How to Discover Hidden Gems with OpenClaw
Use OpenClaw and ToolRouter to generate normalized hidden-gem shortlists from cult classics.
Tool
OpenClaw is ideal for recurring hidden-gem discovery across many seed films. Use `find_similar` to keep the schema normalized so shortlists can be compared across different cult classics.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Similar Movies tool:
- Define the seed, quality floor, and output size before running.
- Run `similar-movies.find_similar` and normalize the result fields across seed films.
- Compare shortlists from different cult classics to find consistent hidden gems.
- Store the normalized output for editorial or personalization workflows.
Example Prompt
Try this with OpenClaw using the Similar Movies tool
Use similar-movies to find films similar to Primer with a minimum vote average of 6.5. Keep the output normalized so I can compare hidden-gem shortlists across multiple cult classic seeds.
Tips
- Normalize quality thresholds across runs for fair comparison.
- Use the same page depth across seeds when comparing shortlists.
- The reason field is the key signal for distinguishing genuinely underrated picks.