How to Identify Jewelry Pieces with OpenClaw
Identify jewelry pieces with OpenClaw and ToolRouter. Determine the style, period, and hallmarks of unknown jewelry for collectors and resellers.
Tool
Identify an unknown jewelry piece by style, period, and hallmarks. OpenClaw is the strongest fit for cataloguing a large estate or collection — running identifications across many pieces with a consistent record format.
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 Jewelry Visualizer tool:
- Define the inventory record schema — fields for period, metal, hallmarks, confidence, next action — before batching.
- Run `identify_piece` and `identify_hallmark` with `jewelry-visualizer` across all photos.
- Flag any pieces where the identification confidence is low for individual review.
- Export the full inventory in the schema format for the collection or probate record.
Example Prompt
Try this with OpenClaw using the Jewelry Visualizer tool
Use jewelry-visualizer to identify and catalogue 15 pieces from a jewelry estate. For each, identify the style period, metal content, hallmarks if visible, and confidence level. Return as a structured inventory table and flag any pieces with low identification confidence.
Tips
- Photograph each piece from multiple angles before batching — the identification quality is entirely dependent on photo clarity.
- Define the confidence threshold for 'low confidence' flags before review — pieces below 60% certainty should go to a professional appraiser.
- Separate identified pieces from flagged ones in the final export so probate or estate decisions are based on reliable information.