# Gumloop vs Immuta

Gumloop records 379,557 monthly visits with -21.1% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Immuta records 24,384 monthly visits with -65.7% growth and Contact for Pricing pricing.

| Metric | [Gumloop](https://openaitools.app/tool/gumloop) | [Immuta](https://openaitools.app/tool/immuta) |
| :--- | :--- | :--- |
| Website URL | https://www.gumloop.com | https://www.immuta.com |
| Categories | AI Workflow, No-Code&Low-Code, AI Agent, AI Web Scraping | AI For Data Analytics, AI Productivity Tools, AI For Finance, AI Healthcare |
| Pricing Model | Freemium, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 379,557 | 24,384 |
| MoM Growth Rate | -21.1% | -65.7% |
| Primary Market | United States | United States |
| Direct Visits | 125,579 | 8,319 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Gumloop

Gumloop positions itself as "agent infrastructure" for teams that want AI to execute work rather than just answer questions. You describe a task in plain language, pick a model, attach the connectors your company already uses (Slack, HubSpot, Salesforce, Gmail, Gong, and hundreds more), and the agent runs it — on a schedule, on a trigger, or in a shared chat where colleagues can @mention it. Everything the agent can do is mirrored from what a human would do, including logging into sites with a saved credential, clicking through interfaces, uploading files, and pulling data back out.

A big part of the pitch is governance. Gumloop puts credentials in a vault agents can use without ever seeing, records every browser session step by step with passwords masked, and gives admins role-based access, audit logs, AI spend insights, and per-agent model controls. Multiple providers — Anthropic, OpenAI, Google, xAI and open models — are available side by side, so teams can route cheap work to cheap models and hard reasoning to frontier ones.

Pricing is usage-based with a credit system layered on top of a seat-free plan structure. The Pro tier starts at $37/month and bundles 20,000 credits, unlimited agents and unlimited seats, plus an orchestration fee on top of usage; Enterprise adds custom pricing, VPC options, SSO/SCIM, connector policies and dedicated support. There is a 14-day free trial to start.

**Pricing & Plans:** 14-day free trial; Pro starts at $37/month including 20,000 credits with unlimited agents and seats plus an orchestration fee on usage; Enterprise is custom-priced with contact sales.

- **No-code agent builder:** Describe the outcome you want and let teammates who understand the problem assemble the agent — no scripting or learning curve required.
- **400+ connectors and app triggers:** Wire agents into Slack, HubSpot, Salesforce, Gmail, Gong, NetSuite, Shopify and hundreds more tools, then fire them on schedules, webhooks or events.
- **Real browser with a credential vault:** Agents sign in with saved logins or 1Password, browse from trusted connections, clear CAPTCHAs, and hand the live session to a human when needed.
- **Any model, side by side:** Run 35+ models from Anthropic, OpenAI, Google, xAI and open-source providers, or bring your own API keys, with per-agent access control.
- **Enterprise governance by default:** Session recordings with masked passwords, audit logs, SCIM/SAML, role-based access, AI spend insights and custom data-retention rules.

**Strengths:** Genuinely no-code: non-engineers can ship working agents without touching Python or JSON; Very broad connector library plus a real browser, so agents can reach tools that have no API; Strong enterprise controls — credential vault, masked session recordings, audit logs, RBAC, SSO; Model-agnostic with BYO API keys, which helps control cost and avoid lock-in

**Limitations:** Credit-plus-orchestration-fee pricing can be hard to forecast at high volume; The platform is evolving fast from workflows toward agents, so some docs and legacy features may feel transitional; Unlimited seats means real cost scales with usage rather than headcount, which surprises some buyers; Advanced governance (VPC, policies, dedicated support) sits behind custom Enterprise pricing

[Profile (Markdown)](https://openaitools.app/tool/gumloop.md)

## Immuta

Immuta is an authorization layer that sits between the people and AI agents asking for data and the systems that hold it. Instead of approving access system by system, organizations define a single set of rules that the Immuta policy engine evaluates on every request — returning allow, mask, filter, deny or escalate in under a second. Policies are authored once in plain language and enforced natively inside warehouses, lakehouses, databases, cloud storage, APIs and SaaS applications, so nothing has to be copied and no per-system code has to be maintained.

The problem Immuta addresses is that data access has changed shape. People no longer search for a table and request it; they ask an AI assistant a question, and that assistant may request every table the task might touch. That shift moves request volume from a few per week to thousands per hour, and it turns the question itself into a risk, because an agent does not know which columns are sensitive. Immuta's Agentic Data Access gives humans and agents just-in-time, scoped permissions, records a purpose for each request, and masks sensitive columns such as personal data unless a legitimate exception applies.

The platform is organized into four modules on one engine — policy authoring and enforcement, request workflows and exceptions, agentic data access, and agentic compliance — and customers can adopt one and add the rest. The vendor's customers include banks, pharmaceutical companies, insurers and government agencies that need enforceable, auditable data governance. Because deployments are enterprise-scale and integration-heavy, Immuta is sold through a demo and scoping process rather than self-serve checkout.

**Pricing & Plans:** Contact for pricing. Immuta is sold as an enterprise platform (policy authoring, request workflows, agentic data access and compliance) with pricing quoted after a demo; no public list price.

- **Global policy authoring:** Define access rules in plain language, and Immuta compiles them into native controls inside your data infrastructure.
- **Sub-second decisioning:** The policy engine returns allow, mask, filter, deny or escalate for every request in under a second, at enterprise scale.
- **Request workflows and exceptions:** Route genuine exceptions to data owners with the purpose attached, while routine access resolves on its own.
- **Agentic Data Access:** Give humans and AI agents just-in-time, scoped permissions so assistants only reach the data their task needs.
- **Unified audit and compliance:** Audit, triage and prove compliance across every actor and data system from a unified record of decisions.

**Strengths:** One policy engine enforces access across warehouses, databases, storage, APIs and SaaS; Sub-second decisions keep AI agents and analysts unblocked; Strong audit trail for privacy and regulatory proof; Purpose-aware exception handling keeps humans in charge of genuine edge cases

**Limitations:** Pricing requires a demo and internal packaging decisions; Implementation is enterprise-scale, not a quick self-serve setup; Value comes mainly from organizations with many data systems and strict governance needs

[Profile (Markdown)](https://openaitools.app/tool/immuta.md)

## Frequently Asked Questions

### How do Gumloop and Immuta compare in monthly traffic?

Gumloop has 379,557 monthly visits, while Immuta has 24,384. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Gumloop has a month-over-month growth rate of -21.1%; Immuta has -65.7%.

### How does pricing compare?

Gumloop: Freemium, Paid, Contact for Pricing. 14-day free trial; Pro starts at $37/month including 20,000 credits with unlimited agents and seats plus an orchestration fee on usage; Enterprise is custom-priced with contact sales. Immuta: Contact for Pricing. Contact for pricing. Immuta is sold as an enterprise platform (policy authoring, request workflows, agentic data access and compliance) with pricing quoted after a demo; no public list price.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | Executes autonomous multi-step web browser tasks, offering stronger general agentic execution than Gumloop's structured node pipelines. | [.md](https://openaitools.app/tool/manus.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Connects thousands of popular apps with robust traditional automations, but offers less native AI agent flexibility than Gumloop. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Provides powerful open-source node-based workflow automation, giving you more self-hosting control and flexibility than Gumloop. | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Provides a visual builder for custom AI agents and workflows, similar to Gumloop's automation capabilities. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | Builds recurring automated business workflows connected to enterprise applications, mirroring Gumloop's integration focus. | [.md](https://openaitools.app/tool/creao.md) |
| 6 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Combines AI task management with workflow automation, offering a more collaborative workspace than Gumloop's data pipeline focus. | [.md](https://openaitools.app/tool/taskade.md) |
| 7 | [PhantomBuster](https://openaitools.app/tool/phantombuster) | 279,012 | -10.1% | Freemium, Free Trial, Paid | Focuses specifically on cloud web scraping and lead generation automation rather than general AI agent workflows. | [.md](https://openaitools.app/tool/phantombuster.md) |
| 8 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Delivers enterprise-grade security and governance for automated workflows, but requires more deliberate setup than Gumloop. | [.md](https://openaitools.app/tool/tines.md) |
| 9 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Offers an open-source automation builder with prebuilt connectors, providing a self-hostable alternative to Gumloop's cloud platform. | [.md](https://openaitools.app/tool/activepieces.md) |
| 10 | [Nanonets](https://openaitools.app/tool/nanonets) | 221,826 | -10.6% | Free Trial, Paid, Contact for Pricing | Excels at automated document processing and data extraction, whereas Gumloop handles broader web automation and multi-app workflows. | [.md](https://openaitools.app/tool/nanonets.md) |

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Source: https://openaitools.app/compare/gumloop-vs-immuta

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