What is NFT Listing Optimizer?
NFT Listing Optimizer is a AI tool that This AI helps sellers list NFTs at competitive prices. It works by analyzing recent sales, current floor prices, and buyer demand within the collection. It solves the problem of underpricing or overpr. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by 0x63bd0b9e6bf6e8f7a210ea07e3d00eb9eecb7784. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What NFT Listing Optimizer Does
NFT Listing Optimizer is a agent in the AI tool category. This AI helps sellers list NFTs at competitive prices. It works by analyzing recent sales, current floor prices, and buyer demand within the collection. It solves the problem of underpricing or overpricing NFTs. Pricing starts at $15 per month. Users paste their NFT details and receive recommended l. It is published by 0x63bd0b9e6bf6e8f7a210ea07e3d00eb9eecb7784 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use NFT Listing Optimizer
NFT Listing Optimizer is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x63bd0b9e6bf6e8f7a210ea07e3d00eb9eecb7784 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=nft-listing-optimizer
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.