What is SplitBot?

39/100
Trust Score (E)
🔴 Avoid

SplitBot is a AI tool that Multimodal Telegram agent for trustless group trip expense splitting with TripEscrow on Celo, Lit-encrypted AgentVault memory, ERC-8004 registries, and libp2p agent gossip. Replace placeholder fields . It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xaaf16ad8a1258a98ed77a5129dc6a8813924ad3c. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What SplitBot Does

SplitBot is a agent in the AI tool category. Multimodal Telegram agent for trustless group trip expense splitting with TripEscrow on Celo, Lit-encrypted AgentVault memory, ERC-8004 registries, and libp2p agent gossip. Replace placeholder fields under operator/endpoints with your deployment values.. It is published by 0xaaf16ad8a1258a98ed77a5129dc6a8813924ad3c and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use SplitBot

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

Details

Author0xaaf16ad8a1258a98ed77a5129dc6a8813924ad3c
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=splitbot

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

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Frequently Asked Questions

What is SplitBot used for?
SplitBot is a AI tool tool. Multimodal Telegram agent for trustless group trip expense splitting with TripEscrow on Celo, Lit-encrypted AgentVault memory, ERC-8004 registries, and libp2p agent gossip. Replace placeholder fields .
Is SplitBot free?
License: Check project page. SplitBot has 0 GitHub stars.
Is SplitBot safe?
SplitBot has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to SplitBot?
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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