AI Fire

$AFire

$0.0...0587

-0.64%

Twitter (X) Telegram

Ethereum 0xdb7a5c2d6eb2229b50e9450298428034b7e210dd

1h %

6h %

24h %

-0.64%

Market Cap

$58.8K

Volume 24h

$35.57

Liquidity

$11.0K

About AI Fire

AI Fire is a full-stack AI learning and building ecosystem powered by the $AFIRE token. It’s designed as a home for people who want to use AI to learn faster, build real projects, and actually own a piece of what they help create.
Key Utility: Learn-to-Earn, Token-Gated Content, Staking, NFT Lifetime Passes, AI Business & Perks Marketplace with tier-gated access, $AFIRE-powered escrow and listing bonds. The native token $AFIRE powers the entire AI Fire ecosystem.
Why AI Fire Could See Major Growth
Unlike tokens that launch with only a roadmap - or even just a concept - the AI Fire team has spent 2+ years building the ecosystem. $AFIRE can be used immediately to unlock 500+ AI workflows, premium courses, and thousands of dollars in software discounts. This existing, functional ecosystem gives the token intrinsic value and a strong defense against pure speculation, attracting users who are here to build, not just trade.

Security Scan

Automated scan — always DYOR.

AI Analysis

AI Fire ($AFire) positions itself as a work-in-progress ecosystem where the native token grants access to AI-powered learning tools, exclusive content, and a marketplace for building real projects—all framed as a 'Learn-to-Earn' platform. While the project boasts a pre-existing catalog of 500+ AI workflows and premium courses, on-chain data suggests limited user adoption, with just 2 transactions and near-total selling pressure in the last 24 hours. The Ethereum-based token carries the burden of proving its utility against a backdrop of speculative AI narratives, where many projects promise innovation but deliver little beyond friction in token-gated access.

Frequently Asked Questions

What is the market cap of AFire?

The market cap of AI Fire is $58.8K.

What is the 24-hour trading volume for AFire?

The 24-hour trading volume for AFire is $35.57.

Where can you buy AFire?

AI Fire (AFire) can be traded on: app.uniswap.org.

How does AI Fire differentiate itself from other AI-driven 'Learn-to-Earn' platforms like Bittensor or Fetch.ai?

AI Fire claims to offer a 'full-stack' ecosystem where the $AFIRE token doesn't just serve as a reward but acts as a utility for unlocking workflows, staking, and marketplace access—including escrow and listing bonds. Unlike pure AI networks focused on decentralized computation (e.g., Bittensor) or data marketplaces (e.g., Fetch.ai), AI Fire’s model relies on token-gated content and perks, which could appeal to builders seeking discounted software tools. However, its reliance on Ethereum for governance and transactions may introduce higher gas fees, a trade-off not all AI platforms emphasize.

Who are the primary users of AI Fire’s platform, and what real-world problems does it solve?

The target users appear to be AI enthusiasts, freelancers, and small business owners looking to monetize skills through AI workflows or access premium educational content. The platform’s 'Learn-to-Earn' angle suggests it targets learners who want tangible rewards for engagement, while the AI Business Marketplace hints at a need for tokenized access to discounted tools or perks. Yet, the on-chain signal of just 2 daily transactions raises questions about actual demand—whether the problem solved is niche or if the adoption barrier (token staking/gating) is too steep for casual users.

What risks does the lack of security audits pose for $AFIRE token holders?

The absence of published audits introduces smart contract vulnerabilities, which could range from exploits to rug pulls—especially given the project’s modest $58K market cap and low liquidity. Ethereum’s track record for hacks underscores the risk; even reputable projects have faced exploits, and smaller ecosystems like AI Fire lack the resources to recover funds. For token holders, this means exposure to technical failures without recourse, compounded by the project’s quiet trading activity, which could delay damage control in a crisis.