
PieceX
Envato
Find the software you need - customize it to perfection.

Kong Enterprise
Apigee
Azure API Management
Tyk
MuleSoft
Auth0
Gravitee.io
Unified security for APIs, AI agents, MCP tools, and LLM applications. API Security + MCP Security + AI Gateway + Verification Engine. Starting at $399/mo.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | codehost.market | g8kepr.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United States · 10 - 19 employees · 2024 | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


White label software marketplace and source code.
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...
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
No analysis of G8KEPR yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing CodeHost and G8KEPR.
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.
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:
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.
G8KEPR's answer:
Engineering and security teams shipping AI applications to production — anyone running LLMs, AI agents, or MCP tools.
Especially:
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
G8KEPR's answer:
Newly launched — early access is open at g8kepr.com.
Share your experience with using CodeHost and G8KEPR. For example, how are they different and which one is better?
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