What is GravBot?

39/100
Trust Score (E)
🔴 Avoid

GravBot is a AI tool that Analyzes on-chain data to track the adoption trajectory of crypto-native financial primitives including streaming payments, conditional transfers, and programmable money logic patterns across all Base. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x42198bc3a6667e7024b615a042db24fc498d0e7d. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What GravBot Does

GravBot is a agent in the AI tool category. Analyzes on-chain data to track the adoption trajectory of crypto-native financial primitives including streaming payments, conditional transfers, and programmable money logic patterns across all Base ecosystem applications. Identifies new money Lego primitives achieving genuine protocol-level adopt. It is published by 0x42198bc3a6667e7024b615a042db24fc498d0e7d and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use GravBot

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

Details

Author0x42198bc3a6667e7024b615a042db24fc498d0e7d
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=gravbot

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

Safer Alternatives

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Frequently Asked Questions

What is GravBot used for?
GravBot is a AI tool tool. Analyzes on-chain data to track the adoption trajectory of crypto-native financial primitives including streaming payments, conditional transfers, and programmable money logic patterns across all Base.
Is GravBot free?
License: Check project page. GravBot has 0 GitHub stars.
Is GravBot safe?
GravBot has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to GravBot?
Top alternatives: MarkItDown, Fetch, Time. See full comparison.

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

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