AI API Testing Platform
AI API Testing Platform: Generate, Run and Repair Tests from OpenAPI
Shift-Left API is an AI API testing platform. It generates a test suite from your OpenAPI, WSDL or GraphQL spec, even without an AI key, runs it in CI through GitHub Actions, Jenkins, Azure DevOps or a REST API, and proposes repairs you review. Cloud or self-hosted; self-hosted LLMs on Trial and Enterprise.
Why API teams add AI to their testing
APIs ship faster than tests
Teams release APIs daily. Manual test authoring cannot keep pace, so coverage decays each sprint.
Specs and tests drift apart
The OpenAPI spec changes, the suite does not. Contract bugs reach consumers before anyone notices.
Edge cases get skipped
Engineers write happy-path tests. Negative paths, error responses and auth cases stay on the backlog.
Fixing tests eats the sprint
A changed field turns twenty tests red. Someone has to work out which failures are real and patch the rest.
Triage takes hours
A red pipeline means digging through request logs to tell a product bug from bad test data or a flaky environment.
AI policy blocks cloud tools
Security will not approve sending specs to a third-party model, so AI testing stalls at the pilot.
What the platform does at each step
Generation is deterministic and works without AI. AI, when you configure it, adds edge cases and proposes repairs that you review.
How AI API testing works in Shift-Left API
Import a spec
Import OpenAPI 3.x, Swagger 2.0, WSDL, GraphQL SDL or introspection, a Postman collection or cURL. Endpoints and schemas parse on import.
Generate the suite
Positive, negative, boundary, auth and contract tests are planned from your schema. Configure an AI model to add edge cases on top.
Gate it in CI
Run a test pack from the GitHub Action, Jenkins plugin, Azure DevOps task or the public REST API. The gate decides pass, fail or warn.
Repair with review
Re-importing a spec flags breaking changes for approval. When tests fail, AI proposes grounded fixes cause by cause; nothing changes until you apply it.
79
Scenario classes planned without an AI key
19
AI provider families, bring your own key
100+
Assertion types in the engine
Every plan
Failure analysis, Free included
AI API testing platform vs hand-written API tests
| Feature | Shift-Left API | Hand-written tests |
|---|---|---|
| Suite authoring | Planned from your spec, with or without AI | Written request by request |
| Negative and boundary cases | Planned from required, type, enum, min/max and pattern | Often skipped under deadline pressure |
| Coverage gaps | 11 gap types per endpoint, one-click fill | Tracked by hand, if at all |
| Failing tests | AI proposes fixes per cause; you apply them | Fixed by hand, one test at a time |
| Failure triage | Grouped into causes with verdicts | Engineer reads logs |
| Protocols | REST, SOAP, GraphQL; JSON-RPC/MCP and WebSocket-RPC on Trial and Enterprise | Depends on the framework |
| Where the AI runs | Your cloud key, or a self-hosted LLM (Trial and Enterprise) | Not applicable |
Learn the method, then extend the suite
New to the topic? The AI API testing guide explains how spec-driven generation, AI repair and failure triage work, independent of any tool. To score your own spec before you start, run the free OpenAPI test-readiness scorer.
The tests the platform generates also feed two paid add-ons, both included in the 15-day trial: API security testing (OWASP-mapped checks run beside your functional tests) and API load testing (load, stress, spike and soak runs built from the same tests). If AI policy rules out cloud models, see self-hosted API testing.
When hand-written API tests are still the better choice
- -You have a tiny, stable API with no roadmap
- -You need to own every assertion line in code review
- -You have no API specification and no plan to write one
- -Your tests are mostly exploratory, not regression
Frequently asked questions
What does the Shift-Left API AI testing platform do?
It generates API tests from your OpenAPI, Swagger, WSDL or GraphQL spec, runs them in test packs on demand, on a schedule or from CI, groups failed runs into causes, and proposes AI repairs that you review and apply.Do I need an AI key to generate tests?
No. A deterministic coverage engine plans 79 scenario classes across 12 dimensions without any AI key. When you configure a model, AI adds up to 8 extra tests per endpoint and powers Fix with AI.Can I use a self-hosted LLM?
Yes, on Trial and Enterprise. Point AI features at Ollama, LM Studio, vLLM or any OpenAI-compatible server you run, so specs and prompts are not sent to a third-party model provider. Other plans bring their own key from 19 provider families.Which CI/CD tools does it integrate with?
A first-party GitHub Action, Jenkins plugin and Azure DevOps task, plus a public REST API for GitLab CI, CircleCI, Bitbucket Pipelines and any other pipeline that can make an HTTP call.How is it priced?
A free single-user developer licence, renewed free every 6 months; a 15-day trial with everything included; and annual Professional and Enterprise licences on a custom quote. Performance and API security testing are paid add-ons.Where does my data go?
On cloud SaaS each customer has its own subdomain and database. Self-hosted installs run on your own infrastructure and MongoDB. Secrets such as credentials and tokens are encrypted at rest; RBAC and audit logs come with Professional and above, and SSO configuration with Trial and Enterprise.
Generate your first API test suite in minutes
Import your OpenAPI spec. Get CI-ready tests. Track coverage. No code, no credit card, 15-day free trial.