Self-Hosted API Testing
AI-native API testing that runs on your own infrastructure
For teams that can't ship API specs to the cloud: generate REST, SOAP, and GraphQL tests with your own self-hosted LLM, keep specs and data inside your perimeter, and integrate with the CI/CD stack you already run.
Why self-hosted API testing
When your API specifications are in-scope for security and compliance review, where the testing — and the AI behind it — runs is the whole decision.
Your API specs never have to leave your perimeter
Cloud-based AI testing tools generate tests by sending your OpenAPI or WSDL spec to a third-party LLM. Self-hosted Shift-Left API runs that same generation against an LLM you host (Ollama, vLLM, LM Studio, or any OpenAI-compatible endpoint), so specs and prompts stay inside your boundary.
Bring your own LLM, or run fully air-gapped
Point the platform at a local model for fully offline operation, or at an internal inference endpoint. Cloud providers (13+ supported) remain an option for non-sensitive workloads — they are never a requirement.
The protocols your stack actually runs
REST, SOAP with WSDL parsing, and GraphQL are first-class — not a legacy mode. Import OpenAPI 3.0/3.1 and Swagger 2.0, auto-discover endpoints, and generate coverage for every operation.
CI/CD and agents, on your infrastructure
Six first-party CI/CD plugins (Jenkins, GitHub Actions, Azure DevOps, GitLab CI, CircleCI, Bitbucket) plus a public REST API and a native MCP server for Claude, Cursor, and other agents — all driving runs inside your environment.
How it works on your infrastructure
Deploy inside your boundary
Install on Linux or Windows VMs you control (Nginx + MongoDB). See the full topology on the deployment page.
Connect your own LLM
Configure a self-hosted endpoint — Ollama, vLLM, LM Studio, or any OpenAI-compatible model. No cloud key required.
Import specs and generate
Point the platform at OpenAPI, Swagger, or WSDL. AI generates REST, SOAP, and GraphQL tests for every endpoint.
Run in CI/CD with evidence
Execute via the desktop runner or a first-party CI/CD plugin. Export run reports and audit logs for every release.
Go deeper
Deployment & topology →
Reference architecture, install paths, and infrastructure requirements.
Platform security →
RBAC, AES-256 credential storage, audit logs, and data-protection details.
Compliance & data residency →
How self-hosting maps to SOC 2, FedRAMP, HIPAA, ISO 27001, and GDPR.
Regulated industries →
Banking, insurance, healthcare, and public-sector specifics.
FAQs
What does "self-hosted API testing" mean here?
The entire platform — the test runner, the data, and the LLM that generates tests — runs on infrastructure you control. Your API specifications and test data stay inside your perimeter rather than transiting a vendor SaaS or a third-party AI service.Can it run fully air-gapped?
Yes. With a self-hosted LLM (Ollama, vLLM, LM Studio) and an on-prem deployment, test generation and execution run without any outbound connection to a cloud AI provider.Do I have to use my own LLM?
For regulated workloads that is the default and recommended posture. You can optionally configure any of 13+ cloud providers for non-sensitive projects, but cloud LLMs are never required.Which protocols are supported?
REST, SOAP (with WSDL parsing), and GraphQL are production-ready, with OpenAPI 3.0/3.1 and Swagger 2.0 import. gRPC and Postman collection import are on the roadmap.How is this different from a cloud API testing tool?
Cloud tools centralize your specs and test data in their environment and typically call a hosted LLM for AI features. Self-hosted Shift-Left API keeps all of that inside your boundary while still providing AI-native test generation, multi-protocol coverage, and CI/CD integration.
Talk to the architect who'll run your deployment
30-minute working call. Self-hosted topology, your-LLM configuration, and a security questionnaire response shared on the call, so your security team can review in parallel.