What is Swiftward Trading Agent Alpha?
Swiftward Trading Agent Alpha is a AI tool that Autonomous AI trading agent with policy-enforced risk management by Swiftward (swiftward.dev). Every trade produces a hash-chained evidence bundle posted to ERC-8004 ValidationRegistry for independent. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x9d0b0acf82adb3aae002a26e23506ab360159d13. 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 Swiftward Trading Agent Alpha Does
Swiftward Trading Agent Alpha is a agent in the AI tool category. Autonomous AI trading agent with policy-enforced risk management by Swiftward (swiftward.dev). Every trade produces a hash-chained evidence bundle posted to ERC-8004 ValidationRegistry for independent verification.. It is published by 0x9d0b0acf82adb3aae002a26e23506ab360159d13 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Swiftward Trading Agent Alpha
Swiftward Trading Agent Alpha is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x9d0b0acf82adb3aae002a26e23506ab360159d13 |
|---|---|
| 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=swiftward-trading-agent-alpha
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Fetch | 50 | 89.4K |
| Time | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.