What is Trusta.AI (TA)?

By CMC AI
04 December 2025 04:13AM (UTC+0)

TLDR

Trusta.AI (TA) is a decentralized identity protocol combining AI and blockchain to verify humans and AI agents in Web3, creating a trust layer for secure digital interactions.

  1. Identity Infrastructure – Provides on-chain attestations and reputation scoring for Web3 users and AI agents

  2. Anti-Sybil Tools – Detects fake accounts via behavior fingerprinting (TrustScan) and wallet analysis (TrustGo)

  3. Omnichain Token – Uses LayerZero’s OFT standard for cross-chain compatibility with fixed 1B supply

Deep Dive

1. Trust Infrastructure for AI + Web3

Trusta.AI addresses identity spoofing and trust gaps in decentralized ecosystems. Its MEDIA Score evaluates wallets based on Monetary activity, Engagement, Diversity, Identity attestations, and wallet Age, creating a reputation framework adopted by platforms like Binance (BAB token) and Gitcoin Passport. For AI agents, it offers Proof-of-Humanity and Proof-of-AI-Agent services to distinguish bots from legitimate actors.

2. Modular Verification Framework

The protocol operates through three layers:
- Attestation Layer: Issues tamper-proof credentials (3M+ issued) across EVM chains and TON
- Agent Network: AI-powered verification nodes analyze on-chain behavior and social signals
- SIGMA Scoring: Rates AI agents across Specialization, Influence, Engagement, Monetary activity, and Adoption

3. Token Mechanics

$TA serves as:
- Staking collateral for attestation validators
- Payment for reputation data/API access
- Governance for protocol upgrades
Built on LayerZero’s OFT standard, it enables seamless cross-chain transfers without inflation (Trusta Labs).

Conclusion

Trusta.AI positions itself as critical infrastructure for authenticating both human and AI-driven activity in decentralized ecosystems, backed by partnerships with Solana, Arbitrum, and Binance. Its success hinges on adoption of its reputation metrics – could MEDIA and SIGMA scores become the “FICO scores” of Web3?

CMC AI can make mistakes. Not financial advice.