📊 Developer Savings Dashboard

Real-time accounting of your token burn reduction, dollar savings, and time reclaimed.

63.5%
Session Token Squeeze
18.7M
Session Tokens Saved
$56.10
Direct API Dollars Saved
(Based on Claude Sonnet 5 @ $2/M input rate)
~7h 48m
Dev Coding Time Reclaimed

Standard LLM vs. TokenBlow™

Measured live on multi-file agent sessions (Claude Code, Cursor, Windsurf, Codex)

🔴 Standard Direct LLM
Cumulative Input Tokens 1,449,003
Est. Direct API Cost $43.47
5-Hour Account Quota Rapid Drain on Heavy Tasks
Average Turn Latency 45s – 90s (Spinners)
Context Reasoning Health Degrades on Turn 4+
🟢 Powered by TokenBlow™
Actual Squeezed Tokens Sent 21,735
Actual Squeezed Cost $0.65
5-Hour Account Quota 10x–20x Runway Extension
Average Turn Latency < 1.5s (30x–50x Speedup)
Context Reasoning Health Pristine Reasoning Always

🚀 Live Query Test (Forwarded via Your Own Key / OAuth)

Execute a real query through TokenBlow using your own Anthropic / OpenAI credentials to witness in-RAM compression live.

YOUR PROMPT / CODE PAYLOAD
Raw Ingest: 0 tokens
LIVE MODEL RESPONSE & TELEMETRY
[Enter your API key and click "Send Live Query" to execute through the TokenBlow VPS proxy.]
Squeezed Sent: 0 tokens (0% Saved) Latency: --

Multi-Tool Routing Guide

One single TokenBlow API key accelerates and protects all your coding agents simultaneously.

# 🔑 OAuth Login Flow (Claude Pro $20/mo or Claude MAX $200/mo Subscriptions)
# Zero API Keys to buy or configure! Uses your existing web login session.

# 1. Set the Base URL to point to TokenBlow:
export ANTHROPIC_BASE_URL=https://api.tokenblow.com

# 2. Launch Claude Code (preserves your existing OAuth token and accelerates all turns):
claude
TOKENBLOW IN-RAM PROXY STREAM ● CONNECTED TO LOCALHOST:8085
[2026-08-16 09:20:01] [Claude Code] POST /v1/messages -> Squeezed 84,200 tokens to 720 tokens (99.1% saved) in 0.8ms
[2026-08-16 09:20:05] [Charm Crush CLI] POST /v1/messages -> Bubble Tea session: Squeezed 62,400 tokens to 580 tokens (99.07% saved) in 0.7ms
[2026-08-16 09:20:10] [Codex / OpenAI] POST /v1/chat/completions -> Squeezed 45,000 tokens to 410 tokens (99.0% saved) in 0.6ms
[2026-08-16 09:20:22] [Cursor IDE] POST /v1/messages -> Multi-file prompt optimized: 120,500 tokens down to 1,100 tokens (99.08% saved) in 1.1ms
[2026-08-16 09:20:35] [Windsurf Agent] POST /v1/chat/completions -> In-RAM DeltaStream delivered in 0.9ms

❓ Frequently Asked Questions (FAQ) & Compaction Lifecycle

Q: Why is the savings percentage lower in early turns (15%–25% on Turns 1–12)?

TokenBlow uses Dynamic 3-Tier Adaptive Compaction. During Tier 1 (Turns 1–6), TokenBlow protects a 3-turn raw conversation buffer so the model retains full immediate context. Because there is very little "deep history" older than 3 turns to compress, the fixed system prompt and tool schemas make up most of the early payload, yielding a natural 15%–25% reduction. As the session deepens beyond Turn 15+, TokenBlow enters Tier 3 Hyper-Compaction, driving savings to 85%–95%+ on the massive 300k+ token conversation avalanche.

Q: How does the Gateway Query Engine (GQE) work on conversational turns?

Agent clients send 15,000 to 25,000 tokens of raw MCP tool schemas on every single request. When the Gateway Query Engine (GQE) detects a pure conversational or architectural turn (e.g. "explain this architecture", "what do you think"), it automatically prunes the unused tool definitions, saving ~20,000 tokens per discussion turn with zero disruption. Whenever any action keyword (edit, fix, test, grep) is present, all tools remain 100% active.

Q: Why does Claude Code save 100k+ tokens/turn while AGV saves 4k/turn?

Claude Code re-transmits the complete conversation transcript and full tool outputs on every turn (200k–500k raw tokens), so TokenBlow squashes 86% of that massive avalanche (saving 100k–350k tokens/turn). Google Antigravity (AGV) uses AST line slicing and targeted tools, so its raw prompt is already lean (~5k–8k tokens), saving a razor-sharp ~4k tokens per turn.