Make vs StellarFirm

Both are built for Automation & Agents — here's how Make and StellarFirm actually differ on pricing, platform reach and where each one is strongest.

At a glance

AttributeMakeStellarFirm
PricingFrom $9/moFreemium
PlatformsWeb, APIWeb, iOS, Android, Self-hosted
CategoriesAutomation & AgentsAutomation & Agents, Productivity, Chatbots
IntegrationsNot listed17 integrations

Where each stands

Make

Pros

  • The visual canvas makes complex, branching logic far easier to follow than a linear builder
  • Credit-based pricing is generally cheaper than task-based pricing at moderate volume
  • Deep customization via HTTP modules and a custom-app framework when the app catalogue falls short

Cons

  • The canvas has a steeper learning curve than simpler linear automation tools
  • Smaller integration catalogue than Zapier for less common apps
  • Debugging a large scenario with many branches can get visually cluttered

StellarFirm

Pros

  • You stay in control — approve before anything goes out
  • Assistants are customizable, not a fixed agent catalogue
  • Green mode can cut token use with smaller open-source models
  • Works with hosted credits or your own API keys
  • Built for complex, multi-step work, not only chat

Cons

  • The marketplace for selling agentic teams is not live yet
  • Best fit today is complex project work; light one-off chat may feel heavy
  • English-first product, so other languages may need more tuning

Which should you choose?

Make is the better fit for:

  • Building a multi-branch workflow that's easier to read as a diagram than a step list
  • Automating data transformations across a chain of apps with conditional logic
  • Orchestrating an AI step, such as summarizing or classifying, as part of a larger workflow
  • Calling an API that has no ready-made connector
  • Running a scheduled job that remembers what it did on the previous run
  • Handing a colleague a workflow they can read and change without your notes

StellarFirm is the better fit for:

  • Researchers and university labs running multi-step analysis and teaching workflows
  • Founders and operators who want agentic assistants for projects while keeping final say
  • Teams that need drafts and research done fast, then human approval before anything ships

Looking for more options? Browse every tool in the Automation & Agents category.

Related comparisons

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