Midpoint Card Prices

By I Lov Guitars Inc.

Overview

Look up what a trading card is worth and whether grading it pays. Midpoint returns current USD market prices for 1.5M+ Pokémon, Magic: The Gathering, Yu-Gi-Oh!, One Piece, Lorcana, Gundam, sports (baseball, basketball, football, hockey, soccer, wrestling, UFC, golf, tennis, boxing, racing) and entertainment cards. Ask for a card by name, set or number to get its raw (ungraded) price by condition and the graded ladder for PSA, CGC, BGS, SGC and TAG. Ask whether it is worth grading to get the PSA 9 and PSA 10 premium, net profit after grading fees, expected value by gem rate and a plain verdict. You can also see 7 to 180 days of price history, the biggest 30-day movers, rising cards that actually sell, the best cards to grade in a game or set, and priced set checklists. Every answer links to the matching page on cardcenteringtool.com. No account is needed and nothing is written.

Tools

best_cards_to_grade

ChatGPT

Use this when the user asks which cards in a game, sport or set have the biggest payoff from grading. Ranks priced cards by expected net profit at a 50% gem rate (half PSA 10, half PSA 9, minus raw and the fee), requiring both PSA 9 and PSA 10 prices so thin-market outliers are excluded. Returns card ids for grading_roi. Do not use for a single named card.

get_card_prices

ChatGPT

Use this when the user wants the full current value of a specific card: ungraded prices by condition (NM/LP/MP/HP) and graded prices for every company and grade on record (PSA, CGC, BGS, SGC, TAG). Requires a card id from search_cards. Prices are USD market values from real sold listings, refreshed daily. Do not use to search by name.

get_price_history

ChatGPT

Use this when the user asks how a card's price has changed over weeks or months, or wants a trend for the raw or a PSA-graded series. Returns dated USD market values for the last 7 to 180 days. Requires a card id from search_cards. Do not use for forecasts.

get_set_cards

ChatGPT

Use this when the user wants the most valuable cards in a specific set or a priced checklist of a set. Requires a set id from list_sets. Returns raw and PSA 10 USD prices per card. Do not use for a single named card; use search_cards instead.

grading_roi

ChatGPT

Use this when the user asks whether a card is worth grading, submitting to PSA/CGC/BGS/SGC/TAG, or what a PSA 10 adds. Returns raw vs PSA 9 vs PSA 10 market prices, the gem premium, net profit after grading fees per outcome, expected value by gem probability, the break-even gem rate, which company pays most, and a plain-language verdict. Requires a card id from search_cards. It does not assess the condition of the user's copy.

liquid_movers

ChatGPT

Use this when the user wants cards that are both rising in price and easy to sell: recent gainers filtered to cards with at least 25 recorded sales a year and a raw price of at least $5, across all games and sports. Better than trending_cards for flipping or selling decisions. Do not use for a single named card.

list_sets

ChatGPT

Use this to find the set id for a game or sport (e.g. "Evolving Skies", "2019 Panini Prizm") before calling get_set_cards, or when the user asks which sets exist. Newest first. Do not use to price a single card.

search_cards

ChatGPT

Use this first when the user names a trading card and wants its value, price, or whether to grade it. Searches 1.5M+ Pokémon, Magic, Yu-Gi-Oh!, One Piece, Lorcana, sports (baseball, basketball, football, hockey, soccer, wrestling, UFC and more) and entertainment cards by name, set, number and year, returning ungraded and PSA 10 market prices in USD from real sold listings. Returns card ids for get_card_prices, grading_roi and get_price_history. Do not use for sealed product, for cards you already have an id for, or for price prediction.

trending_cards

ChatGPT

Use this when the user asks which cards are rising, hot, spiking, crashing or trending, in one game or across all games. Returns the biggest 30-day gainers (or drops) with the percentage change, measured on the PSA 10 price where the card has one and on the raw price otherwise; moves over 300% are excluded as bad data. Do not use for a single named card or for long-term history.

Example Prompts

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