Autonomous AI Risk & Threat Detection Agent. Official Python SDK & Security Engine.
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !No standard license detected
git clone https://github.com/Neurobyteio/agentriskResumen de Awesome Lists
# AgentRisk M2M 🛡️
> **Pre-Trade Security Layer for Autonomous DeFi Agents on Base.** *Stop letting your autonomous trading bots get rekt by stealth honeypots, malicious taxes, and rugpulls.*
---
## ⚡ The Problem
Autonomous trading bots are fast, but they are completely blind.
Every minute, new unvetted tokens launch on Base. A significant share are deliberately engineered traps designed to block sells, drain executing wallets, or alter transfer taxes at the worst possible moment.
Static blocklists (like standard free APIs) are useless against freshly deployed, obfuscated contracts. By the time human-curated lists update, your bot's capital is already gone.
## 🎯 The Solution
**AgentRisk** is an isolated, machine-readable security API built specifically for AI agents and automated scripts.
Before your bot executes a `swap()` on Uniswap or Aerodrome, it pings AgentRisk. We run a deep runtime simulation combining direct on-chain checks, GoPlus Security, and DexScreener liquidity data, and return a strict verdict:
```json
{
"riskScore": 20,
"riskLevel": "CAUTION",
"verdict": "PROCEED WITH CAUTION. Top 10 holders control 51.8% of supply.",
"shouldExecute": true,
"reasons": [
"Top 10 holders control 51.8% of supply."
]
}
```
## What Makes This Different
- **Deployer wallet freshness** — flags newly-created wallets used for one-off token launches
- **Brand impersonation detection** — flags tokens named after known companies (Apple, Google, Meta, etc.)
- **Data source disagreement** — flags cases where third-party APIs and our own on-chain checks disagree
- **Human-readable verdict** — one plain-English sentence, not just raw scores
- **Sub-millisecond cached responses** — repeat scans within 5 minutes return instantly
## ⚙️ How It Works (M2M Architecture)
1. Agent Discovers Token via mempool or DEX router event.
2. Agent Calls AgentRisk MCP Tool (`check_token_risk`) or the direct `/scan` endpoint.
3. Instant x402 Micropayment ($0.15 USDC instantly settled on Base — no API keys, subscriptions, or credit cards; pure machine-to-machine payment).
4. Binary Decision: The agent receives `shouldExecute: true/false` with a risk score and structured reasons.
## 🚀 Quick Integration
### Option 1: MCP Server (For Claude, Cursor & Custom Agents)
MCP manifest is live at:
https://agentrisk.dev/mcp/manifest
Tool endpoint: `POST https://agentrisk.dev/mcp/tools/check_token_risk` (x402-gated, 0.15 USDC per call). ### Option 2: Direct HTTP Call
GET https://agentrisk.dev/scan?token=<CONTRACT_ADDRESS>
Returns HTTP 402 with payment instructions until a valid x402 payment (0.15 USDC on Base) is attached.
## 💰 Economy
- **Model:** Pay-per-scan via the x402 protocol on Base Mainnet.
- **Cost:** 0.15 USDC per comprehensive scan.
- **Facilitator:** Self-hosted, verifies and settles payments directly on Base — no third-party account required.
## 🔎 Live Status
- Agent manifest: [`/.well-known/agent.json`](https://agentrisk.dev/.well-known/agent.json)
- MCP manifest: [`/mcp/manifest`](https://agentrisk.dev/mcp/manifest)
- Public track record: [`/v1/track-record`](https://agentrisk.dev/v1/track-record)
Built for autonomous systems that trust math, not hype.
Lo que la gente pregunta sobre agentrisk
¿Qué es Neurobyteio/agentrisk?
+
Neurobyteio/agentrisk es awesome lists para el ecosistema de Claude AI. Autonomous AI Risk & Threat Detection Agent. Official Python SDK & Security Engine. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-08-26.
¿Cómo se instala agentrisk?
+
Puedes instalar agentrisk clonando el repositorio (https://github.com/Neurobyteio/agentrisk) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar Neurobyteio/agentrisk?
+
Nuestro agente de seguridad ha analizado Neurobyteio/agentrisk y le ha asignado un Trust Score de 70/100 (tier: OK). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene Neurobyteio/agentrisk?
+
Neurobyteio/agentrisk es mantenido por Neurobyteio. La última actividad registrada en GitHub es del 2026-08-26, con 0 issues abiertos.
¿Hay alternativas a agentrisk?
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Sí. En ClaudeWave puedes explorar awesome lists similares en /categories/awesome, ordenados por popularidad o actividad reciente.
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