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G8KEPR VS Gitql

Compare G8KEPR VS Gitql and see what are their differences

G8KEPR

Unified security for APIs, AI agents, MCP tools, and LLM applications. API Security + MCP Security + AI Gateway + Verification Engine. Starting at $399/mo.

Rating
0 reviews
Pricing
Freemium Free trial $399 / Monthly (API Security - MCP Security - AI Gateway - Verification Engine)
Alternatives Is it good?
Gitql

Git query language, for quickly searching git contents.

Rating
0 reviews
Alternatives Is it good?
boldrouter
A unified, OpenAI-compatible gateway to every major LLM provider. One endpoint, one key, one bill - with automatic routing and failover. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Gitql seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
API popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

G8KEPR
Gitql
Website g8kepr.com github.com
Pricing
Freemium Free trial $399 / Monthly (API Security - MCP Security - AI Gateway - Verification Engine) Official pricing
—
Platforms
SaaS Cloud Self Hosted REST API Docker Kubernetes Linux +4
—
Company Startup from the United States · 1 - 9 employees · 2026 —
Listed in
Cyber Security AI MCP API LLM Gateway API Gateway Security & Privacy Monitoring Tools Security API Tools +7
Git Development Programming Language Code Collaboration +1

About G8KEPR and Gitql

In their own words, as submitted to SaaSHub.

G8KEPR
Gitql

A runtime security layer for AI apps — API, MCP, gateway, and model-output checks on one request plane, running inside your own VPC. Not a human at a keyboard — an AI agent running a multi-stage campaign: a recon probe, a fuzzing burst, a prompt injection, a poisoned tool. Each move rides below...

Read more about G8KEPR

No description of Gitql yet.

Features and specs

What each product offers, as listed by its team.

G8KEPR 7 features
Gitql 0 features
  • API Security
    1,500+ threat signatures, OWASP Top 10 coverage, real-time anomaly detection
  • MCP Security
    Deterministic tool-poisoning & rug-pull detection (SHA-256), CVE replay
  • AI Gateway
    Inline LLM firewall across 14+ providers, prompt + response scanning
  • Deterministic detection
    Regex + classical ML, ~7ms, $0 per token, no LLM-as-judge
  • Verification Engine
    Output DLP — PII/secret redaction plus grounding/hallucination checks
  • Deployment
    Runs in your VPC — zero data egress, self-hostable
  • Frameworks
    Mapped to OWASP, MITRE ATT&CK, ATLAS, and EU AI Act

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

G8KEPR
Gitql

No analysis of G8KEPR yet.

Overall verdict

  • GitQL is a solid choice for developers who want to query Git repository data using SQL-like syntax, offering a fast and intuitive way to analyze commits, branches, and repository metadata without learning a new query language, though it's a specialized tool best suited for specific use cases rather than general-purpose development.

Why this product is good

  • Allows querying Git repositories using familiar SQL syntax, reducing the learning curve
  • Open-source and actively maintained on GitHub with community contributions
  • Written in a performant language (often Rust or Go depending on version), making queries fast even on large repositories
  • Useful for extracting insights like commit history, contributor stats, and branch information
  • Lightweight and focused tool that does one thing well rather than trying to be a bloated all-in-one solution
  • Cross-platform compatibility for use across different operating systems

Recommended for

  • Developers who want to analyze Git repository data without writing custom scripts
  • Data analysts or engineers who prefer SQL syntax for querying non-traditional data sources
  • Teams needing quick insights into commit patterns, contributor activity, or repository structure
  • DevOps engineers automating repository audits or reporting
  • Open-source enthusiasts comfortable with command-line tools
  • Users who need a lightweight alternative to complex Git analytics platforms

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
G8KEPR
Gitql
100% 100%
API
0% 0%
0% 0%
Git
100% 100%
100% 100%
AI
0% 0%
0% 0%
Code Collaboration
100% 100%

Questions & Answers

As answered by people managing G8KEPR and Gitql.

What's the story behind your product?

G8KEPR's answer

G8KEPR started from a simple observation: every AI security tool assumed you were fine sending your prompts to someone else's cloud to be inspected — and none of them covered the new attack surface that MCP and AI agents introduced.

So it was built the opposite way: deterministic detection that runs inside your own network, covering all four layers of the modern AI stack, with honest, reproducible benchmarks instead of marketing numbers.

What makes your product unique?

G8KEPR's answer

Most AI security tools use an LLM to judge whether input is an attack — which is slow, costs per token, and is itself jailbreakable.

G8KEPR does the opposite:

  • Deterministic detection (regex + classical ML) — ~7ms, $0 per token, no LLM-as-judge
  • Runs in your own VPC — zero data egress, works air-gapped
  • Dedicated MCP security — deterministic tool-poisoning & rug-pull detection, with replay tests for real MCP CVEs (the part almost no one else covers)

Why should a person choose your product over its competitors?

G8KEPR's answer

Four security layers in one platform — API Security, MCP Security, AI Gateway, and a Verification Engine — instead of stitching together separate vendors.

  • Legacy gateways (Kong, Apigee) were built before LLMs, agents, and MCP existed, and charge $20k+/yr for middleware
  • G8KEPR starts at $399/month with AI-native capabilities they don't offer
  • Detection is deterministic and reproducible — published benchmarks, including the weak spots
  • Nothing leaves your network

How would you describe the primary audience of your product?

G8KEPR's answer

Engineering and security teams shipping AI applications to production — anyone running LLMs, AI agents, or MCP tools.

Especially:

  • Teams that can't send prompts to a third-party cloud for analysis (privacy, compliance, air-gapped)
  • Teams securing the agent tool-call layer (MCP), not just the API
  • Teams preparing for EU AI Act enforcement

Which are the primary technologies used for building your product?

G8KEPR's answer

Frontend: Next.js, React, TypeScript, Tailwind CSS Backend: Python, FastAPI, PostgreSQL, Redis Detection: self-hosted classical ML (TF-IDF + logistic regression) and fine-tuned models — no hosted LLM in the detection path Billing: Stripe Deployment: Linux / nginx, containerized for VPC & self-hosted

Who are some of the biggest customers of your product?

G8KEPR's answer

Newly launched — early access is open at g8kepr.com.

User comments

Share your experience with using G8KEPR and Gitql. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

G8KEPR 0 mentions
Gitql 1 mention

Tracking G8KEPR since Jul 2026.

  • GQL: A Query language for .git files written in Rust
    How does this compare to https://github.com/filhodanuvem/gitql. Source: over 3 years ago

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