Research Card Values and Recent Sales
Look up current trading card values and recent sale prices across sports and collectibles.
Track Top Cards by Sport or Category
Discover the highest-value and most sought-after cards in a sport or collectible category.
Quick answer: Use the Trading Cards tool through ToolRouter to track top cards by sport or category directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolUnderstanding which cards are leading the market in a specific sport or category is essential for collectors entering a new space or dealers trying to understand what buyers are actively seeking. Without a current picture of what is at the top of the market, you are navigating by memory or outdated information.
The top_cards skill returns the highest-value and most actively traded cards in a given sport or collectible category. Rankings include rarity grades, recent sale prices, and value trend signals that help you understand both the peak of the market and what is generating current buyer interest.
New collectors researching a category before their first purchases, dealers assessing market demand, and sports card investors looking for category-level opportunity all use this to get a current overview of what is leading the market in any given space.
How to track top cards by sport or category with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude gives you a category-level market overview through a guided research conversation. Search for top cards in a sport or collectible category, review the current leaders, and ask follow-up questions about what is driving value, which sub-categories are seeing the most activity, and where the best entry points are for a new collector.
Connect ToolRouter to Claude
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
How to track top cards by sport or category with Claude
Once connected (see setup above), use the Trading Cards tool:
- Specify the sport, era, or category you want to explore
- Ask: "Use trading-cards to show me the top cards in current NFL trading card market"
- Claude returns top-ranked cards with values and rarity data
- Ask: "Which category within NFL cards is seeing the most price growth right now?"
Example prompt for Claude
Try this with Claude using the Trading Cards tool
Use trading-cards to show me the top trading cards in the current NBA market. I am new to collecting and want to understand what is leading the market. Show me the top cards by value, what is driving prices, and where a new collector with a £500 budget might find value.
Tips for Claude
- Ask for a breakdown by player tier — franchise players, rising stars, and veterans — to understand the market structure
- Ask Claude to explain what signals typically precede a price spike in the category you are researching
- A new collector's budget goes further in less-covered eras or sports where competition is lower
ChatGPT produces category market reports from card ranking data. Search for top cards in a sport or collectible type, get the current leaders, and ask for a formatted market overview with value drivers, price ranges, and entry-level recommendations. The structured output is useful for a collector briefing or dealer market review.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
How to track top cards by sport or category with ChatGPT
Once connected (see setup above), use the Trading Cards tool:
- Specify the sport or category to research
- Ask: "Use trading-cards to show me the top cards in current Premier League football card market"
- ChatGPT returns top cards with values and rankings
- Request: "Produce a market overview with top cards, price ranges, value drivers, and a beginner buying guide"
Example prompt for ChatGPT
Try this with ChatGPT using the Trading Cards tool
Use trading-cards to research the top cards in the current Pokémon trading card market. Show me the highest-value cards, recent sale prices, and what is driving their value. Produce a market overview with top cards and a guide for someone considering their first collection purchase.
Tips for ChatGPT
- Ask for a market overview format covering both peak value cards and accessible entry points
- Request that ChatGPT explain the grading scale relevant to the category so you can assess condition language correctly
- Ask about the most common mistakes new collectors make in the category before making any purchases
Copilot retrieves top card rankings and market data from within your IDE for building card market dashboards, trading platform features, or collector community tools. Query by sport or category, extract structured ranking and value data, and wire the output into your market tracking or community application.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
How to track top cards by sport or category with Copilot
Once connected (see setup above), use the Trading Cards tool:
- Ask: "Use trading-cards to show me the top cards in the current MLB market"
- Copilot returns structured top-card ranking data
- Ask: "Return as JSON with rank, player, card_name, set, year, rarity, recent_sale_price, currency, and estimated_value"
- Wire the data into your card market dashboard or ranking feature
Example prompt for Copilot
Try this with Copilot using the Trading Cards tool
Use trading-cards to show me the current top 20 cards in the NFL trading card market. Return typed JSON with rank, player, card_name, set, year, rarity, recent_sale_price, currency, and estimated_value.
Tips for Copilot
- Include a rank field so your app can display a numbered leaderboard directly from the data
- Store sport and category fields to support filtering across a multi-sport card market platform
- Add a fetched_at timestamp so your dashboard can indicate when rankings were last updated
OpenClaw processes card ranking queries in batch across multiple sports, eras, and collectible categories, returning normalized market data for card trading platforms, collector apps, or market analysis tools. Build comprehensive category-level market datasets with scheduled refresh runs.
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 toolsHow to track top cards by sport or category with OpenClaw
Once connected (see setup above), use the Trading Cards tool:
- Specify the sports or categories to track
- Ask: "Use trading-cards to get top card rankings for NBA, NFL, and MLB"
- OpenClaw returns structured top-card data for all categories
- Normalize to a stable schema with sport, rank, player, card_name, rarity, recent_sale, and estimated_value
Example prompt for OpenClaw
Try this with OpenClaw using the Trading Cards tool
Use trading-cards to get the current top cards across NBA, NFL, MLB, and Pokémon categories. Return stable JSON with category, rank, player_or_character, card_name, set, year, rarity, recent_sale_price, currency, and estimated_value for all results.
Tips for OpenClaw
- Lock the schema before your first batch run so all category results are directly comparable
- Tag each record with category and sport fields to support cross-category analysis in your platform
- Schedule daily refresh runs for active market monitoring — top card rankings shift quickly with player news
Frequently Asked Questions
How do I track top cards by sport or category with an AI assistant?
Discover the highest-value and most sought-after cards in a sport or collectible category. Connect the Trading Cards tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Specify the sport, era, or category you want to explore Ask: "Use trading-cards to show me the top cards in current NFL trading card market"
Which AI assistants can track top cards by sport or category?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all track top cards by sport or category using the Trading Cards tool through ToolRouter, with no API keys or coding required.
What does the Trading Cards tool do?
Look up top trading cards by value, rarity, and recent sales across sports and collectibles.
Related Use Cases
Identify Valuable Cards in a Collection
Research which cards in a collection have significant current market value to prioritise grading or selling.