| What it does | Ontological knowledge graph that surfaces specification gaps, test coverage gaps, and unaddressed architecture standards before code ships
| Web-based API platform for designing, testing, mocking, monitoring and documenting REST, GraphQL, gRPC, WebSocket, MQTT and MCP APIs
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| Pricing model | Freemium
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| Pricing | Free CLI (MIT + Commons Clause licence, free for own projects including commercial software). Bootstrap Kit $149 one-time per repository (includes 12 months updates, unlimited team members, web visualiser, AI audit commands, architecture standards YAML, Docker setup, and Claude + Kimi Code CLI skill
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| Key features | - Reduced AI orientation tokens (71% fewer on Formbricks codebase)
- Requirements traceability from user stories through use cases to features to tests
- Automated requirement quality checks using 13 QUS criteria and 6 traceability rules without AI API key
- V-model 4-tier test coverage mapping (component, integration, use case flow, end-to-end)
- AI test quality audit across 7 AS-TEST dimensions
- Code scanning for Go, TypeScript, Python, Java, C# with automatic symbol and test linking
- Web visualiser with drill-down graph navigation and entity editor
- Parallel session coordination with in-progress marking
- Docker Compose setup with one-command initialization
| - REST, GraphQL, gRPC, WebSocket, Socket.IO, SSE, MQTT and MCP clients
- API testing with pre-request and test scripts
- Collection runner with CSV and JSON data files
- Load testing with virtual users and profiles
- Mock servers with request matching and response templates
- API monitoring with scheduled runs and alerts
- Postman collection compatibility and migration
- GitHub sync to auto-generate collections from code
- Published API documentation with code samples
- Team collaboration with roles, comments and pull requests
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| What makes it different | - Maps what a system is supposed to do and whether it's verified, not just what code contains or what chats remember
- Surfaces specification gaps that code review cannot detect because the requirement was never written down
- Session start in 30 seconds with three commands replacing ten minutes of manual code reading
- Eliminates duplicate implementations across 12 parallel AI sessions with one shared ontology
- Bootstrap kit ROI in 5 days at 10 sessions/day through orientation token savings
| - Unified client for eight protocols in one workspace
- Native Rust engine uses 434 MB desktop memory versus 585 MB for Postman
- Automatic collection generation from GitHub repository code
- Postman collection and script compatibility without modification
- Free to use with no paid plans
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| Open source | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 3 | 0 |
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| Citation Flow (Majestic) | 19 | 4 |
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| Referring domains (Majestic) | 33 | 1 |
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