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Description
Your AI copilot for API testing - supports GraphQL and REST with AI-powered mocking, time-travel debugging and performance analytics Key features ✸ Request monitoring ✧ GraphQL and REST detection with filters (status, method, type, search) ✧ Subframes / iframes: traffic from embedded clients is monitored when enabled ✧ Rich request/response views; in-code Ctrl/Cmd+F in code blocks ✧ Options requests can be filtered from noise where appropriate ✸ AI-assisted mocking ✧ Generate mocks from captured traffic via your API keys ✧ Providers include OpenAI, Anthropic, OpenRouter, Azure OpenAI, Google Gemini, plus a local / pattern-based path (no remote LLM) ✧ Configure models and limits under Settings ✸ Schema explorer & query builder ✧ Introspection and execution against endpoints you choose ✧ Auth helpers (Bearer, API keys, custom headers) and visual query builder ✸ Rule engine ✧ GraphQL, REST, both, and static asset (JS/CSS/images) rule types ✧ Actions: mock, delay, block, modify, redirect, passthrough (where supported per browser) ✧ URL / host patterns, GraphQL operation matching, REST path and method matching ✧ Import / export rules as JSON for teams ✧ Declarative Net Request on Chrome (MV3) for static redirects/blocks; webRequest path on Firefox (MV2) for equivalent tooling ✸ Performance analytics ✧ Session-oriented metrics: counts, success rate, response times, charts ✧ Per-endpoint stats (e.g. count, avg, min/max, percentiles) and export (JSON) ✸ Time-travel debugging ✧ Record request/response sequences, replay with controls, edit responses mid-replay ✧ Export / import sessions ✸ Developer experience ✧ DevTools panel integration; optional toolbar icon behavior tied to enabled state ✧ Local storage for rules and settings (optional AI calls go to the provider you pick) ✧ Logging levels (Silent → Debug)