How to Research Card Values and Recent Sales with OpenClaw
Research card values and recent sales with OpenClaw and ToolRouter. Batch card data for platforms.
Tool
OpenClaw processes trading card queries in batch across players, sports, and card types, returning normalized sale and value data for card market platforms, portfolio tracking tools, or dealer inventory applications. Monitor multiple players and card categories without individual 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 players or card categories to research
- Ask: "Use trading-cards to look up top cards and recent sales for each player in this list"
- OpenClaw returns structured card 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 recent sale values for these players: Jalen Hurts, CeeDee Lamb, and Justin Jefferson. Return stable JSON with player, card_name, set, year, grade, rarity, recent_sale_price, currency, and estimated_value for all results.
Tips
- Lock the schema before your first batch run so all player results are directly comparable
- Tag each record with sport and league fields to support filtering in a multi-sport card platform
- Schedule daily or weekly refresh runs to keep sale prices current — card markets move fast