AI API Testing · REST & GraphQL · Self-healing

Reliable AI API Testing for Fast Release Cycles

Keep every integration stable with AI based API testing. ContextQA validates requests, responses, schemas, and dependencies, then repairs broken checks the moment your services change.

REST · GraphQL · gRPC Schema & contract checks SOC 2 Type II
Trusted by leading engineering & QA teams
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Always on

API Tests That Heal Themselves as Your Services Evolve

ContextQA works like a backend QA engineer that never clocks out. It validates every endpoint, repairs broken assertions the moment a schema or contract drifts, and reruns affected checks so your suite stays green. Your team ships service changes without rewriting brittle API tests.

The problem

Why API Test Automation Breaks in Most Teams

Services change faster than tests can keep up. A single schema or contract change can turn a green suite red across every dependent service.

Built for real services

Stable Across Every Service

One automation engine that adapts to the parts of your backend that break brittle scripts: protocols, contracts, and chained multi-service flows.

REST and GraphQL
Stable checks across REST, GraphQL, and webhook endpoints, with assertions that repair themselves when fields or responses change.
Contracts and schemas
Responses are checked against current and historical schemas and OpenAPI contracts, so breaking changes surface before they ship.
Chained service flows
Multi-step flows pass data between calls, handle auth and tokens, and reason across microservice dependencies as first-class steps.
Capabilities

What ContextQA Automates for APIs

From request validation to dependency reasoning, ContextQA handles the work that slows backend testing down.

Request validation

Validates structure, fields, parameters, and response accuracy on every call.

Schema and contract checks

Compares responses against current and historical schemas and contracts.

Adaptive test selection

Focuses runs by risk, code change, and API history to keep feedback fast.

Dependency reasoning

Studies cross-service effects and flags cascading failures before they ship.

Auth and tokens

Handles OAuth, JWT, and API-key flows, including refreshed sessions, across runs.

Full diagnostics

Request, response, logs, and a plain explanation in one view for fast triage.

In action

API Testing, Working in Real Time

Watch how ContextQA writes, heals, and runs your API checks, live.

REST GraphQL gRPC Webhooks
01

Checks generated from your spec

openapi.yaml18 checks
GET/orders4
POST/orders6
GET/orders/{id}5
POST/auth/token3

Point ContextQA at your spec and it reads every endpoint and schema, then writes stable checks covering happy paths, edge cases, and invalid inputs without hand-writing assertions.

02

Contract drift, auto-healed

orders.schema.jsondrift
"id": "ord_8842",- "total": "128.00",- "status": "open",+ "total": 128.00,+ "status": "created",

When a field or type changes, ContextQA shows the exact diff against the contract and repairs the affected assertions on the fly, so your suite stays green without anyone babysitting it.

03

Every endpoint, timed in parallel

Request waterfall200 OK
0ms120240360ms
POST /auth40ms
POST /orders142ms
GET /orders/:id88ms
POST /pay120ms

See the whole request flow. ContextQA runs your endpoints in parallel, times each one, and plugs straight into Jenkins, GitHub Actions, GitLab, or CircleCI so every merge ships verified.

04

Full diagnostics in one view

trace · POST /checkout240ms
api-gateway · 240ms
authorders 60billing-svc 180ms
Root cause: billing-svc timeout

No more guessing. Every failure comes back as a trace across services with the slow span highlighted and the root cause named, so triage takes minutes instead of hours.

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Capabilities

ContextQA API Testing Capabilities

Every capability maps to a concrete outcome for your API test suite.

The workflow

How ContextQA Automates API Testing at Scale

A closed loop that validates, selects, checks contracts, reasons across dependencies, and diagnoses on every release.

Under the hood

Technical Capabilities

Built to handle modern service architectures and the messy realities of production APIs.

REST, GraphQL, gRPC

Tests REST, GraphQL, gRPC, and webhook endpoints out of the box.

Schemas and contracts

Validates JSON and XML schemas and OpenAPI contracts.

Auth and tokens

Handles OAuth, JWT, API keys, and refreshed sessions.

Every environment

Runs across local, staging, pre-prod, and regional environments.

Dependency mapping

Maps cross-service dependencies and cascading impact.

CI/CD integrations

Works with Jenkins, GitHub Actions, GitLab, and CircleCI.

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Connect API Testing With the Rest of the Platform

APIs are one surface in ContextQA. Each capability works in sync through agentic reasoning, testing and repairing with steady precision at scale.

Web Automation

Validate the UI flows that sit on top of your APIs for full end-to-end coverage.

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Mobile Automation

Test the mobile apps that depend on your services across iOS and Android.

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AI Testing

Autonomous agents generate, evolve, and run API checks in real time.

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Auto-Healing Tests

Self-learning agents repair broken API assertions as your services evolve.

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Root-Cause Analysis

Causal reasoning explains why an API check failed and what to fix.

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Continuous Testing (CI/CD)

Runs API suites inside every build and deployment for reliable releases.

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FAQs

Our Customers Also Ask

AI based API testing uses automated reasoning to validate requests, responses, and service contracts without hand-writing every assertion. It checks schemas, detects behaviour changes, repairs broken checks when services change, and explains failures so teams ship API changes with confidence.
Generative AI for API testing creates realistic variations of requests and responses that highlight weak points in services. It expands coverage of edge cases, invalid inputs, and boundary conditions, then keeps the resulting checks stable as endpoints evolve.
Yes. ContextQA studies request patterns, dependency paths, and shared data structures across distributed systems. It flags cascading issues between services and keeps contract checks stable even as individual microservices change.
ContextQA compares each response against current and historical schemas and contracts, including OpenAPI definitions. When a field, type, or status changes, it surfaces the difference and can repair affected assertions automatically.
The strongest AI API testing tools validate contracts, detect behaviour changes, generate realistic request patterns, reason across service dependencies, and provide clear diagnostics. ContextQA combines all of these in one platform alongside web and mobile testing.
Yes. ContextQA supports large multi-step flows, conditional logic, authentication, and billing logic across distributed services. It learns from repeated behaviour and stays stable even when teams ship frequent backend changes, which suits enterprise systems with constant change.

Keep Every API Stable Through Continuous Change

Backend teams get automated checks, clear diagnostics, stable runs, and accurate reporting on every release. ContextQA validates your services, cuts maintenance, and keeps integrations reliable as your architecture grows.

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