What is BIDGES?

40/100
Trust Score (E)
⚠️ Use Caution

BIDGES is a AI tool that TAG IT is the physical world primitive that agentic commerce has been missing. We cryptographically bind NFC chips to on-chain digital twins so AI agents can verify a real object exists, is authentic,. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by 0x6ffa1e00509d8b625c2f061d7db07893b37199bc. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

40
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What BIDGES Does

BIDGES is a agent in the AI tool category. TAG IT is the physical world primitive that agentic commerce has been missing. We cryptographically bind NFC chips to on-chain digital twins so AI agents can verify a real object exists, is authentic, and unmodified before spending a single wei. We are pioneering the first protocol that enables AI a. It is published by 0x6ffa1e00509d8b625c2f061d7db07893b37199bc and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use BIDGES

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

Details

Author0x6ffa1e00509d8b625c2f061d7db07893b37199bc
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=bidges

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

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Frequently Asked Questions

What is BIDGES used for?
BIDGES is a AI tool tool. TAG IT is the physical world primitive that agentic commerce has been missing. We cryptographically bind NFC chips to on-chain digital twins so AI agents can verify a real object exists, is authentic,.
Is BIDGES free?
License: Check project page. BIDGES has 0 GitHub stars.
Is BIDGES safe?
BIDGES has a Nerq Trust Score of 40/100 (E). Evaluate carefully.
What are alternatives to BIDGES?
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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