🧠 Azrion Pulse Interface
Your full-spectrum behavioral scan module
The Azrion Pulse engine runs a comprehensive multi-layer analysis on any Solana token — surfacing liquidity integrity, holder structure, permission risks, and behavioral anomalies. Each scan produces a Clarity Index and optionally, a Deep Signal Scan for tokens with suspicious or complex dynamics.

🔍 Core Scan Metrics
Clarity Index An overall score (0–100) based on structural transparency, access permissions, and auditability.
🧬 Component Breakdown:
Aura Trace ▸ Tracks metadata origin & audit path ▸ Example: Obscured / Not Found
Permission Scope ▸ Checks mint/freeze/ownership permissions ▸ Example: Safe / Found
Token Resonance ▸ Real-time market cap & behavioral score ▸ Example: $70.21K | Score: 7/100
Flow Restriction ▸ Assesses sellability & risk flags ▸ Example: Sell Risk 98%
Liquidity Seal ▸ Determines LP status and lock conditions ▸ Example: 100% Locked
Pulse Indicators ▸ Activity intensity + pattern signature ▸ Example: Medium Activity | 84% Pattern Match
👁️ Additional Intelligence Panels
Holder Analysis ▸ Top 10 wallets hold 38.5% — flagged as potential centralization
Creator & Insiders ▸ 0 insider tokens or networks found
Market Pulse ▸ Market Cap: $297.43K ▸ 24h Volume: N/A (in low-cap or stealth phase)
Token Info ▸ Age: Today ▸ Jupiter Verification: No

🧠 Deep Signal Scan
Azrion’s narrative verdict layer
Each suspicious token may trigger a Deep Signal Scan — a forensic-style writeup generated by AI that interprets underlying risk and behavioral patterns using natural language.
Example Output:
Azrion Deep Signal Scan: SHITCOIN SEASON (SHITCOIN)
🧬 Forensic Trace: In the shadowy corridors of the blockchain, SHITCOIN SEASON manifests with a volatile surge... ...the token reveals a tightly clenched structure: 38.49% of its supply is held by the top 10 holders... Despite these ominous signs... the significant risk posed by its top holders carves deep into its trust layers.
Azrion Pulse doesn’t just analyze data — it interprets intent, detects deception, and turns signals into narratives.
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