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Developer Tools · head to head

Refact vs Speakeasy

Refact logo

Refact

Developer Tools

Autonomous AI coding agent for development tasks

From
Free
Free plan
Yes
Speakeasy logo

Speakeasy

Cybersecurity

AI control plane for governing enterprise agents, MCP servers, and skills

From
On request
Free plan
No

The short version

  • Only Refact has a free tier, so it costs nothing to try first.
  • Each has a real cost: Refact requires configuration for optimal performance; Speakeasy no self-serve pricing is published; every plan requires a sales conversation.
  • They diverge on capability: Refact covers Autonomous agent workflows, Speakeasy covers AI tool catalog.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Refact and Speakeasy actually diverge.

Attributes where Refact and Speakeasy differ
AttributeRefactSpeakeasy
Starting priceFreeOn request
Pricing modelFreemium with paid tiersquote
Free tierYesNo
PlatformsVS Code, Webweb, api
CategoryDeveloper ToolsCybersecurity
Founded2023Unknown

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Refact

  • Autonomous agent workflows
  • IDE chat
  • Real-time code completions
  • GitHub integration
  • Database integration
  • On-premise deployment
  • Multi-LLM support
  • 25+ language support

Only in Speakeasy

  • AI tool catalog
  • Per-agent identity
  • Role-based access control
  • Real-time policy enforcement
  • Audit logging
  • MDM and SSO integration

What people use each for

The jobs each tool is most often brought in to do.

Refact

  • Autonomous code generation for development tasksnot Speakeasy
  • End-to-end bug fixes and refactoringnot Speakeasy
  • Multi-language software development accelerationnot Speakeasy
  • Enterprise development with data privacy requirementsnot Speakeasy

Speakeasy

  • Governing AI agents at enterprise scalenot Refact
  • Preventing shadow AI tool sprawlnot Refact
  • Enforcing least-privilege access for agentsnot Refact
  • Auditing AI tool call activity for compliancenot Refact

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Refact

  • Requires configuration for optimal performance
  • On-premise deployment adds operational complexity
  • Free tier limited by daily agent request quota
  • Coin system adds complexity to cost calculation

Speakeasy

  • No self-serve pricing is published; every plan requires a sales conversation.
  • The product pivoted away from its original SDK-generation offering, so past documentation and customers built on that use case are no longer the focus.
  • Requires integration with an existing identity provider such as Okta or Entra ID to be useful, so it is not a standalone solution.
  • No published free tier or trial pricing was found.

Pricing, plan by plan

Refact

Free
  • FreeFree
    • Limited daily agent usage
    • Unlimited completions
    • 2,000 coins for agent and chat
  • Pro$10/month
    • 40 daily agent requests
    • 64k context window
    • 10,000 coins monthly
  • Enterprise$undefined/custom
    • On-premise deployment
    • Custom coin allocation
    • Fine-tuning support

Speakeasy

On request
  • Enterprise$undefined/mo
    • Custom pricing
    • AI tool catalog and visibility
    • Per-agent identity and access control

Which should you pick?

Choose Refact if

  • You need autonomous agent workflows.
  • You want to start without paying.
  • You work on VS Code, Web.
  • You also want ide chat.

Choose Speakeasy if

  • You need ai tool catalog.
  • You work on web, api.
  • You also want per-agent identity.

Questions people ask

Is Refact or Speakeasy better?
Neither clearly leads. Refact starts at Free and Speakeasy at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Refact or Speakeasy?
Refact has a free tier; the other does not. Paid plans start at Free for Refact and On request for Speakeasy.
Does Refact or Speakeasy run on more platforms?
Refact runs on VS Code, Web. Speakeasy runs on web, api.
Can I use Refact for free?
Yes. Refact has a free tier, so you can try it without paying. Speakeasy starts at On request.
What is Refact best used for?
Refact is most often used for autonomous code generation for development tasks, end-to-end bug fixes and refactoring, multi-language software development acceleration, enterprise development with data privacy requirements. Of those, autonomous code generation for development tasks and end-to-end bug fixes and refactoring are not what Speakeasy is typically brought in for.
What can Refact do that Speakeasy cannot?
Refact covers Autonomous agent workflows, IDE chat, Real-time code completions, GitHub integration. Speakeasy covers AI tool catalog, Per-agent identity, Role-based access control, Real-time policy enforcement.

Answered from the vendors’ own pages

Refact: How many programming languages does Refact support?

Refact supports 25+ programming languages including Python, JavaScript, Go, Rust, Java, C++, and many others.

Source
Speakeasy: How much does Speakeasy cost?

Speakeasy offers an Enterprise tier with features including SaaS catalog integrations, custom server creation, code mode efficiency, and serverless hosting. No specific pricing is published; interested parties contact the company to discuss pricing.

Source
Refact: Can I deploy Refact on-premises?

Yes. Refact offers on-premise deployment options for organizations requiring complete data control and privacy.

Source
Speakeasy: What is included in Speakeasy's Enterprise plan?

The Enterprise plan includes SaaS catalog integrations, custom server creation, code mode efficiency, and serverless hosting. Customers contact Speakeasy to discuss their specific pricing for these features.

Source
Refact: What LLMs does Refact support?

Refact works with multiple LLMs including Claude, GPT-4, and open-source models, giving you flexibility in model selection.

Source
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