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0token

Real-time insight, proof, and sharing layer for LLM token savings. Compresses 50K tokens down to 12K tokens โ€” same answers, fraction of the cost.

0%
avg reduction
$0.00
saved
0
requests
4
MCP tools
pip install 0token
waiting for proxy...
What 0token does
๐Ÿ”ฅ
Token Flamegraph
See exactly where tokens go โ€” per request, per model, before vs after compression
๐Ÿ’ฐ
Live $ Meter
Real-time animated counter showing dollars saved as your agent works
๐Ÿงพ
Receipt Cards
Shareable SVG cards โ€” download, copy, post on X
๐Ÿ”Œ
MCP Server
4 tools for any MCP-compatible agent โ€” stats, recent, flamegraph, receipt
๐Ÿ“Š
Leaderboard
Cross-tool efficiency comparison โ€” $/task at held quality
โšก
Zero Config
Works with Claude Code, Cursor, Codex, any OpenAI-compatible client
How it works
Steps
1
Install: pip install 0token
2
Start: python -m zt.cli start
3
Use your agent normally โ€” 0token compresses in background
4
Watch savings on this dashboard
Quick Setup
โ–ธ Claude Code:
set ANTHROPIC_BASE_URL=http://127.0.0.1:8787 && claude
โ–ธ Cursor / OpenAI:
set OPENAI_BASE_URL=http://127.0.0.1:8787/v1
Proof โ€” real numbers
WorkloadBeforeAfterSavingsCost
20 mixed requests430,000121,50071.7%$1.175
gpt-4o (10 reqs)229,90061,80073.1%$0.575
claude-sonnet-4 (10 reqs)200,10059,70070.2%$0.600