| What it does | Convert JSON to TOON format and reduce LLM token costs
| Ontological knowledge graph that surfaces specification gaps, test coverage gaps, and unaddressed architecture standards before code ships
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Free
| Freemium
|
|---|
| Pricing | Not given
| 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
|
|---|
| Key features | - Converts JSON to TOON format with token savings of 30-60%
- Local browser processing with no server data upload
- Human-readable output maintaining clarity
- Token savings statistics and reporting
- Support for deeply nested objects and repetitive keys optimization
- Automatic JSON validation
| - 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
|
|---|
| What makes it different | - Token-optimized format designed specifically for LLMs unlike generic JSON
- Resilient fault tolerance compared to strict JSON syntax requirements
- Direct monthly cost reduction of up to 50% for high-volume LLM applications
- Complete client-side processing ensuring maximum data privacy
| - 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
|
|---|
| Free plan | Not given
| Not given
|
|---|
| Open source | Not given
| Not given
|
|---|
| Platforms | Not given
| Not given
|
|---|
| Public API | Not given
| Not given
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 14 ● no change since last check | Not checked yet ● no change since last check |
|---|
| Trust Flow (Majestic) | 3 | 3 |
|---|
| Citation Flow (Majestic) | 13 | 19 |
|---|
| Referring domains (Majestic) | 13 | 33 |
|---|
SysEdge