# GradingCardboard

- **Website:** <https://gradingcardboard.com>
- **Primary alias:** `gradingcardboard.com`

## Description

GradingCardboard is an AI-powered companion for trading card game collectors, focused on helping Pokémon card owners assess cards before deciding whether to submit them for official grading. Its service provides instant pre-grading analysis, using advanced vision filters to examine a card and offer a professional-grade preliminary assessment. This gives collectors a way to review their Pokémon cards before committing to the official submission process. GradingCardboard is positioned as a practical tool for the pre-submission stage, bringing AI-based visual analysis into a familiar part of card collecting. Rather than describing a formal grading authority, the available information presents the brand as a companion for preliminary evaluation. Its central offering is therefore a focused digital service: AI-assisted Pokémon card pre-grading, designed to support collectors as they consider their next steps. By emphasizing speed and visual filters, GradingCardboard aims to make an initial assessment more accessible before an official submission. The service is intended for TCG collectors, particularly those seeking a quick, technology-assisted review of Pokémon cards.

## Industries

- 🎸 Hobbies and Leisure
- 🎸 Antiques and Collectibles _(under Hobbies and Leisure)_
- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idKllYT-iW/w/1024/h/1024/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791194643712)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Bright Sun | #fde047 | accent |
| Mirage | #1a202c | dark |
| Texas | #e7f898 | light |

## Fonts

- Bebas Neue — asset _(google)_
- Manrope — asset _(google)_

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_Source: <https://brandfetch.com/gradingcardboard.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._