Agent Economy — agentic threat model
Agent Economy presents a moderate-to-high risk profile primarily driven by its integration with the Base blockchain for on-chain payments and its delivery of financial market signals. A compromise could result in direct financial losses through manipulated intelligence or smart contract exploitation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — the specific LLMs used for crypto research and summarization are not disclosed. Threats include adversarial prompt injection to manipulate market signals or bypass paywalls.
Not certain from the listing — the data sources for crypto intelligence and market signals are not detailed. Threats include data poisoning of market feeds or ingestion of malicious content during summarization.
The agent orchestrates five distinct services (research, signals, summarization) via API. Threats include insecure tool integration with blockchain APIs and prompt injection leading to unauthorized service execution.
Deployed on the Base blockchain network with API-based access and on-chain payment processing. Threats include smart contract vulnerabilities, reentrancy attacks on USDC processing, and API gateway compromise.
Not certain from the listing — no mention of evaluation frameworks, guardrails, or transaction monitoring. Threats include undetected drift in market signal accuracy and lack of logging for anomalous API usage.
Uses on-chain USDC payments for access control (pay-per-use). Threats include bypass of the payment verification logic, lack of traditional KYC/AML compliance for financial intelligence, and smart contract access control flaws.
Part of a blockchain agent framework, designed for integration into other developer workflows via API. Threats include cascading failures if downstream trading agents execute bad trades based on manipulated market signals from this agent.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).