What is marketing-intelligence-agent?

36/100
Trust Score (E)
๐Ÿ”ด Avoid

marketing-intelligence-agent is a AI tool that AI marketing intelligence agent โ€” connects to GA4 data via BigQuery, detects anomalies, and generates strategic briefings using Gemini 3.1 Pro. It has a Nerq Trust Score of 36/100 (E). 0 GitHub stars. Published by mufibra23. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

36
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What marketing-intelligence-agent Does

marketing-intelligence-agent is a tool in the AI tool category. AI marketing intelligence agent โ€” connects to GA4 data via BigQuery, detects anomalies, and generates strategic briefings using Gemini 3.1 Pro. It is published by mufibra23 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use marketing-intelligence-agent

marketing-intelligence-agent is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authormufibra23
CategoryAI tool
LicenseNot specified
TypeTool
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=marketing-intelligence-agent

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

Safer Alternatives

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Frequently Asked Questions

What is marketing-intelligence-agent used for?
marketing-intelligence-agent is a AI tool tool. AI marketing intelligence agent โ€” connects to GA4 data via BigQuery, detects anomalies, and generates strategic briefings using Gemini 3.1 Pro.
Is marketing-intelligence-agent free?
License: Check project page. marketing-intelligence-agent has 0 GitHub stars.
Is marketing-intelligence-agent safe?
marketing-intelligence-agent has a Nerq Trust Score of 36/100 (E). Evaluate carefully.
What are alternatives to marketing-intelligence-agent?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.

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

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