How to Identify Valuable Cards in a Collection with OpenClaw
Identify valuable cards in a collection with OpenClaw and ToolRouter. Batch valuation for dealers.
Tool
OpenClaw processes collection valuation queries in batch across players, sets, and sports, returning normalized card value and sale data for dealer tools, estate appraisal platforms, or collection management applications. Evaluate large collections systematically without individual card lookups.
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 Trading Cards tool:
- Prepare a list of key players, sets, or categories to check
- Ask: "Use trading-cards to look up top cards and values for each player in this list"
- OpenClaw returns structured valuation data for all players
- Normalize to a stable schema with player, card_name, set, year, grade, rarity, recent_sale, and estimated_value
Example Prompt
Try this with OpenClaw using the Trading Cards tool
Use trading-cards to look up top cards and current values for these players across 1990s NBA and NFL sets: Michael Jordan, LeBron James rookie, Emmitt Smith, and Jerry Rice. Return stable JSON with player, sport, card_name, set, year, grade, rarity, recent_sale_price, currency, and estimated_value.
Tips
- Lock the schema before processing large collections so all player results are directly comparable
- Tag each record with sport and era to support cross-category collection analysis
- Schedule monthly refresh runs to keep valuation data current for active collection management