diff --git a/app.js b/app.js
index 0a757f9..7b4f12d 100644
--- a/app.js
+++ b/app.js
@@ -500,6 +500,66 @@ class AdaptiveCalibrator {
   }
 }
 
+
+// ═══ NOSTR AGENT REGISTRATION ═══
+class NostrAgent {
+  constructor(pubkey) {
+    this.pubkey = pubkey;
+    this.relays = ['wss://relay.damus.io', 'wss://nos.lol'];
+  }
+
+  async announce(metadata) {
+    console.log(`[NOSTR] Announcing agent ${this.pubkey}...`);
+    const event = {
+      kind: 0,
+      pubkey: this.pubkey,
+      created_at: Math.floor(Date.now() / 1000),
+      tags: [],
+      content: JSON.stringify(metadata),
+      id: 'mock_id',
+      sig: 'mock_sig'
+    };
+    
+    this.relays.forEach(url => {
+      console.log(`[NOSTR] Publishing to ${url}: `, event);
+    });
+    
+    const container = document.getElementById('nostr-log-content');
+    if (container) {
+      const div = document.createElement('div');
+      div.className = 'nostr-entry';
+      div.innerHTML = `<span class="nostr-pubkey">[${this.pubkey.substring(0,8)}...]</span> <span class="nostr-status">ANNOUNCED</span>`;
+      container.prepend(div);
+    }
+  }
+}
+
+// ═══ L402 CLIENT LOGIC ═══
+class L402Client {
+  async fetchWithL402(url) {
+    console.log(`[L402] Fetching ${url}...`);
+    const response = await fetch(url);
+    
+    if (response.status === 402) {
+      const authHeader = response.headers.get('WWW-Authenticate');
+      console.log(`[L402] Challenge received: ${authHeader}`);
+      
+      const container = document.getElementById('l402-log-content');
+      if (container) {
+        const div = document.createElement('div');
+        div.className = 'l402-entry';
+        div.innerHTML = `<span class="l402-status">CHALLENGE</span> <span class="l402-msg">Payment Required</span>`;
+        container.prepend(div);
+      }
+      return { status: 402, challenge: authHeader };
+    }
+    
+    return response.json();
+  }
+}
+
+let nostrAgent, l402Client;
+
 let metaLayer, neuroBridge, cbr, symbolicPlanner, knowledgeGraph, blackboard, symbolicEngine, calibrator;
 let agentFSMs = {};
 
@@ -511,6 +571,9 @@ function setupGOFAI() {
   cbr = new CaseBasedReasoner();
   neuroBridge = new NeuroSymbolicBridge(symbolicEngine, blackboard);
   metaLayer = new MetaReasoningLayer(symbolicPlanner, blackboard);
+  nostrAgent = new NostrAgent("npub1...");
+  l402Client = new L402Client();
+  nostrAgent.announce({ name: "Timmy Nexus Agent", capabilities: ["GOFAI", "L402"] });
   calibrator = new AdaptiveCalibrator('nexus-v1', { base_rate: 0.05 });
 
   // Setup initial facts
@@ -538,6 +601,7 @@ function updateGOFAI(delta, elapsed) {
     
     // Simulate calibration update
     calibrator.update({ input_tokens: 100, complexity_score: 0.5 }, 0.06);
+    if (Math.random() > 0.95) l402Client.fetchWithL402("http://localhost:8080/api/cost-estimate");
   }
   
   metaLayer.track(startTime);