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API Testing Services

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API Testing

API Testing Services

CloudOryx provides API testing services that check your REST, GraphQL and SOAP APIs for correct data, clear errors, secure access and stable contracts, before a broken endpoint takes down your web app, mobile app or partner integration. We design the tests, automate them in your pipeline, and monitor the APIs your business depends on.

  • Darien, IL head office
  • Islamabad delivery center
  • Free consultation

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API Testing Services by CloudOryx

Our US head office is in Darien, IL (Chicago area), and our QA engineers work from our delivery center in Islamabad, Pakistan. We test APIs for SaaS platforms, mobile backends, integrations and healthcare systems.

Key takeaways

  • API testing services check business rules, data, errors, security and contracts directly at the API layer, without going through a user interface.
  • API tests run in seconds, break less often than UI tests and find bugs earlier.
  • Contract tests stop one team’s change from silently breaking another team’s app.
  • Security checks follow the OWASP API Security Top 10, the most common baseline for API risks.

Have an API that keeps breaking your apps or partners? Share your API docs, and we’ll show you where testing should start.

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On this page 11 sections
  1. What API testing services include
  2. API testing vs UI testing
  3. Types of API tests we run
  4. REST, GraphQL and SOAP testing
  5. Contract testing
  6. API security testing
  7. Third-party integrations and mocking
  8. Tools and CI/CD
  9. Healthcare and FHIR APIs
  10. How we start
  11. FAQs

What API testing services include

What do API testing services include?

API testing services check that each endpoint of an application programming interface (API) accepts the right input, returns the right data and status codes, rejects bad requests clearly, enforces access rules and performs well. Testing happens directly against the API, so problems are found before they reach any screen.

Our API testing work usually includes:

  • Reviewing your API documentation, such as an OpenAPI (Swagger) file or GraphQL schema.
  • Designing test cases for each endpoint: happy paths, edge cases and error cases.
  • Automated test suites that run on every build in your CI/CD pipeline.
  • Contract and schema checks between services and consumers.
  • Security checks for authentication, authorization and data exposure.
  • Load checks on key endpoints, with deeper load tests when needed.
  • Clear defect reports with the exact request, response and environment.

API testing vs UI testing

What is the difference between API testing and UI testing?

API testing checks the business logic and data directly through requests and responses. UI testing checks what a person sees and clicks. API tests are faster, more stable and catch bugs earlier, while UI tests confirm the full user journey works. Most teams need both, with far more API tests than UI tests.

FactorAPI testingUI testing
SpeedMilliseconds to seconds per testSeconds to minutes per test
StabilityRarely breaks when the design changesBreaks when layouts or labels change
When it can startAs soon as the endpoint existsOnly after screens are built
Best forRules, calculations, data, permissions, integrationsCritical user journeys end to end

Because one API often serves your web app, mobile app and partners, a single API bug can affect every channel at once. That is why our test automation services put most automated coverage at the API layer.

Types of API tests we run

What types of API tests do you run?

We combine several kinds of API tests, because each finds a different class of problem. The mix depends on how critical the API is and who consumes it.

Test typeWhat it checks
FunctionalEach endpoint returns the right data and status code for valid requests
Negative and validationMissing fields, wrong types, oversized input and bad formats get clear, safe errors
Contract and schemaResponses match the documented schema; changes don’t break consumers
IntegrationServices, databases, queues and third-party APIs work together correctly
SecurityAuthentication, authorization, data exposure and rate limits
PerformanceResponse times and error rates under realistic load
ReliabilityTimeouts, retries and behavior when a dependency is slow or down

Here are a few illustrative test cases for an orders API, to show the level of detail we work at:

RequestCheckExpected result
POST /orders with a valid cartOrder is created and totals are correct201, order ID and correct total returned
POST /orders with quantity = 0Invalid input is rejected400 with a clear field-level message
GET /orders/{id} for another user’s orderUsers can’t read other users’ data403 or 404, no order data returned
GET /orders without a tokenAuthentication is required401, no data returned

REST, GraphQL and SOAP testing

How does testing differ for REST, GraphQL and SOAP APIs?

The goals are the same, but each API style has its own risks. REST API testing needs checks on each endpoint and HTTP method. GraphQL APIs need checks on queries, mutations and how deep or expensive a query can get. SOAP APIs need strict XML and WSDL contract checks.

API styleExtra focus in testing
RESTHTTP methods and status codes, pagination, filtering, versioning, caching headers
GraphQLQueries and mutations, field-level permissions, query depth and cost limits, error format
SOAPWSDL contract, XML schema validation, faults, legacy authentication

Contract testing

What is API contract testing, and why does it matter?

Contract testing checks that an API and the apps that use it agree on the request and response format. It catches breaking changes, such as a renamed field or a new required parameter, before they are deployed. This matters most when several teams or partners depend on the same API.

We use two approaches:

  • Schema validation: every response is checked against your OpenAPI or GraphQL schema, so undocumented changes fail the build.
  • Consumer-driven contracts: with tools such as Pact, each consuming app records what it needs, and the API is tested against those expectations before release.

Breaking changes reaching your mobile app or partners? Contract tests can stop them at the pull request. Let’s talk about your setup.

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API security testing

How do you test API security?

We test API security against the OWASP API Security Top 10, which lists the most common and damaging API risks. The most frequent problems we look for are broken authorization, weak authentication and APIs that return more data than the user should see.

  • Object-level authorization: can user A read or change user B’s records by changing an ID?
  • Authentication: are tokens validated, do they expire, and are login endpoints protected from guessing?
  • Property-level exposure: do responses include sensitive fields the screen never shows, and can users set fields they shouldn’t?
  • Function-level authorization: can a normal user call admin endpoints?
  • Resource limits: are there rate limits, page size limits and query cost limits?

These checks fit inside regular QA. A full penetration test by a specialist security firm is a separate service, and we can help you prepare for one.

Third-party integrations and mocking

How do you test third-party integrations?

Our integration testing services work in two layers. First, we check your code against realistic mocks of the third-party API, so we can simulate slow responses, errors and unusual data on demand. Then we run a smaller set of tests against the provider’s sandbox to confirm the real connection works.

Mocks are useful because many third-party problems can’t be triggered on purpose in a sandbox, such as a payment provider timing out halfway through a charge. We check that your system retries safely, doesn’t create duplicates and shows users a helpful message.

Tools and CI/CD

Which API testing tools do you use?

We choose tools that fit your stack and that your developers can maintain. Common choices include:

  • Postman and Newman for collections that run both manually and in CI.
  • REST Assured for Java teams, and Playwright or SuperTest for JavaScript and TypeScript teams.
  • Pact for consumer-driven contract tests.
  • WireMock or Prism for mocking dependencies.
  • k6 or JMeter for load on key endpoints, covered in more depth by our performance testing services.

Suites run in GitHub Actions, GitLab CI, Jenkins or Azure DevOps on every pull request, with results and failed requests visible to your developers.

Healthcare and FHIR APIs

Do you test healthcare APIs such as HL7 FHIR?

Yes. Many clinic, billing and patient apps exchange data through HL7 FHIR APIs or connect to EHR and practice management systems. We test resource formats, required fields, search parameters, error handling and access rules for these integrations.

CloudOryx is not HIPAA certified. For healthcare APIs we agree data rules with you in writing, work only in environments you control, and test with synthetic or masked data, never real patient records.

How we start

How does an API testing engagement start?

As an API testing services company, we start small and expand once the first suite proves its value.

  1. Review: read your API docs, map endpoints by business risk and agree priorities.
  2. Design: write test cases for the highest-risk endpoints, including security and error cases.
  3. Automate: build the suite in your repository and connect it to your pipeline.
  4. Report: log defects with full request and response details in your tracker.
  5. Expand: add contract tests, integration mocks and load checks sprint by sprint.

API testing works well alongside our outsourced QA testing services and mobile app testing, since most app bugs trace back to the API. See our full range on the QA as a Service page.

Make your API the most reliable part of your product. Book a call and we’ll review your API docs with you.

Book a Free Consultation

FAQs

API testing services FAQs

Straight answers to what teams ask us before they start.

Still have questions?

Talk to our team about your product and release schedule.

Book a Free Consultation
01

Do you need API documentation before testing?

Documentation helps but isn’t required. An OpenAPI file, Postman collection or GraphQL schema lets us start faster and add schema checks. Without docs, we can learn the API from your code, network traffic and developer walkthroughs, then create documentation as part of the work, which your team keeps afterwards.

02

Can you test GraphQL APIs?

Yes. We test queries and mutations, field-level permissions, error responses and limits on query depth and cost. GraphQL can return very large or expensive responses from a single request, so we check that the server limits what one query can do, as well as checking that the data returned is correct.

03

Is API testing the same as a penetration test?

No. Our API testing includes security checks based on the OWASP API Security Top 10, run as part of regular QA on every release. A penetration test is a deeper, time-boxed attack simulation by security specialists. Regular API security checks catch common issues early and make a later penetration test cheaper and cleaner.

04

How many API tests do we need?

Start with your highest-risk endpoints, such as login, payments, orders and anything handling personal data. Cover each with happy-path, validation, authorization and error tests. Many teams find that a focused suite on these endpoints catches most serious problems, then grow coverage sprint by sprint based on where bugs appear.

05

Can API tests run on every pull request?

Yes, and that is where they help most. A fast API suite usually finishes in a few minutes, so developers learn about a broken contract or rule before merging. Longer suites, such as full integration or load checks, run nightly or before releases so pull requests stay quick.

06

Do you test internal microservices as well as public APIs?

Yes. Internal services often have less documentation and fewer tests than public APIs, yet a failure in one can spread to many others. We test service-to-service calls, message queues and contracts between teams, and check how each service behaves when a dependency is slow or unavailable.