign management and competitor analysis
- Set up agent chat evaluations to auto-grade support responses
Models Under the Hood
as of 2026-07-06
Limitations
- Free tier capped at 5,000 credits and 2 concurrent runs, which may restrict heavy usage.
- Pro plan adds more credits but still limits concurrent runs to 5.
- Credits do not roll over.
- Enterprise pricing is opaque.
- Some advanced AI models may require your own API keys.
- Platform complexity can be overkill for simple automation tasks.
as of 2026-06-29
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Gumloop tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Individual trial users exploring agent automation with low volume (under 5k credits/month).
What this tier adds
Starting tier with 5k credits, 1 seat, 1 trigger, 2 concurrent runs; no email support or advanced features.
Pro
$37/mo
Ideal for
Small teams needing more credits and concurrent runs, with unlimited seats and unified billing.
What this tier adds
Adds unlimited seats, 5 concurrent runs, 25 agent interactions, agent reflections, team usage analytics, and MCP server hosting (1).
Enterprise
Custom
Ideal for
Large organizations requiring security controls, VPC deployment, and custom integration support.
What this tier adds
Adds RBAC, SCIM/SAML, admin dashboard, audit logs, custom data retention, VPC, and dedicated support.
Where the pricing makes sense
The company stage and team size where Gumloop's pricing actually pencils out — and where peers do it cheaper.
At $37/mo for Pro, Gumloop is competitive with n8n's paid plans and cheaper than Zapier's comparable tiers, especially for teams wanting agentic workflows. However, credit-based pricing can make high-volume usage more expensive than flat-rate alternatives like Claude Pro. Enterprise pricing is custom—expect costs comparable to enterprise RPA tools.
Setup time & first value
How long it actually takes to get something useful out of Gumloop — broken out by persona, not the marketing-page minute.
For a Sales Ops manager, setting up a Data Analysis agent with a Slack trigger takes about 15 minutes. A customer support lead can configure a Support agent with Gmail and Jira within 30 minutes. The visual canvas and pre-built templates make first agent setup fast, but fine-tuning MCP connectors may take 1-2 hours.
Switching to or from Gumloop
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Zapier: Export your Zapier flows as JSON and recreate them in Gumloop's visual canvas, adding agentic logic where needed.
- →From n8n: Import n8n workflows via the visual builder; many HTTP and webhook triggers map directly.
- →From custom scripts: Wrap your existing Python/Node scripts as MCP servers and connect them to Gumloop agents.
- ↗To n8n: Export workflows as JSON and port to n8n's code-first environment, preserving logic but losing pre-built agents.
- ↗To Relevance AI: Migrate agent definitions via API; both platforms support similar agent chaining patterns.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Gumloop
Common stack mates teams adopt alongside Gumloop, with the specific reason each pairing earns its keep.
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