What is Subgraph Registry?

39/100
Trust Score (E)
🔴 Avoid

Subgraph Registry is a AI tool that Pre-computed index of 15,500+ subgraphs on The Graph Network with domain classification, protocol type detection, schema fingerprinting, and reliability scoring.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/paulieb14/subgraph-registry. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
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GRADE
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STARS
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DOWNLOADS

What Subgraph Registry Does

Subgraph Registry is a mcp_server in the AI tool category. Pre-computed index of 15,500+ subgraphs on The Graph Network with domain classification, protocol type detection, schema fingerprinting, and reliability scoring.. It is published by https://github.com/paulieb14/subgraph-registry and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Subgraph Registry

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

Details

Authorhttps://github.com/paulieb14/subgraph-registry
CategoryAI tool
LicenseNot specified
Typemcp_server
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=subgraph-registry

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

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Frequently Asked Questions

What is Subgraph Registry used for?
Subgraph Registry is a AI tool tool. Pre-computed index of 15,500+ subgraphs on The Graph Network with domain classification, protocol type detection, schema fingerprinting, and reliability scoring..
Is Subgraph Registry free?
License: Check project page. Subgraph Registry has 0 GitHub stars.
Is Subgraph Registry safe?
Subgraph Registry has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to Subgraph Registry?
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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