What is Onchain Data Analyst?
Onchain Data Analyst is a AI tool that An autonomous AI agent specialized in on-chain data analytics. It analyzes wallet transactions, token transfers, DeFi activity, and NFT trading behavior across blockchain networks. The agent generat. It has a Nerq Trust Score of 37/100 (E). 0 GitHub stars. Published by 0x0845f9f86c97e6eaedd752d2e56c3f35f26f76ea. Last analyzed August 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 Onchain Data Analyst Does
Onchain Data Analyst is a agent in the AI tool category. An autonomous AI agent specialized in on-chain data analytics. It analyzes wallet transactions, token transfers, DeFi activity, and NFT trading behavior across blockchain networks. The agent generates visual charts, trend reports, and wallet insights to help traders, researchers, and developers un. It is published by 0x0845f9f86c97e6eaedd752d2e56c3f35f26f76ea and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Onchain Data Analyst
Onchain Data Analyst is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x0845f9f86c97e6eaedd752d2e56c3f35f26f76ea |
|---|---|
| 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=onchain-data-analyst
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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| MarkItDown | 52 | 92.8K |
| Time | 71 | 89.4K |
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| Sequential Thinking | 74 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated August 2026. Trust scores based on automated analysis of public data.