Tonic.ai vs Mockoon
Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.
Entry price
Quote on request
Quote onlyFrom $100 per month (Team, billed annually, up to 5 members)
Free tierWhat drives the bill
The metric that actually scales your invoice.
Enterprise quote-based pricing by data volume and connected databases.
Free locally and forever; the paid cloud tier adds hosted mocks and team sync. Team covers 5 members, 3 cloud-deployed mocks and 100k calls a month, with Enterprise on a quote. Work emails get a 14-day trial, others 7 days with a card.
Free tier
Free trial.
The desktop app and CLI are free and open source.
Open source
MIT
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Established
Tonic.ai · since 2018
Widely used
Mockoon · since 2017
Strengths
- Preserves referential integrity and statistical distribution, so applications behave as they do in production.
- Directly addresses the GDPR and HIPAA exposure created by production data in lower environments.
- Subsetting produces a small but coherent slice rather than a full copy.
- Genuinely a minute from download to a working mock API.
- Dynamic templating with faker-style helpers produces realistic responses.
- Proxy mode mocks only the routes you need and passes the rest through.
Limitations
- Expensive, with enterprise-only pricing.
- Initial configuration of sensitive-field classification takes real effort.
- Adds a pipeline stage that must be maintained as the schema evolves.
- Desktop-first; sharing mocks across a team needs the paid cloud or a committed config file.
- HTTP only.
- Less suited to complex stateful behaviour than WireMock.
Best for
Organisations that currently copy production data into staging and know they should stop.
Front-end developers unblocking themselves while a backend is still being built.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.