Overview

Specifications sit at the center of Apidog’s workflow: the platform can generate request parameters, body content, and mock data from them, then validate responses against them. That makes Apidog a candidate for teams that want design and testing work to stay connected rather than spread across separate tools. It also supports GraphQL and SOAP.

Deployment choices include Global and Europe SaaS services and an on-premises option hosted on the customer’s servers. Apidog says it uses AWS hosting, access controls, and encryption, including TLS 1.3 for data in transit. Its desktop client sends requests directly from the user’s computer to the target server, rather than routing them through Apidog’s servers.

Key features

Specification-led testing and mocks

Generating requests and mock data from specifications can reduce repetitive setup, while response validation helps teams check whether implementations match those specifications. A mock server supports work before a live service is ready. Scheduled runs and contract testing extend the workflow beyond ad hoc requests.

Visual automation and integrations

Users can arrange request sequences visually, add assertions, extract variables, and save requests as endpoint cases. The CLI integrates with Jenkins, GitHub, and GitLab, and activity notifications can go to Slack or webhook-compatible tools. These options make Apidog a stronger fit for teams connecting API checks to existing delivery workflows than for someone who only needs a simple request client.

Migration and database operations

Postman data import and Postman script support can ease a move from that tool. Database operations cover MySQL, SQL Server, PostgreSQL, and Oracle on Free; ClickHouse, MongoDB, and Redis require a paid tier. The visual database interface supports standard SQL queries but not complex operations such as stored procedures, so it is not a replacement for a full database administration tool.

Pricing

Apidog is freemium and offers a 14-day trial. The Free plan costs 0.00 USD per free, is time-unlimited, and allows four users. It is a practical starting point for a small team, but the user cap may rule it out for larger groups, and several database integrations are held back for paid tiers.

Basic costs 12.00 USD per month and includes 20 team projects, making it the clearest step up for teams that need more project room. Professional costs 24.00 USD per month and adds advanced control and priority support; it is better suited to teams that need those capabilities rather than just additional project capacity. Enterprise is shown at 27.00 USD per year, billed annually with the price shown per month, and includes SSO, compliance features, 24/7 support, and the on-premises edition. That package is aimed at organizations with deployment or governance requirements, not individual users.

The general pricing note also says paid plans start at $9/user/mo (annual). That annual starting rate differs from the listed monthly Basic and Professional prices, so readers should distinguish the annual entry price from those month-to-month plan amounts.

Platforms

Apidog supports API workflows, browser extensions, Linux, macOS, Windows, web access, and self-hosted deployment. The mix suits teams with varied desktop environments or a requirement to host the service themselves.

Who it's for

Apidog is best for API teams that want specification-based design and validation alongside mocks, automated request sequences, and CI/CD integration. It is less compelling for a solo user seeking only a lightweight client, or for database work involving stored procedures.

Pros and cons

Pros

Specifications can drive request generation, mock data, and response validation, connecting design artifacts to testing.
Visual request sequences, scheduled runs, contract testing, and CI/CD integrations support repeatable team workflows.
A four-user, time-unlimited free plan and SaaS or on-premises deployment provide different ways to get started and operate.

Cons

The Free plan stops at four users, which limits its usefulness for larger teams.
ClickHouse, MongoDB, and Redis integrations require a paid tier.
The visual database interface does not support complex operations such as stored procedures.

Alternatives

Postman is worth considering for teams seeking a freemium API client with a free plan that includes core tools, specs, mock servers, Native Git, and Collection Runner.

Bruno suits users who prefer a free Open Source plan with two workspaces and five OpenAPI syncs per month, or a Pro tier at 6.00 USD per month billed annually.

Kreya may suit individuals who want a free plan, though request history is limited to the latest request.

Pact is an alternative for readers considering open-source contract testing tooling.

Insomnia is another freemium option, with an Essentials plan that allows three users for Git Sync projects and 1,000 mock server requests per month.

PactFlow is another freemium option for readers exploring Pact-related tooling.

Hoppscotch offers a free plan for REST, GraphQL, and realtime API testing, with a personal workspace, collections, environments, and pre-request scripts.

Karate is a free framework option for REST, GraphQL, and SOAP API testing, as well as browser and desktop UI automation and Gatling performance testing.

For broader comparisons, see API Testing Tools, API Design Tools, and API clients.

Verdict

Choose Apidog if your team wants one specification-centered workflow spanning API design, mocks, testing, documentation, and delivery automation. Its free tier offers a meaningful entry point for up to four users, while database integration limits and the small-team cap are reasons to look elsewhere or move to a paid plan. Teams needing SSO, compliance features, or customer-hosted deployment should consider Enterprise.

	Apidog	GraphQL Hive
Free plan	Yes	Yes
Free trial	Yes	Yes
Paid from	$9/mo	$20/mo
Open source	No	No
Platforms	api, extension, Linux, macOS, self-hosted, Web, Windows	api, self-hosted, Web
Free plan	Yes	Yes
Paid from	9 /user/mo	—
Mock server	Yes	Yes
Team collaboration	—	Yes

Apidog vs GraphQL Hive

Apidog

GraphQL Hive