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APIs · head to head

Apidog vs Skyflow

Apidog logo

Apidog

APIs

All-in-one platform for API design, documentation, testing, and mocking

From
Free
Rated
-
Full reviewWebsite
Skyflow logo

Skyflow

APIs

Data privacy vault that holds sensitive records outside your own systems

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Apidog has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apidog free plan is capped at 4 users, limiting larger teams from using it at no cost.; Skyflow reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • They diverge on capability: Apidog covers API design and documentation, Skyflow covers Tokenised storage.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Apidog and Skyflow actually diverge.

Attributes where Apidog and Skyflow differ
AttributeApidogSkyflow
Starting priceFreeOn request
Pricing modelfreemiumquote
Free tierYesNo
Platformsweb, windows, mac, linuxAPI, Web, Self-hosted

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

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 Apidog

  • API design and documentation
  • Mock servers
  • Automated testing
  • Team collaboration
  • Scheduled imports
  • Branded documentation

Only in Skyflow

  • Tokenised storage
  • Polymorphic encryption
  • Field level access policies
  • Data residency
  • Secure functions
  • PCI scope reduction
  • Detokenisation gateway
  • Audit trail

What people use each for

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

Apidog

  • Designing and documenting APIs in a shared team workspacenot Skyflow
  • Mocking API responses for frontend development before backend is readynot Skyflow
  • Running automated API test suitesnot Skyflow
  • Replacing separate Postman, Swagger, and mock-server tools with one platformnot Skyflow

Skyflow

  • A fintech that wants card and bank account data out of its own infrastructure so its application servers leave PCI DSS assessment scopenot Apidog
  • A company entering India or the EU with data localisation obligations that would otherwise require standing up regional databases and operationsnot Apidog
  • A health technology business that needs protected health information isolated from the analytics stack while still supporting aggregate reportingnot Apidog
  • An engineering team that wants support agents to see masked identifiers and payment services to see real ones, enforced centrally rather than in every servicenot Apidog

Where each one falls short

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

Apidog

  • Free plan is capped at 4 users, limiting larger teams from using it at no cost.
  • Faster scheduled imports and unlimited projects require the Professional tier or higher.
  • Smaller community and plugin ecosystem compared to long-established tools like Postman.
  • Advanced enterprise security controls require the top-tier Enterprise plan.

Skyflow

  • Reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • Every read of a protected field becomes a network call to a third party, so latency and an external availability dependency enter paths that were previously local database reads, and outage planning has to account for a vendor you do not control.
  • Analytics and joins on vaulted data are constrained; work that was a simple SQL join now happens through secure functions or on tokens, and data teams routinely discover this after the engineering team has committed.
  • Unwinding the vault later is a rewrite rather than a migration because tokens are threaded through every service, so the switching cost climbs steadily and the negotiating position at renewal weakens with each release.
  • Scope reduction is an architectural claim your own assessor must accept, so the audit saving is real only if the implementation genuinely keeps sensitive values off your systems, and partial implementations that leave a cache or a log line in place deliver the cost without the benefit.

Pricing, plan by plan

Apidog

Free
  • FreeFree
    • Up to 4 users
    • Core design, mock, and testing features
  • Basic$9/month
    • Per-seat pricing billed annually
    • Expanded team collaboration
  • Professional$18/month
    • Unlimited projects
    • Team-level shared variables
    • Faster scheduled imports
  • Enterprise$27/month
    • Advanced admin and security controls
    • Priority support

Skyflow

On request
  • Skyflow Data Privacy Vault$undefined/year
    • Platform fee plus usage by data subject count
    • Priced additionally per data residency region
    • PCI Level 1, SOC 2 Type 2, ISO 27001 and HIPAA coverage

Which should you pick?

Choose Apidog if

  • You need api design and documentation.
  • You want to start without paying.
  • You work on web, windows, mac, linux.
  • You also want mock servers.
Apidog review

Choose Skyflow if

  • You need tokenised storage.
  • You work on API, Web, Self-hosted.
  • You also want polymorphic encryption.
Skyflow review

Questions people ask

Is Apidog or Skyflow better?
Neither clearly leads. Apidog starts at Free and Skyflow at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apidog or Skyflow?
Apidog has a free tier; the other does not. Paid plans start at Free for Apidog and On request for Skyflow.
Does Apidog or Skyflow run on more platforms?
Apidog runs on web, windows, mac, linux. Skyflow runs on API, Web, Self-hosted.
Can I use Apidog for free?
Yes. Apidog has a free tier, so you can try it without paying. Skyflow starts at On request.
What is Apidog best used for?
Apidog is most often used for designing and documenting apis in a shared team workspace, mocking api responses for frontend development before backend is ready, running automated api test suites, replacing separate postman, swagger, and mock-server tools with one platform. Of those, designing and documenting apis in a shared team workspace and mocking api responses for frontend development before backend is ready are not what Skyflow is typically brought in for.
What can Apidog do that Skyflow cannot?
Apidog covers API design and documentation, Mock servers, Automated testing, Team collaboration. Skyflow covers Tokenised storage, Polymorphic encryption, Field level access policies, Data residency.

Answered from the vendors’ own pages

Apidog: What does Apidog cost?

Apidog offers a free plan for up to 4 users, with paid per-seat plans at roughly $9/month for Basic, $18/month for Professional, and $27/month for Enterprise when billed annually.

Source
Skyflow: Does Skyflow really take my systems out of PCI scope?

It can, if card data never touches your infrastructure and the detokenisation happens at the boundary. Your QSA has to agree the design, so validate the architecture with your assessor before signing.

Apidog: Is there a free plan, and what are its limits?

The free plan supports up to 4 users with access to core design, documentation, mocking, and testing features.

Source
Skyflow: What does it cost?

Nothing is published. Reported annual contracts sit around 195,000 US dollars, built from a platform fee plus usage by data subject count and additional charges per data residency region.

Apidog: Can I try paid plans before subscribing?

Paid plans include a 14-day free trial, giving teams full access to premium features before committing to a subscription.

Source
Skyflow: How does it help with data localisation?

Records can be pinned to a specified region, so an Indian or EU residency requirement is met by the vault rather than by you running regional databases and operations teams.

Skyflow: Can I still run analytics on vaulted data?

Partly. Aggregates and comparisons are supported through polymorphic encryption and secure functions, but arbitrary joins against other datasets are harder than they were, and this is the most common late surprise.

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