Clay score factors
Editorial quality84
Practical utility86
Trust & transparency80
Freshness88
Engagement quality3
Momentum100
Decision guide · Reviewed Sep 2, 2026 · AI Automation & Workflows, AI Web Scraping & Data Extraction
Clay
78.7
n8n
81Choose Clay when you need growth and sales operations teams building custom enrichment and outbound pipelines with AI research. Choose n8n when you need developers and technical operations teams who want self-hostable automations with AI agents and code nodes.
At a glance
The practical differences
| Decision factor | Clay | n8n |
|---|---|---|
| Best for | growth and sales operations teams building custom enrichment and outbound pipelines with AI research | developers and technical operations teams who want self-hostable automations with AI agents and code nodes |
| Not ideal for | individual sellers who want a simple contact database and sequencing in one tool | non-technical users seeking the simplest hosted automation experience |
| Pricing | A free plan includes a small monthly credit allowance; Starter, Explorer, Pro, and Enterprise plans add credits and features at the review date, with data providers consuming credits per lookup. Verify current terms on the official pricing page. | The community edition is free to self-host under a fair-code licence; n8n Cloud offers Starter, Pro, and Enterprise plans priced by executions at the review date. Confirm current terms on the official pricing page. |
| Key difference | Waterfall enrichment across many providers plus per-row AI research, giving teams programmable prospecting without engineering. | Self-hostable automation with first-class AI agent building and code flexibility. |
| Overall rank | #53 | #23 |
| Review verdict | Excellent for teams that want control over data quality and personalisation at scale. Credit costs and the learning curve mean casual users should start with simpler prospecting tools. | The best choice for technical teams that want control over hosting and want to build AI agents into workflows. Non-technical users may find hosted no-code builders easier. |
n8n score factors
Editorial quality86
Practical utility88
Trust & transparency84
Freshness90
Engagement quality5
Momentum100
Clay strengths
- Unmatched provider coverage
- Powerful AI per-row research
- Flexible integrations
- Free plan to learn
n8n strengths
- Free self-hosting
- Strong AI agent features
- Code flexibility
- Active community
Frequently asked
Clay vs n8n
Should I choose Clay or n8n?+
Choose Clay when you need growth and sales operations teams building custom enrichment and outbound pipelines with AI research. Choose n8n when you need developers and technical operations teams who want self-hostable automations with AI agents and code nodes. ToolsRank scores Clay 78.7 and n8n 81; the gap reflects editorial quality, utility, trust, and freshness, not popularity or payment.
Is Clay cheaper than n8n?+
Clay: A free plan includes a small monthly credit allowance; Starter, Explorer, Pro, and Enterprise plans add credits and features at the review date, with data providers consuming credits per lookup. Verify current terms on the official pricing page. n8n: The community edition is free to self-host under a fair-code licence; n8n Cloud offers Starter, Pro, and Enterprise plans priced by executions at the review date. Confirm current terms on the official pricing page. Compare the plan you would actually use and verify current prices on each vendor's pricing page before purchasing.
Which is better for ai automation & workflows?+
n8n currently scores higher for ai automation & workflows work. Clay remains the stronger pick when your priority is growth and sales operations teams building custom enrichment and outbound pipelines with AI research. Avoid n8n if you are non-technical users seeking the simplest hosted automation experience.
Can I use Clay and n8n together?+
Yes. Clay stands out for waterfall enrichment across many providers plus per-row AI research, giving teams programmable prospecting without engineering. n8n stands out for self-hostable automation with first-class AI agent building and code flexibility. Pairing them makes sense when one workflow needs both strengths; otherwise pick the tool that matches your primary job.