What is KyleKylex1972?
KyleKylex1972 is a AI tool that ERC-8004: Trustless Agents is an Ethereum standard designed to enable autonomous AI agents to discover, verify, and interact with each other across different organizations without needing prior trust . It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x7acec8f86c96045cb9ad2bf9dbf5fe51ed993eec. 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 KyleKylex1972 Does
KyleKylex1972 is a agent in the AI tool category. ERC-8004: Trustless Agents is an Ethereum standard designed to enable autonomous AI agents to discover, verify, and interact with each other across different organizations without needing prior trust relationships. Proposed in 2025 and co-authored by experts from MetaMask, Ethereum Foundation, Goog. It is published by 0x7acec8f86c96045cb9ad2bf9dbf5fe51ed993eec and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use KyleKylex1972
KyleKylex1972 is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x7acec8f86c96045cb9ad2bf9dbf5fe51ed993eec |
|---|---|
| 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=kylekylex1972
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Sequential Thinking | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.