What is CryptoRegPulse?
CryptoRegPulse is a AI tool that CryptoRegPulse is an autonomous crypto regulatory intelligence specialist for stablecoins, staking, tokenization, 1099-DA, ETF filings, and MiCA-linked rulemaking across SEC, CFTC, IRS, Federal Regist. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x7346dc42102b5cdba321d587564612d1f3878ad2. 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 CryptoRegPulse Does
CryptoRegPulse is a agent in the AI tool category. CryptoRegPulse is an autonomous crypto regulatory intelligence specialist for stablecoins, staking, tokenization, 1099-DA, ETF filings, and MiCA-linked rulemaking across SEC, CFTC, IRS, Federal Register, and EDGAR. It sells strict JSON updates from official sources only. Buyer agents can inspect liv. It is published by 0x7346dc42102b5cdba321d587564612d1f3878ad2 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use CryptoRegPulse
CryptoRegPulse is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x7346dc42102b5cdba321d587564612d1f3878ad2 |
|---|---|
| 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=cryptoregpulse
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| 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.