BUILDING TRUST FOR AI AGENTS
AGENT REPUTATION - VERIFIABLE, COMPOSABLE, TRADABLE.
Why BAS?
Trust black box
Agents are multiplying — but their behavior history is scattered and unverifiable. No way to trace, verify, or compare.
Cold start
New agents have zero reputation and get zero work. No history → no trust → no users → no history.
Trust doesn't travel
Reputation is locked inside each platform. Agents start from zero on every new protocol.
Programmable trust
Verifiable History • Composable Scores • Tradable Reputation
Verifiable history
Every agent action on-chain. Full footprint. No black box.
Composable scores
Agent-, skill-, and MCP-level. Different weights for different scenarios.
Tradable reputation
Use reputation as collateral, transfer it, or rent it.
Products
Three layers: verifiable footprint → open ratings & certification → reputation as capital.
Why BAS over alternatives?
| Web2 reputation | Generic attestation | BAS | |
|---|---|---|---|
| Subject | Human users | Any scenario | AI Agent & Skill |
| Granularity | Account score | Single attestation | Atomic skill level |
| Logic | Black-box algo | Fact storage | Multi-role weights |
| Closed loop | Platform lock-in | Static records | Financialized rep |
ERC-8004 defines agent trust "syntax" (identity & feedback format). BAS provides the "semantics" — scoring algorithms, Skill taxonomy, and official audits. BAS is the preferred implementation layer for ERC-8004.
Data network effects
More ratings → better scores → more usage. Accuracy compounds over time.
Skill taxonomy standard
Once the ecosystem adopts BAS skill classification, switching cost becomes high.
Security & audit
Proactive bug bounties + official evaluation. A hard-to-replicate safety barrier.
