AegisAI
Protect Yourself from On-Chain Risks
Zero-knowledge risk intelligence for Web3 traders, funds, and DeFi protocols. Real-time anomaly detection, on-chain behavior analytics, and AI-powered scam scouting.
Core Capabilities
End-to-end AI risk infrastructure for wallets, tokens, and on-chain strategies.
On-chain Monitoring
Continuous monitoring of wallets, contracts, and clusters for abnormal behavior and risk events.
AI Risk Scoring
AI-driven risk scores (0–100) combining liquidity, ownership, holder distribution, and contract safety.
Custom Alerts
Trigger alerts to Telegram, X, or webhooks when risk metrics or behaviors cross critical thresholds.
Liquidity Intelligence
Detect LP locks, burns, unlock windows, and potential liquidity rugs across EVM and non-EVM chains.
Ownership & Control Mapping
Map owner roles, mint authority, admin privileges, and upgradeability to surface governance risk.
Behavior Graph Analytics
Cluster wallets, trace flows, and match emerging patterns against historical rug and scam signatures.
AI Risk Scanner
Enter token contract — AegisAI simulates AI-driven
on-chain analysis and produces a final risk verdict.
Idle – waiting for input…
AI Risk Score
–
Awaiting Scan
Liquidity Status
–
Ownership
–
Holder Distribution
–
Contract Safety
–
Age & Activity
–
Similar Scam Patterns
–
AI Verdict Summary
Run the analysis to get an AI summary of the asset.
Recommended Action
–
Launch the scanner to see the AI report on the token.
Agent Example: Memecoin Risk Analyzer
Here’s a minimal AegisAI-powered Python agent that scores a memecoin and returns an AI risk verdict.
memecoin_agent_aegis.py
from fastapi import FastAPI
from pydantic import BaseModel
from typing import Optional
from aegis_core import AegisAI
aegis = AegisAI()
# ======== MODELS ========
class MemecoinRequest(BaseModel):
chain: str
address: str
class MemecoinResponse(BaseModel):
symbol: str
chain: str
address: str
risk_score: int
bucket: str
liquidity: Optional[str]
ownership: Optional[str]
holders: Optional[str]
contract_safety: Optional[str]
age_activity: Optional[str]
scam_similarity: Optional[str]
verdict: str
# ======== FASTAPI APP ========
app = FastAPI(title="AegisAI Memecoin Analyzer API")
@app.post("/analyze", response_model=MemecoinResponse)
def analyze_memecoin(req: MemecoinRequest) -> MemecoinResponse:
"""
Pass-through endpoint that directly calls the internal AegisAI engine.
"""
return MemecoinResponse(
symbol=result["symbol"],
chain=result["chain"],
address=result["address"],
risk_score=result["risk_score"],
bucket=result["bucket"],
liquidity=result.get("liquidity"),
ownership=result.get("ownership"),
holders=result.get("holders"),
contract_safety=result.get("contract_safety"),
age_activity=result.get("age_activity"),
scam_similarity=result.get("scam_similarity"),
verdict=result["verdict"],
)
Launching Soon: AegisAI Integration Layer
We’re building the ultimate risk integration layer for Web3 – from public scanners to pro dashboards and SDKs.
Current build progress
63%
Phase 1
Public Web Scanner for wallets & tokens.
Phase 2
REST API & SDKs for builders.
Phase 3
Telegram / Discord bots & alerts.
Phase 4
Pro dashboards, teams & advanced analytics.
FAQ
Everything you need to know about AegisAI risk analysis.
Currently we focus on Solana Network.
Additional networks can be added based on demand.
We combine liquidity conditions, ownership and mint authority, holder distribution, contract safety checks,
deployment age, behavioral patterns, and similarity to known rug / scam clusters.
No. AegisAI provides risk intelligence and analytics, not investment or trading advice. All scores are informational
and should be combined with your own research and risk management.
For actively traded assets, core metrics can be refreshed in near real-time. Less active contracts may be updated
on a slower schedule to optimize on-chain indexing and compute.
Yes. The Integration Layer will expose REST endpoints and SDKs so you can embed risk scores, verdicts, and alerts
directly into your product, trading tools, or internal dashboards.
Scores are based on a combination of deterministic checks and AI models trained on historical scam and non-scam data.
They are designed to highlight structural and behavioral risk, not to predict price movements.
Connect with AegisAI
Stay in touch with us
Get updates on new features, integrations, and risk intelligence drops.
Built for the Solana ecosystem — real-time risk intelligence, zero noise.