Inventory and contract review
We catalogue endpoints, versions and consumers, and review the OpenAPI, GraphQL or WSDL definitions — gaps between the specification and the implementation are usually the first defects found.
Appsierra's API testing services verify the interfaces your product and partners actually depend on. Our pods test REST, GraphQL and SOAP endpoints for functional correctness, schema and contract conformance, authentication and authorisation, error handling, rate limiting, security and performance — then wire the suite into CI so a breaking change is caught before it ever reaches a consumer.
APIs are contracts between systems, so testing starts from the contract rather than the user interface.
We catalogue endpoints, versions and consumers, and review the OpenAPI, GraphQL or WSDL definitions — gaps between the specification and the implementation are usually the first defects found.
Coverage is built for valid requests, boundaries, malformed payloads, missing fields, wrong types, unauthorised access and dependency failure, because real consumers do all of these.
Suites are automated and wired into CI so contract, schema and regression checks run on every change rather than during a pre-release window.
Authentication, authorisation and OWASP API risks are probed, and performance testing establishes latency and throughput behaviour under realistic concurrency.
An API test talks directly to the interface, so it is faster, far more stable and available long before a UI exists. It also tests the layer your partners and mobile clients actually consume — a defect there affects every consumer at once, not just one screen. UI coverage still matters for what users see, which is where our web application testing fits; API testing is the layer that catches the expensive, systemic failures earlier and more cheaply.
A renamed field or changed status code can break every consumer simultaneously, including partners you cannot deploy for. Contract tests catch it pre-merge.
API tests avoid rendering, timing and selector fragility, so they run in seconds and fail for real reasons — which is why teams keep trusting them.
Because the interface is the contract, coverage can start as soon as the specification is agreed, shifting defect discovery much earlier.
Broken authorisation, excessive data exposure and missing rate limits are API-layer problems a UI test walking the happy path will never see.
Every dimension a consumer depends on — not just whether a 200 comes back.
Valid and invalid requests, boundary values, missing and malformed fields, wrong types and unexpected sequences, verifying both the response and the resulting state.
Responses validated against the OpenAPI, GraphQL or WSDL contract so undocumented changes fail the build instead of surfacing in a consumer's production incident.
Token handling, expiry, refresh, scope and role boundaries — including the negative cases proving one account cannot reach another account's data.
Probing for OWASP API risks such as broken object-level authorisation, excessive data exposure and missing rate limiting, alongside our IT security solutions for deeper programmes.
Latency, throughput, timeout, retry and rate-limit behaviour under realistic concurrency, so limits are discovered in a test rather than during a traffic spike.
End-to-end verification across service boundaries and third-party dependencies, extended by our microservices testing where architecture-level coverage is required.
An API suite earns its place by being fast and believable. The moment it becomes slow or intermittently red, teams start ignoring failures — and an ignored suite provides no protection at all, however large it is.
Most breaking changes are caught by cheap contract and schema checks, leaving the slower end-to-end scenarios for genuine cross-service behaviour.
Each test provisions and cleans its own data so runs do not depend on order or leave state that makes the next run fail for the wrong reason.
Assertions target the field and status that matter, so a failure names the broken contract instead of reporting that a large scenario went wrong somewhere.
Fast, stable API coverage that protects every consumer at once.
Pods drawn from our own pre-vetted talent network and evaluation platform start delivering in days, not weeks.
We agree measurable coverage and quality targets up front, so you pay for outcomes, not just billed hours.
AI-augmented engineers move faster while senior engineers review every result before it reaches you.
ISO 27001 and CMMI Level 3 aligned, SOC 2-ready, and NDA-first, so your code and data stay protected.
Direct access to technical leadership, not a faceless bench or a marketplace of strangers.
1250+ engineers deployed, 300+ projects delivered, 60+ global brands, and a 4.8/5 rating.
API testing services verify an application's programming interfaces directly, rather than through a user interface. The work covers functional and negative testing of endpoints, validating responses against the schema or contract, authentication and authorisation behaviour, error handling and rate limiting, security risks specific to APIs, and performance under concurrency — usually automated and integrated into CI so every change is checked.
We test REST, GraphQL and SOAP interfaces, along with the integrations built on them. That includes public APIs consumed by partners, internal service-to-service APIs in a microservices architecture, mobile back-end APIs and third-party integrations, whether documented with OpenAPI, a GraphQL schema or WSDL.
APIs are contracts that many consumers depend on simultaneously, so a defect at that layer affects every client at once — including partner systems you cannot deploy for. API tests are also faster and far more stable than UI tests, and can run before a UI exists, which means defects are found earlier and more cheaply. The API layer is also where much of the security surface lives.
API testing exercises the interface directly, asserting on status codes, payloads, schema conformance and state changes. UI testing drives the rendered application as a user would, asserting on what appears on screen. API tests are faster, more stable and catch systemic contract failures; UI tests confirm the experience users actually get. Effective suites use both, with the majority of coverage at the API layer.
Yes. Automated API suites are the normal deliverable, integrated into your CI/CD pipeline so contract, schema and regression checks run on every pull request or build. Contract and schema validation typically runs on every change because it is fast, while heavier end-to-end and load scenarios run on a scheduled or pre-release cadence.
Appsierra pods are typically productive within about 7 days. The first week covers endpoint inventory, contract review and environment and credential access, after which functional and contract coverage is built and wired into CI, with security and performance coverage layered on as the suite stabilises.
Tell us what you're building, testing or scaling — a senior engineer sends a short, honest read and a low-risk way to start.
A senior engineer will review your note and reach out shortly with an honest read and a low-risk way to start.
Functional, contract, security and performance coverage across REST, GraphQL and SOAP, automated and running in your pipeline — so breaking changes fail a build instead of a customer integration. Contact us to scope your API testing engagement.
Vetted pods, productive in 7 days.
Tell us what you need to build, test, scale or hire for — QA, software, AI/LLM engineering or a full pod. A senior engineer reviews it and sends a short, honest read, plus a low-risk way to start.
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