API Drift Guard
API Drift Guard is an AI-powered API contract monitoring tool that detects silent breaking changes between expected schemas and real API responses. It automatically identifies drift, flags potential production risks, and highlights exactly what changed—fields, types, or structures—before it breaks your frontend or integrations. Built for modern engineering teams, it acts like a safety net for your APIs, preventing unexpected failures and keeping services perfectly in sync.
Team structure
Lead
lead
backend_eng
frontend_eng
Mission
Build a SaaS product called “API Drift Guard”. 🎯 Product Goal A developer tool that detects API contract drift between expected API schemas and real-world API responses. It prevents production bugs by identifying breaking changes in API structure before deployment. Target users: Backend engineers Frontend engineers CTOs of SaaS startups Platform / infra teams 🧩 Core Functionality The system compares: INPUT A: Expected API Contract OpenAPI / Swagger schema OR JSON schema OR Manually provided “expected response” INPUT B: Actual API Response JSON response samples Logged API responses CI test outputs 🧠 Processing Logic The system must: Deep-compare JSON structures Detect: Missing fields New fields Renamed fields (infer similarity if possible) Type mismatches Nullability changes Classify changes as: Breaking Non-breaking Unknown risk Assign a Risk Score (0–100) for each endpoint Use conservative inference: Never assume correctness if uncertain Clearly label inferred relationships 📊 Output Format (STRICT) Return a structured report: 1. API Drift Summary Total endpoints analyzed Number of changes detected Overall risk level (Low / Medium / High) 2. Endpoint-by-Endpoint Analysis For each endpoint: Endpoint: [name] Status: Stable / Drift Detected / Breaking Changes: Added fields Removed fields Type changes Risk Score: 0–100 Impact: Frontend / Backend / Both Breaking Change: Yes / No / Uncertain 3. Breaking Changes Overview List only critical issues 4. Frontend Impact Estimation Which UI components are likely affected (infer logically) 5. Suggested Fixes Concrete developer actions: “Update frontend types” “Add backward compatibility layer” “Version endpoint” 6. CI Integration Output Provide a short comment block that could be used in GitHub CI: concise summary pass/fail recommendation ⚙️ System Requirements Must handle messy or partial JSON inputs Must be robust to schema variation Must NOT hallucinate fields or endpoints Must clearly separate: observed facts inferred relationships Must prioritize engineering accuracy over verbosity 🧪 UX Requirements Simple single-page interface Two input panels: Expected API Actual API “Run Drift Check” button Output formatted for: CI usage Notion documentation Engineering review ⚡ Performance Goal Output results in under 10 seconds Must work without database (stateless MVP acceptable) 💼 Product Positioning This is a developer-first infra tool that: Prevents silent API-breaking production bugs Reduces frontend/backend coordination overhead Acts as a lightweight API contract validation layer 🏁 Success Criteria Detects real-world API schema drift accurately Produces clear actionable engineering insights Can be used directly in CI pipelines Requires minimal setup (copy/paste input acceptable)