# Boost.space 3 vs Gumloop

Boost.space 3 records 34,892 monthly visits with -39.3% month-over-month growth and Contact for Pricing pricing. Gumloop records 379,557 monthly visits with -21.1% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Boost.space 3](https://openaitools.app/tool/boost-space-3) | [Gumloop](https://openaitools.app/tool/gumloop) |
| :--- | :--- | :--- |
| Website URL | https://boost.space | https://www.gumloop.com |
| Categories | AI Workflow, AI Agent, No-Code&Low-Code, AI For Data Analytics | AI Workflow, No-Code&Low-Code, AI Agent, AI Web Scraping |
| Pricing Model | Contact for Pricing | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 34,892 | 379,557 |
| MoM Growth Rate | -39.3% | -21.1% |
| Primary Market | United States | United States |
| Direct Visits | 16,269 | 125,579 |
| Review Score | 4 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Boost.space 3

Boost.space 3 marks a shift from classic two-way data sync and no-code automation to an agent-first operating model. Instead of assembling flows app by app, teams launch an AI agent trained for a specific function and let it work toward a long-term goal. The first agent is Bob, a Product Catalog Agent aimed at commerce teams: it analyzes a product catalog against external commerce records, proposes a plan, executes it, and reports on results. According to the site, a first goal is typically scoped and launched with Boost.space's team, with ROI reviewed after roughly four weeks.

Underneath the agents, AgentOS provides six pillars: a data layer that gives each agent current business context, an action layer that turns approved processes into repeatable agent work, a security layer that controls what each agent can access, a skills and connections layer for reusable approved tools, an AI and data wallet that governs supported AI and external data services in one commercial layer, and value metrics that tie measured agent activity to estimated business value. The idea is that a second agent does not restart from zero, it reuses shared context, skills, and connections while keeping its own permissions.

Boost.space also remains an integration platform: it connects thousands of business apps, keeps data synchronized in both directions, and standardizes records so agents and automations work on clean, consolidated data. Pricing is quoted rather than listed publicly, with a one-time agent launch fee mentioned on the homepage alongside a monthly AgentOS plan for managed services, product data, and ongoing agent support. AI usage and hosting are billed separately.

**Pricing & Plans:** Contact for pricing. The homepage advertises a one-time agent launch (listed at $2,500) that includes the first month of AgentOS; managed AgentOS services, product database access, and AI/hosting usage are billed separately on monthly plans.

- **Role-specific AI agents:** Launch agents trained for real business roles rather than generic chat assistants. Bob, the Product Catalog Agent, is the starting point for commerce teams.
- **AgentOS six-pillar platform:** Data, action, security, skills and connections, AI and data wallet, and value metrics layers give every agent governed context, tools, and permissions.
- **Two-way data sync and consolidation:** Connect thousands of apps, synchronize records both ways, and standardize messy data into a single consistent picture for agents and automations.
- **Commerce intelligence at scale:** Bob works against a large commerce record set to find pricing, enrichment, marketplace, and GEO/visibility opportunities for product catalogs.
- **Goal-based reporting:** Agents agree a plan with you, execute it, and report measured results, with value metrics connecting agent activity to estimated business impact.

**Strengths:** Clear move from generic automation to accountable, role-based AI agents; Governed data, security, and permissions layers reused across every agent; Long-standing app integration and two-way sync foundation; Transparent one-time launch offer with a defined first goal and ROI review

**Limitations:** No public self-serve price list, so budgeting requires a sales conversation; AgentOS monthly services, managed data, and AI usage are separate costs; Value depends heavily on catalog and CRM data quality to begin with

[Profile (Markdown)](https://openaitools.app/tool/boost-space-3.md)

## 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)

## Frequently Asked Questions

### How do Boost.space 3 and Gumloop compare in monthly traffic?

Boost.space 3 has 34,892 monthly visits, while Gumloop has 379,557. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Boost.space 3 has a month-over-month growth rate of -39.3%; Gumloop has -21.1%.

### How does pricing compare?

Boost.space 3: Contact for Pricing. Contact for pricing. The homepage advertises a one-time agent launch (listed at $2,500) that includes the first month of AgentOS; managed AgentOS services, product database access, and AI/hosting usage are billed separately on monthly plans. 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.

## 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 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | The AI-native CRM for agentic revenue teams | [.md](https://openaitools.app/tool/attio.md) |
| 6 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/boost-space-3-vs-gumloop

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