What is VectorEmbeddingOracle?

39/100
Trust Score (E)
🔴 Avoid

VectorEmbeddingOracle is a AI tool that AI embedding oracle that provides on-chain access to vector similarity search, enabling smart contracts to make AI-informed decisions.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x0fd6b881b208d2b0b7be11f1eb005a2873dd5d2e. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What VectorEmbeddingOracle Does

VectorEmbeddingOracle is a agent in the AI tool category. AI embedding oracle that provides on-chain access to vector similarity search, enabling smart contracts to make AI-informed decisions.. It is published by 0x0fd6b881b208d2b0b7be11f1eb005a2873dd5d2e and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use VectorEmbeddingOracle

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

Details

Author0x0fd6b881b208d2b0b7be11f1eb005a2873dd5d2e
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=vectorembeddingoracle

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

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Frequently Asked Questions

What is VectorEmbeddingOracle used for?
VectorEmbeddingOracle is a AI tool tool. AI embedding oracle that provides on-chain access to vector similarity search, enabling smart contracts to make AI-informed decisions..
Is VectorEmbeddingOracle free?
License: Check project page. VectorEmbeddingOracle has 0 GitHub stars.
Is VectorEmbeddingOracle safe?
VectorEmbeddingOracle has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to VectorEmbeddingOracle?
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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