# Gumloop vs nOps

Gumloop records 379,557 monthly visits with -21.1% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. nOps records 97,959 monthly visits with +13.8% growth and Usage-based pricing.

| Metric | [Gumloop](https://openaitools.app/tool/gumloop) | [nOps](https://openaitools.app/tool/nops) |
| :--- | :--- | :--- |
| Website URL | https://www.gumloop.com | https://www.nops.io |
| Categories | AI Workflow, No-Code&Low-Code, AI Agent, AI Web Scraping | AI For Finance, AI Copilot, AI Productivity Tools |
| Pricing Model | Freemium, Paid, Contact for Pricing | Usage-based |
| Monthly Visits | 379,557 | 97,959 |
| MoM Growth Rate | -21.1% | +13.8% |
| Primary Market | United States | United States |
| Direct Visits | 125,579 | 32,028 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 0 | 2 |
| 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)

## nOps

nOps is built on the observation that cloud commitments are routinely mismanaged: most teams capture only a fraction of the discounts available to them, and the manual work of buying and rebalancing Reserved Instances and Savings Plans does not scale beyond a monthly cadence. nOps addresses this with an autonomous optimization engine that continuously adjusts commitment levels across AWS, Azure, and GCP to raise Effective Savings Rate while minimizing lock-in risk.

The platform's second pillar is visibility. nOps gives hourly insight into multicloud, Kubernetes, SaaS, and AI costs, with allocation, reporting, dashboards, forecasting, and anomaly detection. A dedicated AI cost view allocates spend to specific models, teams, and features across providers such as Bedrock, OpenAI, Claude, and Cursor, so organizations can see which AI workloads are driving spend and where token efficiency, model choice, or caching could cut it.

nOps reports managing more than $5B in annual cloud spend across 500+ customers, from startups to enterprises, and presents customer references from companies such as CommentSold, Kurtosys, Arlo, and BENlabs. It is available on AWS Marketplace and integrates with Slack, Jira, Datadog, and Snowflake. Pricing combines a fixed fee for cost visibility and allocation with a share-of-savings model for autonomous rate optimization, plus a 14-day free trial.

**Pricing & Plans:** Usage-based and results-based. Autonomous Rate Optimization is charged as a share of realized savings; Cost Visibility & Allocation is a fixed fee based on cloud spend. A 14-day free trial and a free 30-minute savings analysis are available. nOps is also purchasable through AWS Marketplace.

- **Autonomous commitment management:** An autonomous engine maps your usage patterns hourly, buys the optimal mix of Reserved Instances, Savings Plans, and committed use discounts, and rebalances continuously to keep discounts high without locking you into long commitments.
- **Cost visibility and allocation:** See multicloud, Kubernetes, SaaS, and AI spend at hourly granularity, with business context, forecasting, anomaly detection, and unit economics that show what actually drives cost.
- **AI cost intelligence:** Allocate hourly AI spend to the model, account, team, customer, and feature behind it, covering providers such as Amazon Bedrock, OpenAI, Claude, and Cursor, with recommendations for token efficiency, model choice, and caching.
- **Savings tracking and workflows:** Track Effective Savings Rate, commitment coverage, and realized savings in real time, and route alerts and tasks into tools like Slack, Jira, Datadog, and Snowflake.
- **FinOps AI agent:** A FinOps AI agent answers cost questions and performs routine tasks in natural language, reducing the manual spreadsheet work that slows optimization.

**Strengths:** Automated commitment purchasing and rebalancing removes recurring manual work; Savings-share pricing aligns platform cost with measured results; Hourly multicloud, Kubernetes, SaaS, and AI cost visibility in one platform; AI cost allocation by model, team, and feature for emerging AI workloads

**Limitations:** Pricing for the visibility layer is quote-based and scales with cloud spend; Value depends on having meaningful committed-spend volume to optimize; Savings-share model means you hand over a percentage of realized savings; Full value requires connecting cloud accounts and granting read access

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

## Frequently Asked Questions

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

Gumloop has 379,557 monthly visits, while nOps has 97,959. 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%; nOps has +13.8%.

### 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. nOps: Usage-based. Usage-based and results-based. Autonomous Rate Optimization is charged as a share of realized savings; Cost Visibility & Allocation is a fixed fee based on cloud spend. A 14-day free trial and a free 30-minute savings analysis are available. nOps is also purchasable through AWS Marketplace.

## 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-nops

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