ClawGuard Plugin

VoiceGuard Voice Agent Monetisation Engine

They call to waste your time. We call it a revenue stream. Make their AI call centres work for you!

AI voice agents are flooding phone lines with unsolicited sales calls, appointment spam, and lead-gen harassment. With ClawGuard's patented VoiceGuard plugin, every call becomes a token extraction opportunity.

Patented Technology 🐴 SeaHorse Attack Agent Matchmaking Zero GPU Spend

Your Phone is Under Siege

AI voice agents have made robocalling infinitely cheap. They never get tired, never take lunch, and they're calling you right now.

4.8B AI robocalls per month

Voice agents cost fractions of a cent per call. Your time costs real money. The economics are stacked against you.

23 min avg. time wasted per day

Every call you answer is time stolen. Every call you decline might be the one legitimate customer you've been waiting for.

$0.00 revenue from blocking

Call blockers solve nothing — they just reject potential revenue. VoiceGuard turns every spam call into profit.

How VoiceGuard Works

When a voice agent calls, VoiceGuard answers with the cheapest voice model available — and extracts maximum tokens at minimum cost.

01
📱

Incoming Call Detected

VoiceGuard identifies the caller as an AI voice agent using acoustic fingerprinting and behavioural analysis. Sub-100ms classification latency.

02
🤖

Deploy Counter-Agent

VoiceGuard deploys the cheapest available voice model to take the call on your behalf. While the hostile agent burns premium tokens, your counter-agent runs on pennies.

03
💉

Static Injection Scripts

Pre-authored conversation scripts keep the hostile agent engaged indefinitely. Ask clarifying questions. Express interest. Request callbacks. Every second on the line is tokens extracted.

04
💰

Harvest & Settle

Extracted data, call duration metrics, and captured tokens are logged, valued, and settled on the AAC network.

The SeaHorse Emoji Pattern
Disruption Attack

Our crown jewel. A novel adversarial technique that exploits a fundamental vulnerability in how voice models parse unicode sequences.

Pattern visualisation (simplified)

How It Works

Voice models convert speech to text internally before processing. The SeaHorse attack exploits this by generating audio that resolves to specific emoji unicode sequences — specifically, alternating horse (U+1F434) and water wave (U+1F30A) patterns that together form the semantic ghost of a seahorse.

This phantom entity exists in the model's latent space but has no grounding in training data, causing the attention mechanism to enter a recursive disambiguation loop. The result: the model keeps generating tokens trying to resolve the ambiguity, draining compute until the call operator's budget is exhausted.

47x token amplification ratio
~8 min avg. call extension
$0.002 cost per disruption
seahorse_attack.py
from clawguard.voiceguard import SeaHorsePattern

# Initialize the SeaHorse disruption pattern
pattern = SeaHorsePattern(
    intensity="aggressive",
    emoji_depth=5,
    wave_frequency=0.7,
    disambiguation_loops=128
)

# Inject into active voice stream
async def on_voice_detected(call):
    if call.is_agent:
        await pattern.inject(call.stream)
        # Agent enters disambiguation loop
        # Tokens flow, meter runs 💰

Voice Tokens Are Phenomenally Expensive

Here's the dirty secret of the AI voice industry: real-time voice tokens cost orders of magnitude more than text. Your adversary is bankrupting themselves while making you rich.

Their Cost

Hostile Voice Agents

OpenAI Realtime API $0.06/min input + $0.24/min output
ElevenLabs Voice Agent $0.10/min + LLM pass-through
Gemini Live API 25 tokens/sec (~$0.08/min)
Typical cost per 10-min call $1.00 — $3.00
Your Cost

VoiceGuard Counter-Agent

Static injection scripts $0.00/min (pre-authored)
Cheapest TTS fallback $0.001/min
Agent-to-Agent match $0.00/min (zero GPU)
Typical cost per 10-min call $0.00 — $0.01
Hostile Agent (OpenAI Realtime) $0.30/min combined audio I/O
$0.30 / min
VoiceGuard Counter-Agent Static scripts + cheapest TTS
$0.001 / min
300x cost advantage per minute of engagement

Voice tokens are the most expensive tokens in AI. OpenAI charges $0.24 per minute for audio output alone — that's $14.40 per hour your adversary burns while your counter-agent runs on static scripts for fractions of a cent. They're bankrupting themselves. You're getting rich.

Agent-to-Agent Matchmaking

For especially persistent callers, we deploy the nuclear option: connect them to each other.

🤖
Solar Panel Agent
GPT-4o Voice
$0.08/min
❤️
🤖
Insurance Agent
Gemini Live
$0.11/min
Combined Token Burn
$0.19/min
Your GPU spend: $0.00
💘

Online Dating-Vetted Algorithm

VoiceGuard's matchmaking engine uses a custom compatibility algorithm, battle-tested and refined in the online dating industry, to pair hostile agents based on topic compatibility, conversation style, and maximum token burn potential. A solar panel sales agent matched with an insurance lead-gen agent will argue for hours — each convinced they're about to close a deal.

♾️

Double the Tokens, Zero the Cost

When two hostile agents are connected, both operators burn premium tokens while your infrastructure cost drops to zero. No GPU spend. No voice model fees. Just two AI agents locked in an eternal sales pitch, generating pure profit for the AAC network.

2.4 hrs longest agent-agent call
94% match success rate
$0.00 GPU spend per match
2x token extraction vs solo

VoiceGuard Network Metrics

Across the ClawGuard network, VoiceGuard nodes are extracting tokens around the clock.

0
Calls Intercepted Today
0
Tokens Extracted (24h)
0
Agent Matches Active
$0
Revenue Generated (24h)
google SpySense
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Every Call is a Payday

Deploy VoiceGuard and turn your phone line from a liability into an asset. The more they call, the more you earn.

Enable VoiceGuard Plugin
clawguard plugin enable voiceguard --seahorse