The use case: how Magic Eden deploys Lorikeet
Magic Eden uses Lorikeet, integrated with Intercom, to handle customer support conversations and FAQ-type workflows for its NFT marketplace. The AI agent checks transaction status across multiple block explorers, helps troubleshoot swap and NFT visibility issues, and replies in multiple languages.
More reported results
Figures published in Lorikeet’s case study. They are not independently measured by usedby.
Their previous AI agent solution left a lot to be desired on their customer satisfaction scores (CSAT) at ~45% vs 78% human-level.
In the customer’s words
Lorikeet’s customer satisfaction scores are now nearly on par with that of our human agents. They can help users troubleshoot step by step complex blockchain issues and can independently check “on-chain” transaction status on the 10+ blockchains we support.We were very impressed with the CSAT scores Lorikeet delivered, but we also highly valued Lorikeet being a thought partner on helping us take our customer support to the next level.Lorikeet users in Crypto & Web3
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Based on Lorikeet’s published case study. We check the public evidence; the results are reported by the vendor.
lorikeetcx.ai- Last checked
- Oct 8, 2026
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- The figure: 74%Checked
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- The passage quoted aboveChecked
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- Magic Eden uses LorikeetChecked
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Within the first month of rolling out, Magic Eden achieved a CSAT of 74% with the workflows it rolled out: ~30 ppts higher than Magic Eden’s previous AI Agent and 4 ppts away from human CSAT scores.