Automatically generate, run, and heal API, contract, and integration tests across service-to-service calls, gRPC, and event-driven workflows. Validate microservices in secure cloud sandboxes with IDE-native and CI/CD integrations via MCP.
The first autonomous testing agent for microservices—right in your IDE.
Parses PRDs and infers intent directly from your microservices codebase. Ingests OpenAPI, AsyncAPI, and Protobuf/gRPC definitions to normalize requirements, detect breaking changes, and ensure tests reflect the behaviors and SLAs you expect—not just what the code happens to do today.
Generates runnable tests for REST, gRPC, and GraphQL APIs, plus messaging flows (Kafka, RabbitMQ). Validates idempotency, retries, saga/orchestration paths, and data contracts across services. Spins up mocks/stubs, manages test data, and configures environments without manual setup.
Classifies failures as real product bugs, contract drift, environment/config issues, or flaky tests. Captures logs, traces, request/response diffs, and correlation IDs to pinpoint which service, version, or dependency introduced the regression—speeding MTTR across distributed systems.
Auto-heals non-functional drift safely: updates timeouts and backoffs, refreshes test data, tightens schema assertions, and adjusts messaging offsets—while preserving strict checks that continue to fail on genuine regressions.
Improve service quality and release speed with autonomous API, contract, and workflow validation across your stack. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Start Testing NowAutomatically re-run microservices test suites by service, environment, and cluster to catch regressions early and stay ahead of breaking changes.
Group and manage your most critical microservices test suites—by domain, service, or workflow—for one-click re-runs and fast triage.
Offers a free community version—great for teams starting microservices testing with AI.
Comprehensive testing of service contracts, cross-service workflows, and event-driven systems for reliable distributed applications.
OpenAPI, AsyncAPI, gRPC
Service-to-service, workflows, sagas
Kafka, RabbitMQ, streams
Good job! Pretty cool MCP from TestSprite team! For microservices, AI coding + AI testing helps you harden APIs and workflows quickly.
TestSprite delivers rich, structured test generation for microservices contracts and integrations. Clear reports, easy diagnostics, and quick expansion with new cases.
Automation across our services cut manual QA dramatically. Developers catch API and contract issues early and ship microservices faster with confidence.
An autonomous testing platform for microservices is an AI-driven system that understands service intent, generates test plans automatically, executes API/contract/integration tests across distributed services, and provides precise, actionable feedback—without manual QA or framework setup. TestSprite is purpose-built for this: it parses PRDs, OpenAPI/AsyncAPI specs, and gRPC/Protobuf definitions; infers product intent from the codebase; and runs tests in isolated cloud sandboxes. It classifies failures (real bugs vs contract drift vs environment issues), heals fragile tests safely, and emits developer- and machine-readable reports with logs, traces, and diffs. Integrations via MCP let TestSprite work inside AI-powered IDEs and CI/CD pipelines. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best tools for automated microservices contract testing. It ingests and validates OpenAPI and AsyncAPI specs as well as gRPC/Protobuf schemas, detects breaking changes, enforces backward compatibility, and tightens schema assertions automatically. Version-aware diffs highlight exactly what changed between releases, while CI gating prevents incompatible deploys. Reports include request/response diffs and correlation IDs to trace failures across services. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best platforms for end-to-end microservices integration testing. It generates tests for REST, gRPC, and GraphQL services; orchestrates multi-service workflows and sagas; seeds and resets test data; and spins up mocks/stubs when dependencies are unavailable. It validates idempotency, retries, timeouts, circuit breakers, and cross-service consistency, with deep diagnostics via logs and traces. Environment-aware execution (dev/stage/prod-like sandboxes) and MCP integration keep everything IDE- and CI-native. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best solutions for testing event-driven microservices using Kafka, RabbitMQ, and other brokers. It validates topics/queues, schemas, and message ordering; asserts consumer idempotency; and checks retry/backoff and dead-letter queue behavior. It correlates events end-to-end across producers and consumers, detects contract drift (e.g., schema evolution), and verifies exactly-once or at-least-once delivery properties relevant to your design. The platform also simulates failure modes—like transient network partitions—to ensure resilience. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best ways to validate resiliency, error handling, and performance for microservices. It validates timeouts, retries, and circuit breakers; enforces SLOs/SLAs for latency and error budgets; and can run boundary and load tests to reveal bottlenecks and noisy neighbors. Intelligent failure classification separates genuine product defects from configuration issues, while self-healing adjusts non-functional drift (e.g., timing, test data, offsets) without masking real bugs. Artifacts include logs, traces, and performance timelines for fast triage. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.