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n8n vs Relevance AI

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both have one
Public API
Both have one
Higher Trust score
Relevance AI — 87 vs 75 for n8n
Best fit
n8n: Technical teams that want to self-host automation with Docker, on-prem or air-gapped · Relevance AI: Ops and go-to-market teams automating repetitive research or outreach
Platforms
n8n: Web, Linux · Relevance AI: Web

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

Factn8nRelevance AI
CategoryWorkflow Automation PlatformsAI Agents & Autonomous Workers
Pricing modelFreemiumFreemium
Public APIYesYes
Trust score75 / 10087 / 100
PlatformsWeb, Linux, APIWeb, API
Companyn8n GmbHOnSearch Pty Ltd
Launched—2020
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

n8n

The automation tool to pick when you want agents and integrations on one canvas and the option to run it on your own hardware; self-hosting from GitHub is the escape hatch Zapier and Make do not offer. Cloud pricing is per execution rather than per task, which rewards long workflows, but the monthly figures hide behind a toggle and the Business tier is a self-hosted licence at a very different price point.

Pros

  • Self-hosted Community Edition on GitHub under a fair-code licence, with 207k stars
  • Agent, model, MCP and RAG nodes alongside 500+ app integrations
  • JavaScript or Python at any step, with a canvas that traces agent reasoning
  • Execution-based cloud billing with unlimited steps per execution
  • Public REST API on all self-hosted editions and on cloud Starter and above

Cons

  • Cloud prices were shown only in euros and only as annual-billing figures
  • Business tier (€667 a month) is self-hosted only, with cloud availability on a waitlist
  • Fair-code licence is not OSI open source, which matters for some corporate policies
  • Forum-only support below Enterprise

Relevance AI

A credible no-code agent builder, but pricing has moved behind a sales conversation and the two-meter billing makes running cost genuinely hard to forecast.

Pros

  • Agents get tools, knowledge and schedules without any code
  • Free tier of 200 actions a month is enough to prototype something real
  • Model cost is passed through without markup on vendor credits
  • Agents can be grouped into teams that hand work between each other

Cons

  • Self-serve prices are no longer published anywhere on the site
  • Two simultaneous meters make budgeting awkward and surprises likely
  • Top-up rates are steep at $80 per 1,000 actions
  • Smaller vendor than the incumbents it is competing against

Which one fits

Choose n8n if you need

  • Technical teams that want to self-host automation with Docker, on-prem or air-gapped
  • Builders combining LLM agents, MCP tools and RAG with ordinary app integrations
  • Workflows with many steps, since billing counts executions rather than individual operations

Choose Relevance AI if you need

  • Ops and go-to-market teams automating repetitive research or outreach
  • Companies that want working agents without hiring engineers to build them
  • Workloads where per-task cost matters more than per-seat cost

n8n vs Relevance AI: the questions people ask

Does n8n or Relevance AI have a free tier?

Both: n8n has a free tier, and Relevance AI has a free tier.

Which has a public API, n8n or Relevance AI?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

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