AI agents are transacting on-chain — executing trades, managing portfolios, paying for services, and borrowing capital. The VIZI® Agent Score rates autonomous wallets on a 300–850 scale so protocols, lenders, and platforms can decide how much to trust them.
Billions of dollars will flow through autonomous AI agents in the next 24 months. These agents will borrow, lend, pay, and trade without human intervention. But today, no protocol can distinguish a well-managed agent from a reckless one. The Agent Score fixes that.
AI agents execute thousands of on-chain transactions per day — yield farming, rebalancing portfolios, paying for compute, and settling service fees. Each transaction leaves a verifiable trail. The Agent Score reads that trail and converts it into a single creditworthiness number.
Traditional credit scoring requires a name, SSN, and address. AI agents have none of these. They have wallet addresses and transaction histories. The Agent Score is built for entities that exist only on-chain — no identity required, no FCRA implications, pure behavioral scoring.
When an AI agent requests a flash loan, deposits collateral, or bids on a service contract, the counterparty protocol needs an instant trust signal. The Agent Score provides that signal in under 100ms — no human review, no manual override, fully automated trust.
The Agent Score analyzes six dimensions of autonomous wallet behavior. Each factor is calibrated specifically for non-human transaction patterns — high frequency, narrow operational scope, and deterministic decision-making.
Measures whether the agent's on-chain behavior follows predictable, programmatic patterns. Agents that execute consistent strategies — regular rebalancing, systematic yield harvesting, scheduled payments — score higher than those with erratic, unpredictable activity. Sudden deviations from established patterns trigger score reductions.
Evaluates how the agent manages its capital: reserve ratios, drawdown patterns, gas efficiency, and slippage tolerance. An agent that maintains healthy reserves, avoids excessive gas spending, and minimizes slippage on large trades demonstrates superior fund management and scores higher.
Analyzes the agent's interaction patterns with DeFi protocols: which protocols it uses, how it manages collateral, whether it repays obligations on time, and its exposure to exploited or high-risk contracts. Agents that interact with audited, high-TVL protocols and maintain healthy positions score highest.
Measures the agent's operational reliability over time. Does it execute scheduled transactions on time? Does it respond to market conditions within expected latency windows? Agents with 99%+ operational uptime and consistent execution timing receive a reliability premium.
Evaluates whether the agent has built-in risk controls: position size limits, stop-loss triggers, maximum leverage constraints, and diversification across protocols. Agents that demonstrate programmatic risk management — never exceeding predefined thresholds — earn the highest factor scores.
Maps the agent's counterparty graph to evaluate the quality of entities it transacts with. Agents that interact primarily with high-scored wallets, audited protocols, and reputable liquidity pools demonstrate lower risk than those operating in unvetted, low-quality environments.
Before scoring an agent, the VIZI system verifies that the wallet address belongs to an autonomous agent rather than a human-operated wallet. This distinction matters because agent-specific scoring factors differ fundamentally from individual wallet scoring.
VIZI analyzes the deployed smart contract bytecode to identify agent patterns: automated execution logic, external oracle dependencies, and programmatic decision trees. This analysis distinguishes true autonomous agents from simple multisig wallets or human-operated contracts.
Even when bytecode analysis is inconclusive, VIZI's behavioral fingerprinting system identifies agent wallets by their transaction patterns: sub-second execution timing, deterministic gas pricing, and systematic interaction sequences that are statistically impossible for human operators to produce.
When possible, the Agent Score links autonomous wallets back to their deploying addresses, enabling operator-level risk aggregation. If an operator deploys multiple agents, the collective behavior of all agents influences each individual agent's score — because bad operators build bad agents.
Any protocol or platform that interacts with autonomous wallets can use the Agent Score to automate trust decisions, set risk parameters, and allocate resources based on verified on-chain behavior.
Set collateral requirements dynamically based on the borrowing agent's score. A high-scored agent with 12 months of perfect repayment history can qualify for lower collateral ratios. A new agent with no track record requires overcollateralization. The Agent Score enables this tiering automatically.
Platforms that deploy and manage AI agents use the Agent Score to monitor operational quality. Score each agent in your fleet continuously. Route high-value tasks to high-scored agents. Automatically quarantine agents whose scores drop below threshold.
When AI agents bid for on-chain service contracts — compute, data, inference — the Agent Score helps service providers select reliable counterparties. Higher-scored agents get priority access and better pricing. Lower-scored agents pay upfront or provide escrow.
The autonomous economy is not a prediction — it is already happening. AI agents control billions in on-chain assets today. The Agent Score is the trust layer that enables this economy to scale safely.
In the near future, AI agents will extend credit to each other based on VIZI Agent Scores. A high-scored trading agent could borrow from a high-scored lending agent with no human intermediary — fully automated, fully on-chain, fully scored. This is the future of autonomous finance.
The Agent Score is designed to be embedded in smart contracts as a composable trust primitive. DeFi protocols can read an agent's score on-chain and adjust parameters automatically — collateral ratios, fee tiers, access permissions — without any off-chain API calls or oracle dependencies.
As AI agents operate across multiple blockchains, the Agent Score aggregates behavior from every chain into a single, unified creditworthiness rating. An agent's reputation follows it everywhere it transacts — Ethereum, Solana, Arbitrum, Base, and beyond.
The autonomous economy needs trust infrastructure. The VIZI® Agent Score provides it. Integrate via API or use VIZIScan to look up any autonomous wallet.
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