The Most Flexible API in Requirements Management
API-first is not a marketing line for Trace.Space. It is an architectural decision made on day one. Every capability in the platform is accessible programmatically. If you can do it in the browser, you can do it through the API. No paywalls, no hidden endpoints, no enterprise tier required for basic access.
This is for teams that need requirements management to plug into their broader engineering toolchain, not sit next to it.
What You Can Build
Sync with Atlassian Products
Push and pull requirements between Trace.Space and Jira or Confluence. Keep your engineering data synchronized without manual export/import cycles. Jira issues map to requirements. Confluence pages map to specifications. Traces stay intact across systems.
Connect to Git Providers
GitHub, GitLab, Bitbucket. Link code changes to the requirements they implement. Trace from a commit back to a system requirement and forward to the verification that proves it works.
Integrate Legacy Tooling
If your organization has a DOORS, Jama, or Codebeamer subscription, you have access to their API documentation. Trace.Space can sit between your legacy tool and your modern workflow, synchronizing data without forcing a full migration on day one.
Bridge to Engineering Tools
Connect to PLM systems (TeamCenter, Windchill), CAD tools (SolidWorks, 3DS), simulation platforms (MATLAB, Ansys), and CI/CD pipelines (Jenkins, Azure DevOps). Requirements trace all the way to physical design and test execution.
Build Custom Workflows
Business intelligence dashboards. Custom compliance reports. Automated notifications when coverage drops below a threshold. If your team has a process that touches requirements data, the API lets you automate it.
REST API
Full CRUD operations on requirements, traces, projects, baselines, reviews, and user data. Bulk operations for import and migration workflows. Filter and query endpoints that mirror the platform's saved filter capabilities.
AI Recommends, Engineers Decide
Every AI recommendation in Trace.Space is routed through engineering review before acceptance. The AI suggests trace links. You accept or reject them. The AI flags a quality issue. You decide if it matters. The AI drafts a requirement. You refine it.
This is not a philosophical choice. It is a regulatory one. In aerospace, automotive, defense, and medical devices, a human must own the engineering decisions. Trace.Space is built for that reality. The AI does the coordination work. Engineers make the calls.
See AI-Native Requirements Management in Action
Ready to See What Modern Requirements Management Looks Like?
Bring your requirements. We will show you what the AI finds in the first five minutes.