What is Crypto APIs Prepare Transactions?

39/100
Trust Score (E)
🔴 Avoid

Crypto APIs Prepare Transactions is a AI tool that Building unsigned transactions on multiple blockchains via Crypto APIs.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/cryptoapis-io/cryptoapis-mcp-prepare-transactions. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Crypto APIs Prepare Transactions Does

Crypto APIs Prepare Transactions is a mcp_server in the AI tool category. Building unsigned transactions on multiple blockchains via Crypto APIs.. It is published by https://github.com/cryptoapis-io/cryptoapis-mcp-prepare-transactions and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Crypto APIs Prepare Transactions

Crypto APIs Prepare Transactions is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/cryptoapis-io/cryptoapis-mcp-prepare-transactions
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=crypto-apis-prepare-transactions

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

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Frequently Asked Questions

What is Crypto APIs Prepare Transactions used for?
Crypto APIs Prepare Transactions is a AI tool tool. Building unsigned transactions on multiple blockchains via Crypto APIs..
Is Crypto APIs Prepare Transactions free?
License: Check project page. Crypto APIs Prepare Transactions has 0 GitHub stars.
Is Crypto APIs Prepare Transactions safe?
Crypto APIs Prepare Transactions has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to Crypto APIs Prepare Transactions?
Top alternatives: MarkItDown, Fetch, Time. See full comparison.

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

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