カーボンEXと大阪ガス、グリーンチェッカーAIにAPI連携

Carbon EX Inc. has begun API integration with GreenChecker, an AI service for evaluating carbon credit quality developed and provided by Osaka Gas Co., Ltd.

Through this collaboration, companies will be able to purchase carbon credits while checking the quality assessment score, which evaluates the validity, effectiveness, and environmental impact of the credits, on the trading screen of the carbon credit and emissions trading exchange “Carbon EX.”

As companies move towards decarbonization, the use of carbon credits is expanding both domestically and internationally. However, when procuring credits, which have different prerequisites and characteristics for each project, how to understand and judge their quality has become an important issue.

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Furthermore, from the perspective of emissions management and cost management, there will be a greater demand than ever for the validity and transparency of decisions made when procuring credits.

We have been working with international rating agencies to develop an evaluation environment for carbon credits based on international standards. Now, in order to further enhance the objectivity of our evaluations, we have begun API integration with GreenChecker, the world’s first AI service for evaluating carbon credit quality, developed by 大阪ガス. This collaboration will further strengthen the environment in which carbon credit quality evaluations can be confirmed at the transaction stage, and will support the selection of appropriate carbon credits.

In this collaboration, the quality assessment scores of carbon credits calculated using AI generated by “GreenChecker” will be visualized on the カーボンEX platform via API, enabling user companies to make procurement decisions while checking the quality assessment of each credit at the time of transaction.

GreenChecker’s evaluation scores are calculated based on multiple evaluation criteria set for each project’s methodology, allowing for a multifaceted view of credit quality. In future updates, we plan to provide a feature that allows users to check the score breakdown for each evaluation criterion, further increasing transparency of the judgment basis.

This collaboration will enable companies to select credits objectively based on domestic and international evaluations, without relying on a single evaluation.

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