AGENT
AGENT
Evaluation Score
Overall rating on a scale of 0-10
Dimension Breakdown
AI Analysis
Comprehensive evaluation of the token
The evaluation for AGENT (talos) is heavily constrained by severe data gaps across five of the six analytical dimensions: Active Development, Community Support, Tokenomics, Team and Governance, and Security and Audit History all received scores of -1.0 due to unresolvable keyword collisions and lack of identifiable token coverage in retrieved sources. The only substantively scored section, Market and Use Case (1.5/10), reflects extremely poor fundamentals, including negligible 24-hour trading volume (~$208), a micro market cap (~$69,527), a -99.9% drawdown from all-time highs, and intense competition in an oversaturated AI agent sector without documented differentiation. With 100% of the effective score weight allocated to the single measurable section per data-gap handling rules, the overall score is 1.5/10.
Development Activity
Code updates and developer engagement
Community Support
Social media presence and community engagement
Tokenomics
Supply, distribution, and utility
Market & Use Case
Value proposition and competitive landscape
Team & Governance
Team background and project governance
Security & Audits
Security history and audit status
About AGENT (AGENT)
AGENT is a cryptocurrency asset operating within the artificial intelligence agent sector, with reported contract deployments across Cardano, Base, and Solana. The token is categorized among AI-agent projects, though detailed information regarding its core mechanism, technical architecture, and development activity remains unverified in available records.
The project has experienced a severe market decline, registering a -99.9% drawdown from its all-time high price of $0.10. It exhibits extremely low liquidity and market engagement, maintaining a market capitalization of approximately $69,527, a fully diluted valuation of around $89,812, and 24-hour trading volumes of roughly $208.
AGENT faces substantial transparency risks due to complete data gaps across active development, tokenomics, team disclosure, governance structures, and security audits. Furthermore, the token competes in a crowded AI-agent niche dominated by larger protocols, lacking documented product differentiation or measurable ecosystem adoption.