# Gumloop vs Leapility

Gumloop records 379,557 monthly visits with -21.1% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Leapility records 0 monthly visits with 0% growth and Freemium pricing.

| Metric | [Gumloop](https://openaitools.app/tool/gumloop) | [Leapility](https://openaitools.app/tool/leapility) |
| :--- | :--- | :--- |
| Website URL | https://www.gumloop.com | https://www.leapility.com |
| Categories | AI Workflow, No-Code&Low-Code, AI Agent, AI Web Scraping | AI Agent, AI Workflow, AI Knowledge Base, No-Code&Low-Code |
| Pricing Model | Freemium, Paid, Contact for Pricing | Freemium |
| Monthly Visits | 379,557 | 0 |
| MoM Growth Rate | -21.1% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 125,579 | 0 |
| Review Score | 4.4 | 4.1 |
| 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)

## Leapility

Leapility positions itself as a trading and distribution hub for the "expertise economy" in the agentic age. Instead of selling hours or static courses, experts use the platform to turn their know-how into living AI assets. The core building block is a Kit, which bundles a Knowledge Base of multimodal source material, reusable Skills, a Playbook that describes the workflow, and an executable Agent that can actually take action rather than just chat.

The platform frames its method as the AIM model — Agent, Influence and Marketability — aimed at "AI-native solopreneurs" who want their expertise to earn beyond their working hours. The typical path is to modularize expertise, build and test it in the Agent OS, publish and distribute it, then iterate as knowledge evolves so assets compound in value over time.

Leapility stresses differentiation around ownership and portability: experts can deliver value through black-box access without revealing the underlying IP, and Kits are not locked to a single model ecosystem thanks to MCP and CLI access. Distribution also happens through a marketplace and community of experts, and the homepage advertises an "Expert 100" program for early participants.

**Pricing & Plans:** Freemium-style model. Create and build inside the Agent OS, then monetize through published Kits; the homepage mentions a License Fee plus a 20% markup on token consumption for successful transactions. Check the site for current plan details.

- **Agent Kits:** Bundle knowledge, skills, playbooks and an executable agent into a single subscribable asset.
- **Knowledge Base:** Store multimodal source material — documents, text, audio and video — behind your expertise.
- **Build, test and iterate:** Develop and refine assets in one Agent OS so they keep improving as your know-how evolves.
- **MCP and CLI access:** Kits are a neutral asset layer that subscribers can reach from different platforms and tools.
- **Marketplace and distribution:** Publish to an expert community and turn expertise into products distributed through a market loop.

**Strengths:** Frames expertise as reusable, evolving assets rather than one-off content; MCP and CLI support keeps assets portable across model ecosystems; Black-box delivery helps experts protect their underlying methodology; Clear builder workflow from knowledge capture through to monetization

**Limitations:** Early-stage platform, so marketplace liquidity and content depth are still developing; Pricing details are not published on a dedicated public pricing page

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

## Frequently Asked Questions

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

Gumloop has 379,557 monthly visits, while Leapility has 0. 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%; Leapility has 0%.

### 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. Leapility: Freemium. Freemium-style model. Create and build inside the Agent OS, then monetize through published Kits; the homepage mentions a License Fee plus a 20% markup on token consumption for successful transactions. Check the site for current plan details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [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) |
| 3 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 4 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 5 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 6 | [Runable](https://openaitools.app/tool/runable) | 1,048,370 | -1.9% | Freemium | One AI agent to build, run and grow the work | [.md](https://openaitools.app/tool/runable.md) |
| 7 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 8 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | AI agents that run recurring business work for your team | [.md](https://openaitools.app/tool/creao.md) |
| 9 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 10 | [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) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
