TORO Cloud Martini

Open Martini, start a workspace (cloud or desktop), and sketch your API before writing a single handler. Import an OpenAPI file or draft resources and methods in the visual designer, then switch to code when precision is needed. Define schemas, validations, and throttling rules as policies you can reuse across endpoints. Spin up autogenerated mocks to let frontend teams integrate early, write tests against example payloads, and version changes behind release tags. When you’re ready, publish to the built‑in gateway, attach OAuth 2.0 or key-based access, and generate consumer-facing docs from the same source of truth. Consumers get keys, you get analytics and alerts from one console.

Automations come together as flows. Start with a trigger (HTTP call, schedule, or event), drop in steps, and wire data between them with the visual mapper. Call internal services, SaaS apps, or databases; transform payloads; and route by conditions. Add retries, timeouts, and circuit breakers so failures don’t cascade. Package flows as reusable components and promote them from dev to prod using environment variables and secrets. Integrate with your CI/CD so every merge can test, lint, and deploy your APIs and workflows consistently. If you need to go deeper than low-code allows, insert custom scripts in the same pipeline without breaking the visual experience.

Use robotic task automation to offload the repetitive work that burns hours. Build a bot that reconciles invoices: pull CSVs from shared storage, normalize formats, call the accounting API, flag exceptions, and post a summary to your team channel. Handle onboarding by collecting data from forms, creating user records across systems, and requesting approvals when rules require human checks. Every action is logged, so audits are straightforward and recoveries are quick. Define business SLAs, add escalation paths, and let the platform route edge cases while the bulk runs unattended.

Unify data without rewriting your stack. Connect to your existing systems and middleware extensions, map fields with drag‑and‑drop, and publish the result as a clean API that other teams can consume. Build canonical models, deduplicate records, and keep sources synchronized on schedules or events. For read-heavy scenarios, use virtualization patterns to serve combined views without copying everything into a new store. Monitor throughput, latency, and failures from one dashboard and automatically notify owners when thresholds are crossed. Tip: if the interface feels dense, use search and favorites to pin what you use most. On Linux, prefer the containerized installer to avoid dependency snags and get started faster.