Shift-Left APIby Total Shift Left

AI API testing, from a requirement to a secured, load-tested API.

Shift-Left API turns your requirements and OpenAPI, WSDL or GraphQL specs into tests that run in your pipeline, then load-tests and security-checks the same endpoints. Self-hosted, with your own LLM, so specs never leave your perimeter.

15-day trial, no credit card · or the forever-free edition

Shift-Left API welcome screen showing the twelve-step journey from adding requirements to testing performance and security, grouped as Plan, Build, Run, Understand and Go further
  • 12 guided steps, requirement to release gate
  • One project for functional, load and security tests
  • Runs on your infrastructure with your own LLM
The journey

From requirement to release gate, in one platform

The same five phases you see the moment you sign in. Each one links to the pages that explain it in depth.

  1. Phase 1 · Plan

    Start from the requirement, not the endpoint

    Upload BRDs, policies and Excel workbooks together and Shift-Left API extracts one requirement set, counts each rule once and holds conflicts for a person to decide. Then import OpenAPI, Swagger, WSDL, GraphQL, a Postman collection or a pasted cURL into the same project.

    • 01 Add requirements
    • 02 Add your Swagger / API spec
    Several requirement documents read into one requirement set, with a conflict waiting for a person to decide
  2. Phase 2 · Build

    AI writes the suite, then closes the gaps it finds

    Happy-path, edge-case, negative and auth tests are generated from the spec and your requirements, with no code to maintain. A coverage verdict lists what is still untested and one click generates tests for exactly those gaps.

    • 03 Create tests
    • 04 Manage tests
    An OpenAPI spec read by AI, which generates happy path, edge case, negative and auth tests
  3. Phase 3 · Run

    Run anywhere, gate every release

    Run a test, an endpoint or a whole pack against any environment: on the server, on a schedule, from GitHub Actions, Jenkins or Azure DevOps (the public REST API covers GitLab CI, CircleCI and Bitbucket Pipelines), or on the desktop Agent for private APIs.

    • 05 Execute tests
    • 06 Schedule runs
    A pipeline from commit to build, API tests and a quality gate that turns green before deploy
  4. Phase 4 · Understand

    See why it failed, and what to do about it

    A failed run is grouped by cause, each with a verdict and a fix you can apply. Dashboards show trends, reliability and coverage by role, and a traceability matrix links every requirement to its test results for the auditor.

    • 07 Read the reports
    • 08 Track analytics
    A failed run of 23 tests grouped into 4 causes, each with a verdict
  5. Phase 5 · Go further

    Mock, chain, load-test and security-test in the same project

    Stand in for services that are not ready, chain calls into end-to-end workflows, and run load and security checks built from the tests you already have, using the same environments and credentials.

    • 09 Mock APIs
    • 10 Build workflows
    • 11 Test performance
    • 12 Test security
    Functional tests turned into a load test with a live monitor and a verdict in words

One set of tests, three jobs

The functional tests Shift-Left API generates also become your load tests and your security checks. One project, the same endpoints, environments and credentials, so nothing drifts out of step.

A coverage map of endpoints against status, parameter, body, schema and auth checks, with the gaps filled in one click until coverage reaches 100%
Self-hosted AI

AI test generation that never has to leave your perimeter

Built for banks, insurers, healthcare and government teams that cannot send API specifications to a third-party model.

  • Your model, your network

    Run AI test generation on Ollama, vLLM, LM Studio or any OpenAI-compatible endpoint inside your perimeter. Cloud providers are an option you switch on, never a requirement.

  • Specs and prompts stay put

    On a self-hosted deployment, API specifications, prompts and generated tests stay on infrastructure you control. Linux or Windows VMs with Nginx and MongoDB today.

  • SOAP and modern, together

    WSDL parsing for SOAP alongside REST and GraphQL on every plan, for estates that still run both. JSON-RPC 2.0, MCP servers and WebSocket-RPC testing are on Trial and Enterprise.

Self-hosted API testing →Self-hosted LLM setup →Regulated industries →

Your perimeter

Requirements, specs, WSDL
Shift-Left APIEngine · Studio · Agent
Your LLMOllama · vLLM · LM Studio

What leaves the perimeter: nothing, unless you configure a cloud provider.

AI providers selectable behind one router, including a local OpenAI-compatible model and your own API key

OpenAI, Anthropic, Gemini, Azure OpenAI and other cloud providers, or self-hosted Ollama, LM Studio and vLLM.

Watch a five-minute walkthrough

Import a spec, generate tests, close the coverage gaps and run the suite.

Recorded on an earlier release, before the interface redesign shown above.

Watch the full demo on its own page →

Everything in the platform, in one place

The journey above is the short version. Here is every capability behind it, grouped by what it does for you, with the plan it is on where it is not on all of them.

See every feature with the plan it is on in the platform feature table or compare plans and add-ons.

Built for the people who sign off on quality

Rated 4.8/5 on G2 from three verified reviews. Here is what they say, by role.

  • QA and test leads

    A traceable suite without hand-writing it

    Requirements become tests, gaps are found and filled, and the matrix shows what each requirement is verified by.

    See traceability →
    “…it also suggests meaningful test cases on its own, which has been really helpful.”
    Lead QA Automation, mid-market company · verified G2 review
  • Security and compliance

    Weaknesses found before production, with evidence

    Security checks run in the same packs as your functional tests, with findings, decisions and an audit trail you can hand over.

    See what it checks →
    “…makes security testing more proactive, helps reduce risks before production…”
    Security Delivery Analyst, small business · verified G2 review
  • Platform and DevOps

    In your pipeline and inside your perimeter

    Self-hosted with your own LLM, first-party GitHub Actions, Jenkins and Azure DevOps integrations, and a REST API for everything else.

    See integrations →
    “We reduced our API testing time by 20X.”
    IT services reviewer, mid-market company · verified G2 review
How we compare

How Shift-Left API compares to ReadyAPI, Tosca and SOAtest

A side-by-side from each vendor's own documentation, including the places where the established platforms are broader.

AI test generation

ReadyAPI
SmartBear AI plugin (2026) generates tests from API definitions and prompts
Tosca
Agentic Test Automation and Copilot, delivered through Tosca Cloud
Parasoft
Agentic AI Assistant generates multi-service scenarios, data and assertions
Shift-Left API
Generated from specs and requirements, with your choice of cloud or self-hosted model

Your own or self-hosted LLM

ReadyAPI
Not documented for the built-in AI; the MCP plugin works with your own assistant
Tosca
Not documented; on-prem customers get Tricentis-hosted AI (announced for fall 2026)
Parasoft
Yes — any OpenAI-compatible endpoint, including local models (LLM Integration licence)
Shift-Left API
Yes — Ollama, vLLM, LM Studio or any OpenAI-compatible endpoint

Where AI data goes

ReadyAPI
A SmartBear endpoint (provider not stated); core testing works without it
Tosca
Tricentis-managed Azure OpenAI and Claude; needs internet and Tosca Cloud credentials
Parasoft
The LLM provider you configure
Shift-Left API
Your own model inside your perimeter when self-hosted

MCP / AI agent integration (Claude, Cursor)

ReadyAPI
ReadyAPI MCP plugin lets an agent generate, run and heal tests
Tosca
Tosca MCP server (2026.1 patch 1 or later)
Parasoft
Tests MCP servers; Virtualize adds an MCP server (2026.1)
Shift-Left API
MCP server on every plan (September 2026 release) plus a public REST API

CI/CD integrations

ReadyAPI
Jenkins, Azure DevOps and TeamCity plugins; Docker, Maven and command line
Tosca
Script-based Execution Client and API; a legacy Jenkins plugin
Parasoft
Jenkins, Azure DevOps, Bamboo and TeamCity plugins; GitHub Marketplace action; command line
Shift-Left API
GitHub Actions, Azure DevOps extension and Jenkins plugin file, plus a REST API for any other tool

Protocol coverage

ReadyAPI
REST, SOAP, GraphQL, gRPC (unary), JMS, JDBC, Kafka, MQTT, AMQP
Tosca
REST, SOAP, JMS, WebSocket, MLLP, plus message queues such as Kafka and IBM MQ
Parasoft
120+ protocols and formats, including REST, SOAP, GraphQL, gRPC, JMS, IBM MQ, Kafka and FIX
Shift-Left API
REST, SOAP, GraphQL; JSON-RPC 2.0/MCP and WebSocket-RPC on Trial & Enterprise. The incumbents are broader on legacy messaging

Load testing

ReadyAPI
ReadyAPI Performance is a separate licence; a limited base comes with any licence
Tosca
A separate product, Tricentis NeoLoad
Parasoft
Parasoft Load Test installs with SOAtest; capacity set by the virtual-user licence
Shift-Left API
Built from your existing tests, no scripts; paid add-on, included in the trial

API security testing

ReadyAPI
Security scans (SQL injection, XSS, fuzzing and more); basic scans on any licence, the full set needs ReadyAPI Test
Tosca
No dedicated feature found in the documentation
Parasoft
Penetration testing from functional tests via embedded OWASP ZAP (API Security Testing licence feature)
Shift-Left API
OWASP-mapped checks beside your tests, including BOLA with a second test user; paid add-on, included in the trial

Requirements to tests

ReadyAPI
Not a core capability; tests start from specs
Tosca
Requirements managed in Tosca or linked ALM tools; extraction from documents not documented
Parasoft
Traceability through DTP and ALM integrations
Shift-Left API
Extracts requirements from Word, PDF and Excel, with a traceability matrix that includes load targets

Based on each vendor's published documentation, reviewed 6 October 2026. “Not documented” means we did not find it in their documentation, not that it does not exist. Products change often, so check the vendor's current documentation before you decide.

GitHub Actions, Jenkins and Azure DevOps integrations, plus a public REST API and an MCP server

Real, vendor-native integrations — not generic webhooks — for GitHub Actions, Jenkins and Azure DevOps. GitLab CI, CircleCI, and Bitbucket Pipelines connect via the same public REST API, which covers trigger / poll / artifact lifecycle and quality gates. The MCP server connects Claude, Cursor, and other AI agents to the platform on every plan.

Run and failure events can also go to chat and incident tools through signed webhooks.

Request an integration

Try it on your own APIs before anyone talks to you

Three ways in, from free to enterprise-wide.

  • Free forever

    Citizen Developer

    A single-seat licence with caps (50 endpoints, 50 mocks, 50 workflows). REST, SOAP and GraphQL authoring, AI test and mock generation with your own cloud LLM key, and the desktop Local Runner. Reports carry a watermark.

    Get the free licence →
  • Everything unlocked

    15-day trial

    Evaluates the Enterprise feature set, including the load and security testing add-ons, JSON-RPC/MCP and WebSocket-RPC testing and persona dashboards. SSO, secret managers and workspaces are Enterprise-only. Unlimited users and endpoints. No credit card.

    Start the trial →
  • Annual contracts

    Professional and Enterprise

    Up to 25 seats on Professional, unlimited on Enterprise with SSO, secret managers and governance. Load and security testing are add-ons to either. We scope pricing with an architect, not a sales script.

    See pricing →

FAQs

Contact us at

info@totalshiftleft.com

to learn more

  • What is Shift-Left API, and how does it relate to Total Shift Left?
    Shift-Left API is the product: an AI-native API test automation platform that turns requirements and OpenAPI, Swagger, WSDL or GraphQL specifications into tests, then load-tests and security-checks the same endpoints. Total Shift Left is the company that builds it. Review sites and documentation use either name for the same product. Total Shift Left is not affiliated with ShiftLeft Inc. (Qwiet AI), an unrelated application security company.
  • Can Shift-Left API run fully on-prem with our own LLM?
    Yes. Shift-Left API supports self-hosted LLM inference via Ollama, LM Studio and vLLM, or any OpenAI-compatible endpoint. On a self-hosted deployment, API specifications, prompts and generated tests stay inside your perimeter, and nothing is sent to OpenAI, Anthropic or any third-party LLM unless you configure a cloud provider. The deployment is single-tenant, on infrastructure you control. Self-hosted models are available on the Trial, Professional and Enterprise plans.
  • Can it generate tests from business requirements, not just API specs?
    Yes. Upload Word, PDF and Excel documents and Shift-Left API extracts one requirement set, counts each rule once and holds conflicts for a person to decide. Tests are generated from the requirements together with your specification, and a requirements traceability matrix shows what verifies each requirement, including performance targets verified under load.
  • How is this different from ReadyAPI, Tricentis Tosca, or Parasoft SOAtest?
    Those platforms predate modern LLMs, so their AI capabilities are more recent additions to long-established testing engines. Shift-Left API is AI-native: a choice of cloud and self-hosted model providers, an MCP server for Claude, Cursor and other AI agents alongside a public REST API, and load and security testing built from the same functional tests. It covers the same enterprise needs (on-prem deployment, REST, SOAP and GraphQL, RBAC, audit logs). The incumbents are broader on legacy messaging protocols such as JMS, MQ and Kafka.
  • Why not just use Postman or Apidog for AI test generation?
    Cloud-based AI testing tools typically send your API specifications and request bodies to third-party LLMs. For BFSI (banking, financial services, insurance), healthcare, government and other regulated workloads, that is often a non-starter under security and data-residency policies. Shift-Left API lets you keep specs and prompts inside your perimeter while still getting AI-generated tests.
  • What does deployment look like for a regulated enterprise?
    Self-hosted on infrastructure you control (Linux or Windows VMs, with Nginx and MongoDB). Multi-tenant SaaS is also available for non-regulated workloads. Containerized (Docker, Kubernetes, Helm) install paths are on the roadmap; today, deployment is via documented installation scripts. Implementation timelines are scoped per environment with our architect on the demo call.
  • How does Shift-Left API integrate with AI agents?
    Two ways. The MCP (Model Context Protocol) server, available since the September 2026 release on every plan, lets you connect Claude, Cursor or another MCP client to the platform. The public REST API also works from any agent framework that supports custom HTTP tool calls.
  • What is included in the Citizen Developer free tier?
    A forever-free, single-seat licence with caps (50 endpoints, 50 mocks, 50 workflows, 1 concurrent run, 3 auth profiles per project). It includes REST, SOAP and GraphQL authoring, AI test and mock generation with your own cloud LLM key (self-hosted models need Professional, Enterprise or the Trial), and the desktop Local Runner. Reports include a "Powered by Shift-Left Studio" watermark. It is designed for solo evaluation, not team use.
  • How do enterprise procurement and security reviews work?
    Talk to our architect on the demo call, not a sales rep. We share a security questionnaire response, deployment topology diagram and reference architecture upfront, so your security team can review in parallel with the technical evaluation. Annual contracts only; we do not sell month-to-month because regulated procurement does not buy month-to-month.

Talk to our architect, not a sales rep

30-minute demo with the engineer who'll run your deployment. We share security questionnaire responses, deployment topology, and reference architecture upfront — so your security team can review in parallel with the technical evaluation.