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Customer support

Magic Eden · Lorikeet

Vendor-reportedBanking & financeIn productionStartupNLP

Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.

Reported by lorikeetcx.ai (vendor self-report). Checked against the source page on 2026-09-06. 2 of 3 figures below appear on that page word for word; the rest are marked.

The problem

Magic Eden faced a surge in customer support ticket volumes and their previous AI agent solution had low customer satisfaction scores (CSAT) at ~45%.

What was deployed

Vendor
Lorikeet
Products
Lorikeet platform
Technique
NLP
Build or buy
Bought off the shelf
Deployment
SaaS
Data used
Conversation and FAQ-type workflows, API integrations to search and confirm transactions on multiple block explorers (e.g., Solana, Ethereum).
Timeline
1 months

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

74%CSATfrom ~45%Within the first month

“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.”

Not found on the source page in these words

45%CSAT (previous AI Agent)

“Their previous AI agent solution left a lot to be desired on their customer satisfaction scores (CSAT) at ~45% vs 78% human-level.”

Quoted word for word from the source

78%CSAT (human-level)

“Their previous AI agent solution left a lot to be desired on their customer satisfaction scores (CSAT) at ~45% vs 78% human-level.”

Quoted word for word from the source

“We were very impressed with the results Lorikeet delivered, but we also highly valued Lorikeet being a thought partner, helping us take our support to the next level.”
— Daniel Cavagnino, Operations Manager, Magic Eden

Sources

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