# Foundry vs n8n

Foundry records 1,296 monthly visits with -52.7% month-over-month growth and Contact for Pricing pricing. n8n records 4,522,449 monthly visits with -7.4% growth and Freemium pricing.

| Metric | [Foundry](https://openaitools.app/tool/foundry) | [n8n](https://openaitools.app/tool/n8n) |
| :--- | :--- | :--- |
| Website URL | https://www.thefoundryai.com | https://n8n.io |
| Categories | AI Agent, AI Developer Tools, AI Testing | AI Workflow, AI Agent, No-Code&Low-Code, AI Developer Tools |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 1,296 | 4,522,449 |
| MoM Growth Rate | -52.7% | -7.4% |
| Primary Market | United States | India |
| Direct Visits | 506 | 1,565,199 |
| Review Score | 4.3 | 4.7 |
| Saved Count | 0 | 4 |
| Supported Platforms | Website | Website |

## Foundry

Automating real web workflows is hard because the web itself is unstable. Sites change layout, block bots, throttle requests, and return different content depending on region or session — which means agent teams spend more time fighting infrastructure noise than improving their models. Foundry, built by a Y Combinator-backed team, attacks this problem directly by delivering pixel-perfect, reproducible browser environments. The platform's simulation layer generates deterministic web snapshots, so the same task produces the same environment every run, with no drift, no noise, and no rate limiting standing between an agent and a clean signal.

The second pillar is evaluation. Rather than returning a vague pass/fail score, Foundry tracks every agent action and classifies it — silent click failures, layout shifts, misfires and other error classes are surfaced explicitly. Teams get full state snapshots, state mutations and event logs after each trajectory, which they can diff against ground truth with their own heuristics. This makes it far easier to know whether a regression came from the model, the page, or the environment.

The third pillar is data and reinforcement learning. Foundry provides expert human annotators who build custom, long-horizon datasets for supervised fine-tuning of browser agents on real enterprise platforms, plus an RL environment (accessed through a Python SDK) where teams can safely sample and evaluate unlimited trajectories. Access is currently gated behind a private beta application, and the company also publishes benchmark leaderboard results for browser intelligence.

**Pricing & Plans:** Pricing is not published publicly. Foundry currently operates a gated private beta with an "Apply for Access" flow, and commercial terms are discussed directly with the team.

- **Deterministic browser simulation:** Pixel-perfect, reproducible browser environments that eliminate web drift, noise, and rate limits so agent runs are comparable over time.
- **Structured agent evaluation:** Every action is tracked, classified, and tagged — click failures, layout shifts, and misfires are surfaced rather than silently swallowed.
- **Expert-annotated datasets:** Human annotators build custom, long-horizon training data for supervised fine-tuning of browser agents on real enterprise platforms.
- **Unlimited RL trajectories:** Safely sample and evaluate large numbers of trajectories to train browser agents at scale, without running into anti-bot constraints.
- **Python SDK integration:** Plug Foundry into an existing agent workflow with an SDK that exposes task reset, CDP URL, final state, state mutations, and event logs.

**Strengths:** Purpose-built for browser/web agents rather than generic LLM evaluation; Reproducible environments remove a major source of confusing noise in agent benchmarks; Error classification is granular, helping teams attribute failures correctly; Combines simulation, data annotation, and RL in one platform instead of three vendors

**Limitations:** Access is limited to a private beta application, so onboarding is not self-serve; No public pricing, which makes budgeting hard before talking to sales

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

## n8n

n8n is a workflow automation platform built for technical teams who want automation they can actually read and audit. Rather than hiding logic behind opaque configuration, every step stays open: you can see what a node does and explain the whole flow to whoever runs it. It combines a drag-and-drop visual builder with the ability to drop into code at any point, so simple tasks stay simple while complex ones remain possible.

A major focus of the current product is AI agents. You can connect any model, watch an agent work step by step in the same workflow view, open past runs, and constrain behaviour with structured inputs and outputs, rule-based automation and human-in-the-loop approval gates. That makes it practical to put agents into processes like refund handling, alert triage, lead qualification and security investigation without losing control.

n8n is open source and can be self-hosted on-prem or with Docker to keep data in your own environment, or used as a hosted service. Enterprise capabilities add SSO with SAML and LDAP, RBAC, encrypted secret stores, audit logs, log streaming to SIEM systems, isolated environments and Git-based control. Integrations span 500+ native services, arbitrary HTTP APIs and MCP connections to agents and coding assistants.

**Pricing & Plans:** n8n offers a free self-hosted open-source edition, a paid cloud service with a free trial, tiered paid plans, and enterprise pricing on request. Feature limits scale with plan tier, so check the official pricing page for current details.

- **Visual builder with code escape hatch:** Build automations with a visual node editor, then insert JavaScript or Python code nodes when you need custom logic.
- **500+ integrations and any API:** Connect to 500+ native services, any REST API via HTTP nodes, and any agent or coding assistant through MCP.
- **AI agents you can follow and trust:** Run agents alongside regular steps, inspect every decision, and add structured inputs, guardrails and human approval steps.
- **Observability and reproducible runs:** Watch workflows execute live, open past runs, replay a run with mocked data and re-run just the step that failed.
- **Self-host or cloud with governance:** Deploy on your own infrastructure with Docker or on-prem, or use the hosted cloud product, with version history and RBAC.

**Strengths:** Open source and self-hostable, keeping data in your own environment; Visual builder plus full code access for complex workflows; Strong observability: live runs, past-run inspection and step-level retries; 500+ integrations and generic HTTP nodes cover almost any service

[Profile (Markdown)](https://openaitools.app/tool/n8n.md)

## Frequently Asked Questions

### How do Foundry and n8n compare in monthly traffic?

Foundry has 1,296 monthly visits, while n8n has 4,522,449. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Foundry has a month-over-month growth rate of -52.7%; n8n has -7.4%.

### How does pricing compare?

Foundry: Contact for Pricing. Pricing is not published publicly. Foundry currently operates a gated private beta with an "Apply for Access" flow, and commercial terms are discussed directly with the team. n8n: Freemium. n8n offers a free self-hosted open-source edition, a paid cloud service with a free trial, tiered paid plans, and enterprise pricing on request. Feature limits scale with plan tier, so check the official pricing page for current details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Unmatched ecosystem of app connectors and reliability, but significantly more expensive and lacks n8n's self-hosting freedom. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Run thousands of ready-made web scrapers and AI agents from one cloud platform | [.md](https://openaitools.app/tool/apify.md) |
| 4 | [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) |
| 5 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 6 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Outstanding open-source visual canvas for RAG pipelines and LLM agents, but less suited for general API integrations. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 7 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | The environments frontier AI trains on, and the agents that do the recurring work | [.md](https://openaitools.app/tool/labelbox.md) |
| 8 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Multiplayer AI where people and agents work side by side | [.md](https://openaitools.app/tool/dust.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 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Powerful visual builder specifically tailored for complex AI agent workflows, but less mature for traditional enterprise automation. | [.md](https://openaitools.app/tool/gumloop.md) |

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Source: https://openaitools.app/compare/foundry-vs-n8n

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