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---
name: monograph-monograph-stats
description: Show knowledge graph statistics — node counts by type, edge type breakdown, and top concepts by importance score
type: flow
---
# monograph stats
Show knowledge graph statistics — node counts by type, edge type breakdown, and top concepts by importance.
## Usage
```bash
npx monomind monograph stats [options]
```
## Options
| Flag | Short | Type | Default | Description |
|---|---|---|---|---|
| `--path` | `-p` | string | cwd | Root path (location of `.monomind/monograph.db`) |
| `--top` | — | number | `10` | Number of top concepts to show |
## Examples
```bash
# Show graph statistics
npx monomind monograph stats
# Show top 20 concepts
npx monomind monograph stats --top 20
# Stats for a different project path
npx monomind monograph stats -p ./other-project
```
## Output
- **Nodes table** — count per node type (`File`, `Section`, `Function`, `Class`, `Concept`) with bar chart
- **Edges table** — count per relation type (`IMPORTS`, `TAGGED_AS`, `CO_OCCURS`, `INFERRED`, etc.)
- **Top N Concepts** — ranked by importance score and section count, shown with star ratings
- **Summary line** — CO_OCCURS edge count and LLM-inferred edge count
## MCP Tool
```javascript
mcp__monomind__monograph_stats()
```
## See Also
- `monograph build` — build or rebuild the graph
- `monograph search` — search across nodes
- `monograph watch` — auto-rebuild on changes
