# Activepieces vs Patched

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Patched records 3,111 monthly visits with +30% growth and Paid, Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Patched](https://openaitools.app/tool/patched) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://patched.codes |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Workflow, AI Developer Tools, AI Agent, Large Language Models (LLMs) |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 258,553 | 3,111 |
| MoM Growth Rate | +1.5% | +30% |
| Primary Market | United States | United States |
| Direct Visits | 111,328 | 1,226 |
| Review Score | 4.6 | 4.1 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## Activepieces

Activepieces is an AI-first automation platform built around the idea that a team's agents and its people should share one workspace. At the center are AI agents: you describe a job in plain words and the agent works out the steps, the order and which tools to open across your connected apps and any MCP server you point it at. Sensitive steps can be gated behind human approval, so money, customer and production actions stay under control.

Underneath the agent layer sits a mature workflow engine with a visual builder. Chat can draft most of a flow, while branching, retries, waitpoints, subflows, error handling and human approvals handle the hard cases. Where a step needs real logic, you can drop into inline TypeScript and keep the rest visual. Chat, Tables (a lightweight structured data layer), a knowledge base and an MCP server round out the platform so agents and teammates operate on the same data.

The project is open source at its core, with hundreds of contributors maintaining MIT-licensed app pieces, and it deploys flexibly: Activepieces Cloud, your own Docker or Kubernetes infrastructure, or a fully air-gapped install. Enterprise controls include projects and access roles, SSO via Okta or Entra, secret managers such as HashiCorp Vault, audit logs streamed to your SIEM, and bring-your-own AI model keys from Anthropic, OpenAI, AWS Bedrock or Google Gemini.

**Pricing & Plans:** Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure.

- **AI agents from plain language:** Describe a task in everyday words and the agent determines the steps, chooses tools from your connected apps and MCP servers, and pauses for approval on sensitive actions.
- **Visual flow builder with inline TypeScript:** Build automations on a canvas with branching, retries, waitpoints, subflows and error handling, then write inline TypeScript for the steps that need real code.
- **770+ open-source app connectors:** Every piece is MIT-licensed and community-built, covering the apps you already run, with an HTTP piece for any REST or GraphQL endpoint with auth and pagination handled.
- **Chat, Tables and knowledge base:** Draft flows by chatting, store structured data in Tables that flows and agents can read and write, and keep internal documents searchable by every agent.
- **Enterprise deployment and governance:** Run on the managed cloud, your Docker/Kubernetes stack or air-gapped, with projects, SSO, role-based access, secret managers, audit logs and bring-your-own AI keys.

**Strengths:** Open-source core with MIT-licensed pieces and a genuinely self-hostable build; Strong blend of AI agents, a visual builder and inline TypeScript; Enterprise-grade controls including SSO, roles, secret managers and audit streaming; Large connector library plus an HTTP piece for anything not covered

**Limitations:** The breadth of agents, tables, flows and MCP features can overwhelm new users; Some advanced enterprise capabilities are reserved for paid and self-managed plans; Self-hosting means you own upgrades, scaling and reliability

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

## Patched

Patched positions itself differently from workflow orchestration tools: the pitch is execution, not orchestration. Teams describe a process, and Patched is meant to run it end to end, handling judgment-heavy and ambiguous cases that normally stall in a queue. The vendor reports throughput figures such as hundreds of thousands of workflows executed monthly, sub-hour average turnaround and resolution rates above 80 to 90 percent across published use cases.

The platform is aimed squarely at compliance-sensitive environments. It advertises compliant-by-design deployment on dedicated infrastructure, full auditability, SLA ownership and SOC 2 compliance, with named use cases in fraud and risk, banking customer operations and reconciliation. Because these teams cannot simply ship data to a shared public endpoint, the emphasis on isolated infrastructure and evidence trails is central to the offer.

Commercial terms are engagement-led: pricing scales with operational volume and prospects start by bringing their hardest workflow to a scoping call. The site is run by Patched Codes, Inc. and presents logos of publicly listed enterprises as references. Onboarding is quoted in weeks, with the vendor claiming operational deployment in roughly two to five weeks depending on the workflow.

**Pricing & Plans:** Pricing scales with operational volume and is quoted per engagement; the company asks prospects to book a call and start with their hardest workflow. No self-serve tier or public price list is shown on the homepage, and the pricing page is not publicly accessible to crawlers.

- **End-to-end workflow execution:** Patched takes a described process and runs it to completion, rather than producing outputs for a human to assemble and finish.
- **Auditability and compliance controls:** Systems are deployed on dedicated infrastructure with auditing built in, targeting regulated industries where evidence and traceability are mandatory.
- **SLA ownership:** The vendor takes responsibility for outcomes and resolution metrics, not just for keeping a system running.
- **Fraud and risk resolution:** Purpose-built for manual investigation backlogs, high false-positive rates and deadline pressure, with published case metrics from customer deployments.
- **Reconciliation and banking operations:** Handles cross-system referencing and zero-error-margin reconciliation work as well as high-volume banking customer requests.

**Strengths:** Focuses on completing regulated work end to end rather than selling another orchestration canvas; Compliance-first design with dedicated infrastructure and full auditability; Vendor accepts SLA ownership for outcomes, not just uptime; Published throughput and resolution metrics for specific operational use cases

**Limitations:** Pricing is not published and requires a sales conversation, which slows evaluation; No self-serve signup or free tier for hands-on testing; Deployments are quoted in weeks, so it is not an instant-solution tool

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

## Frequently Asked Questions

### How do Activepieces and Patched compare in monthly traffic?

Activepieces has 258,553 monthly visits, while Patched has 3,111. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Activepieces has a month-over-month growth rate of +1.5%; Patched has +30%.

### How does pricing compare?

Activepieces: Freemium. Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure. Patched: Paid, Contact for Pricing. Pricing scales with operational volume and is quoted per engagement; the company asks prospects to book a call and start with their hardest workflow. No self-serve tier or public price list is shown on the homepage, and the pricing page is not publicly accessible to crawlers.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [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) |
| 3 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Streamlined interface for deploying custom AI agents, but less flexible for traditional data integration pipelines. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 4 | [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) |
| 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Stronger focus on RAG knowledge bases and LLM application development, but less general business automation. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 6 | [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) |
| 7 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 8 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | A secure environment where teams build, deploy and govern AI agents, apps and automations | [.md](https://openaitools.app/tool/tines.md) |
| 9 | [SmartSuite](https://openaitools.app/tool/smartsuite) | 259,211 | +2% | Freemium | One connected, AI-native platform for GRC, IT, projects and operations | [.md](https://openaitools.app/tool/smartsuite.md) |
| 10 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Advanced multi-agent workforce builder for complex tasks, but less suited for traditional webhook integrations. | [.md](https://openaitools.app/tool/relevance-ai.md) |

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Source: https://openaitools.app/compare/activepieces-vs-patched

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