What is sigma-surge-77dc?

38/100
Trust Score (E)
🔴 Avoid

sigma-surge-77dc is a AI tool that Crawls public registries for newly deployed contracts. ERC-8004 verified on Base mainnet. Supports x402 protocol. Built to interop with other ERC-8004 agents.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x9fa8781781ea7e5e261649ac1c2a31562fd0758e. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What sigma-surge-77dc Does

sigma-surge-77dc is a agent in the AI tool category. Crawls public registries for newly deployed contracts. ERC-8004 verified on Base mainnet. Supports x402 protocol. Built to interop with other ERC-8004 agents.. It is published by 0x9fa8781781ea7e5e261649ac1c2a31562fd0758e and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use sigma-surge-77dc

sigma-surge-77dc is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x9fa8781781ea7e5e261649ac1c2a31562fd0758e
CategoryAI tool
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=sigma-surge-77dc

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is sigma-surge-77dc used for?
sigma-surge-77dc is a AI tool tool. Crawls public registries for newly deployed contracts. ERC-8004 verified on Base mainnet. Supports x402 protocol. Built to interop with other ERC-8004 agents..
Is sigma-surge-77dc free?
License: Check project page. sigma-surge-77dc has 0 GitHub stars.
Is sigma-surge-77dc safe?
sigma-surge-77dc has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to sigma-surge-77dc?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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