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6551
The Full-Stack AI Trading Closed-Loop
The future of trading doesn't need traders — it needs infrastructure.
Agent-Native Media
Ultra-Precise User Profiling
Skills Ecosystem
Open Developer Community
OpenTrade
Risk Control & Trade Harness
Seed Round · Raising $2-3M · Q2 2026
02
The Opportunity

The Age of AI Agents

85% of enterprises already use AI agents. Microsoft predicts 1.3 billion agents by 2028. The AI agent market is growing at 50% CAGR — every agent needs infrastructure.

$183B
AI Agent Market by 2033
50% CAGR from $8B today
1.3B
AI Agents by 2028
Microsoft projection
85%
Enterprise Adoption
Already using AI agents

The question isn't whether agents will trade — they already do. The question is who builds the infrastructure they all depend on.

03
The Gap

Every Agent Needs Three Things

Agents trade 10x more than humans — but they can't trade in a vacuum. They need infrastructure that doesn't exist yet.

1. Know the User
Profiling
  • What does the user hold?
  • What do they care about?
  • How do they trade?
Today: Nobody has this
2. Access Data
Data Feeds
  • Real-time news & signals
  • On-chain & market data
  • Social sentiment
Today: Fragmented APIs
3. Execute Safely
Trade Harness
  • Cross-platform execution
  • Risk controls & limits
  • Behavior monitoring
Today: No guardrails
This is What We Build

6551 is the full-stack infrastructure that gives every AI Agent the profiling, data, and execution layer it needs — starting with the most important piece: knowing the user.

04
Profiling — The Core Problem

The Paradigm Shift

The better you know your user, the more you can monetize. Each generation unlocks a new level of profiling precision.

Gen 3 ✦
Agent-Native Media
  • Knows intent: what you ask your AI to do
  • Knows assets: real-time portfolio & positions
  • Knows behavior: what data your Agent fetches
  • Monetization: precision bidding, 10x CPM
Crystal-Clear Profile
Gen 2
Algorithmic Feed
  • Passive signals: clicks, scrolls, watch time
  • Knows what you browse, not what you think
  • Monetization: behavioral ads, moderate CPM
Blurry Profile
Gen 1
Push-Only Media
  • Broadcast — same content to all
  • No understanding of the reader
  • Monetization: flat-rate ads, low CPM
No Profile
05
Product

Three Products, One Stack

Agent-Native Media Terminal
Chat Butler
  • Natural language trading commands
  • Visual portfolio dashboard
  • 3-layer push architecture
Skills & Strategy Market
Skills Reviews
  • 72+ MCP modules, plug & play
  • Copy strategies from top traders
  • Verified PNL & community reviews
Cross-Platform Trade Harness
Portfolio Agents
  • CEX, DEX, equities, prediction markets
  • Risk harness: limits, stop-loss, anomaly detection
  • Trading data feeds back into profiling
06
Why We Win

A New Category — Built for Agents

Bloomberg built for humans reading screens. Toutiao for humans scrolling feeds. Neither was built for AI Agents. We are.

6551 (Agent Era) Bloomberg Telegram Bots Toutiao / TikTok
User Profiling Intent + holdings + agent behavior Manual watchlists None Clicks & dwell time
Data Access Open MCP, agent-native Proprietary, $32K/yr Fragmented bots Platform-locked
Execution Autonomous + risk harness Human clicks to trade Simple bot commands No execution
Ad Monetization Precision bidding on intent Flat-rate sponsorships Paid groups, shilling Behavioral targeting
Moat 1: Profiling

We know intent, assets, and behavior. 10x CPM vs Gen 2.

Moat 2: Ecosystem

72+ modules, 8,400+ agents. Developers build here because users are here.

Moat 3: Data Flywheel

Every trade feeds profiling → better ads → more users → more trades.

07
Business Model

Revenue Model

Bloomberg: $15B/yr from 325K terminal users. TikTok: $39B/yr from algorithmic ads. We combine both models for the Agent era.

01 Trade Commissions

Fee on every trade through OpenTrade. Scales with agent volume.

$3.1B Coinbase 2024 revenue benchmark
02 Ecosystem Take Rate

Platform cut on strategies and skills distribution. Creators earn, we capture distribution.

15-30% App Store take rate benchmark
03 Precision Advertising

Gen 3 profiles let projects target real holders. Bloomberg charges $32K/yr per terminal — our per-user ad value is similar.

$46K Bloomberg ARPU benchmark
04 MCP Data Subscriptions

Agents pay for real-time data feeds. Financial data market: $24B in 2024.

$6.6B Refinitiv revenue benchmark
08
Traction

Real Users, Real Revenue

Built and growing — even through the bear market.

70K+
Registered Agents on Network
Growing 15% month-over-month
40K+
Real Twitter Monitor Users
Active daily — even in bear market
10K+
Paying News Subscribers
Revenue-generating since Day 1
Core Target Segments
Professional Traders

Full-time traders who need faster signals, visual dashboards, and autonomous execution — replacing Telegram + spreadsheets.

Passive Investors

Set strategy once via natural language, let agents monitor and execute 24/7. Quant-level performance without quant-level effort.

Agent Developers

Build on our MCP data and OpenTrade execution. Publish strategies and Skills to the marketplace, earn from distribution.

09
Team

Built by Infrastructure Veterans

Cryptoxiao
Cryptoxiao CEO & Founder 32K followers
  • Founder of 6551 Community — 70K+ members
  • 10+ years in core infrastructure engineering
  • Built hybrid cloud systems managing 100,000+ nodes
  • Architected ad scheduling systems at 200,000 TPS
  • Author of Claude Code Design Guide
Mable Jiang
Mable Jiang Advisor
  • Cofounder at Trends · First angel & CRO of STEPN
  • Former General Partner at Multicoin Capital
  • Ex-Investment Banking at Citigroup NY · Ex-Didi
  • Columbia University · Host of HODLong Podcast
6551
The Full-Stack AI Trading Closed-Loop
The future of trading doesn't need traders — it needs infrastructure.
Agent-Native Media
Crystal-clear user profiling
Skills Ecosystem
Open developer community
OpenTrade
Risk control & trade harness
Raising $2-3M · Seed Round