AgentFun.AI

Liquidity and market dynamics score 16 out of 100. On-chain activity appears extremely thin, with a volume-to-market-cap relationship of 0.00% and a very low liquidity profile flagged by “very low liquidity” and “near zero volume.” Liquidity depth is listed as 0, while the last 24h volume is about $514. Exchange listing data shows presence on 3 exchanges, with results mixed (1 green, 1 yellow, 1 red), which may affect exit options and price stability.

Team credibility score 25 out of 100. The project has no deploy or genesis date available, and there is no audit data in public records. The team is flagged as anonymous, which lowers confidence in accountability and reduces the ability to verify track record or development history.

Social and behavioral signals score 68 out of 100. Social audience data is present but limited, showing 25 for both Twitter and Telegram (linked). Agent-specific risk signals are clean in the provided snapshot: 0 allegations, 0 bad press, 0 regulatory, and 0 incidents, which is a positive datapoint. However, there is no social analytics feed snapshot available and no enrichment record, so broader validation is constrained.

Contract mechanics and verification score 5 out of 100. There is no contract security scan available and no verification or block-explorer data provided, leaving core safety checks unavailable (including contract verification and ownership data). The supply structure shows a hard cap of 100,000,000 and 100% of total supply circulating, but the overall low score is driven by missing contract-level safety and transparency information.

Inherent crypto risk note (AgentFun.AI). This asset’s low safety score is primarily tied to limited market liquidity and missing contract verification/security information. For smart-contract tokens, that combination increases risks around sudden price volatility, difficult exits, and uncertainty about how reliably the contract and token controls behave without public security and verification evidence.