Products
AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Oct 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Usage-based
No monthly subscription pricing
Creators
Oliver Kamola
No social account linked
Launched
7mo ago
2026-04-29 · Est.

Traffic

Last 12 months
Monthly visitsData through Oct 2026
Events2 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Uneed (#34)Launch

    Eterna MCP — Low cost perps execution layer for AI trading agents

    Aug 20 · 3mo agoLaunch page

  • Launched on Product HuntLaunch

    Low cost execution for AI trading agents

    Apr 29 · 7mo agoLaunch page

Open Source & Agent Ecosystem

GitHub · MCP / Skill
Last commit 2026-10-02
GitHub Stars
★ 2
Forks
—
License
See repository
Primary language
—

Traffic sources

Oct 2026

Traffic breakdown

Channels

No data yet

Countries

No data yet

Search

Domain authority —Domain registered 2022-03-06

No search keyword data for this website yet.

Traffic data: Vaneform

Pricing

Usage-based pricing; no fixed plans listed on website.

Trial: None · Observed 2026-11-07 · Source page

Pages & changes

Tracked since 2026-04-29

Key pages

Weekly snapshots
ai.eterna.exchange/ Snapshot 2026-11-08

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does Eterna MCP get?
Vaneform estimates <5K website visits in 2026-10. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is Eterna MCP and what platforms does it support?
Eterna MCP is catalogued under Crypto Wallets & Trading: Crypto exchange built for AI agents.. Supported platforms: MCP Server, CLI / SDK.
Is Eterna MCP open source?
Eterna MCP has a public repository (https://github.com/EternaHybridExchange/eterna-mcp) with its source repository published, recording 2 GitHub stars.Source

Related products in this category

Finance / Crypto Wallets & Trading

These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.