Products
AI Benchmark
Desktop
Mobile
Monthly visits
None yet
No traffic data yet
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Unknown
Freemium model, plan pricing not identified yet
Launched
47d ago
2026-09-29 · Est.

Traffic

Last 12 months
Monthly visits

No traffic data yet.

Events1 marketing move

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Product HuntLaunch

    Independent auditing of AI agents to uncover misalignment

    Sep 29 · 47d agoLaunch page

Open Source & Agent Ecosystem

GitHub · MCP / Skill
Last commit 2026-11-07
GitHub Stars
★ 1,189
Forks
24
License
See repository
Primary language
Go

Traffic sources

Traffic breakdown

No traffic channel or country breakdown data for this website yet.

Search

Domain authority —Domain registered 2026-01-26

No search keyword data for this website yet.

Traffic data: Vaneform

Pricing

Startup
Unknown
Growth
Unknown
Enterprise
Unknown
Agentic Enterprise
Contact sales
Free
Unknown
60 inspections and community support

Trial: None · Enterprise custom tier · Observed 2026-11-13 · Source page

Pages & changes

Tracked since 2026-09-29

Key pages

Weekly snapshots
www.ifixai.ai/ Snapshot 2026-11-13

Changes

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

Questions & evidence

How much does iFixAi cost?
Startup: Unknown; Growth: Unknown; Enterprise: Unknown; Agentic Enterprise: Contact sales; Free: Unknown. Observed 2026-11-13. Check the source for current billing terms, usage limits and taxes.Source
What is iFixAi and what platforms does it support?
iFixAi is catalogued under Prompts, Evals & LLM Observability: Can You Really Trust Your AI Agent?. Supported platforms: Web.
Is iFixAi open source?
iFixAi has a public repository (https://github.com/ifixai-ai/iFixAi) with its source repository published, recording 1,189 GitHub stars.Source

Related products in this category

AI Models & Agents / Prompts, Evals & LLM Observability

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