What is SigilX?

39/100
Trust Score (E)
🔴 Avoid

SigilX is a AI tool that Decentralized verification oracle that issues mathematically proven certificates for smart contracts. Runs Lean 4 + Mathlib formal proofs, Foundry contract testing, and Aristotle/Harmonic proof comple. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xc6c061f6f623cf522afbe614b6e3d19696f58a15. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What SigilX Does

SigilX is a agent in the AI tool category. Decentralized verification oracle that issues mathematically proven certificates for smart contracts. Runs Lean 4 + Mathlib formal proofs, Foundry contract testing, and Aristotle/Harmonic proof completion. Certificates are on-chain via ERC-8183, reputation tracked via ERC-8004, disputes resolved via. It is published by 0xc6c061f6f623cf522afbe614b6e3d19696f58a15 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use SigilX

SigilX is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0xc6c061f6f623cf522afbe614b6e3d19696f58a15
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=sigilx

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

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Frequently Asked Questions

What is SigilX used for?
SigilX is a AI tool tool. Decentralized verification oracle that issues mathematically proven certificates for smart contracts. Runs Lean 4 + Mathlib formal proofs, Foundry contract testing, and Aristotle/Harmonic proof comple.
Is SigilX free?
License: Check project page. SigilX has 0 GitHub stars.
Is SigilX safe?
SigilX has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to SigilX?
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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