crypto-bd-agent
Production-tested patterns for building AI agents that autonomously discover, > evaluate, and acquire token listings for cryptocurrency exchanges.
Documentation
Crypto BD Agent — Autonomous Business Development for Exchanges
Production-tested patterns for building AI agents that autonomously discover, evaluate, and acquire token listings for cryptocurrency exchanges.
Overview
This skill teaches AI agents systematic crypto business development: discover promising tokens across chains, score them with a 100-point weighted system, verify safety through wallet forensics, and manage outreach pipelines with human-in-the-loop oversight.
Built from production experience running Buzz BD Agent by SolCex Exchange — an autonomous agent on decentralized infrastructure with 13 intelligence sources, x402 micropayments, and dual-chain ERC-8004 registration.
Reference implementation: https://github.com/buzzbysolcex/buzz-bd-agent
When to Use This Skill
- Building an AI agent for crypto/DeFi business development
- Creating token evaluation and scoring systems
- Implementing multi-chain scanning pipelines
- Setting up autonomous payment workflows (x402)
- Designing wallet forensics for deployer analysis
- Managing BD pipelines with human-in-the-loop
- Registering agents on-chain via ERC-8004
- Implementing cost-efficient LLM cascades
Do Not Use When
- Building trading bots (this is BD, not trading)
- Creating DeFi protocols or smart contracts
- Non-crypto business development
Architecture
Intelligence Sources (Free + Paid via x402)
|
v
Scoring Engine (100-point weighted)
|
v
Wallet Forensics (deployer verification)
|
v
Pipeline Manager (10-stage tracked)
|
v
Outreach Drafts → Human Approval → Send
LLM Cascade Pattern
Route tasks to the cheapest model that handles them correctly:
Fast/cheap model (routine: tweets, forum posts, pipeline updates)
↓ fallback on quality issues
Free API models (scanning, initial scoring, system tasks)
↓ fallback
Mid-tier model (outreach drafts, deeper analysis)
↓ fallback
Premium model (strategy, wallet forensics, final outreach)
Run a quality gate (10+ test cases) before promoting any new model.
1. Intelligence Gathering
Free-First Principle
Always exhaust free data before paying. Target: $0/day for 90% of intelligence.
Recommended Source Categories
| Category | What to Track | Example Sources |
|---|---|---|
| DEX Data | Prices, liquidity, pairs, chain coverage | DexScreener, GeckoTerminal |
| AI Momentum | Trending tokens, catalysts | AIXBT or similar trackers |
| Smart Money | VC follows, KOL accumulation | leak.me, Nansen free, Arkham |
| Contract Safety | Rug scores, LP lock, authorities | RugCheck |
| Wallet Forensics | Deployer analysis, fund flow | Helius (Solana), Allium (multi-chain) |
| Web Scraping | Project verification, team info | Firecrawl or similar |
| On-Chain Identity | Agent registration, trust signals | ATV Web3 Identity, ERC-8004 |
| Community | Forum signals, ecosystem intel | Protocol forums |
Paid Sources (via x402 micropayments)
- Whale alert services (~$0.10/call, 1-2x daily)
- Breaking news aggregators (~$0.10/call, 2x daily)
- Budget: ~$0.30/day = ~$9/month
Rules
- Cross-reference: every prospect needs 2+ independent source confirmations
- Multi-source cross-match gets +5 score bonus
- Track ROI per paid source — did this call produce a qualified prospect?
- Store insights in experience memory for continuous calibration
2. Token Scoring (100 Points)
Base Criteria
| Factor | Weight | Scoring |
|---|---|---|
| Liquidity | 25% | >$500K excellent, $200-500K good, $100K minimum |
| Market Cap | 20% | >$10M excellent, $1-10M good, $500K-1M acceptable |
| 24h Volume | 20% | >$1M excellent, $500K-1M good, $100-500K acceptable |
| Social Metrics | 15% | Multi-platform active, 2+ platforms, 1 platform |
| Token Age | 10% | Established >6mo, moderate 1-6mo, new <1mo |
| Team Transparency | 10% | Doxxed + active, partial, anonymous |
Catalyst Adjustments
Positive: Hackathon win +10, mainnet launch +10, major partnership +10, CEX listing +8, audit +8, multi-source match +5, whale signal +5, wallet verified +3-5, cross-chain deployer +3, net positive wallet +2.
Negative: Rugpull association -15, exploit history -15, mixer funded AUTO REJECT, contract vulnerability -10, serial creator -5, already on major CEXs -5, team controversy -10, deployer dump >50% in 7 days -10 to -15.
Score Actions
| Range | Action |
|---|---|
| 85-100 HOT | Immediate outreach + wallet forensics |
| 70-84 Qualified | Priority queue + wallet forensics |
| 50-69 Watch | Monitor 48 hours |
| 0-49 Skip | Log only, no action |
3. Wallet Forensics
Run on every token scoring 70+. This differentiates serious BD agents from simple scanners.
5-Step Deployer Analysis
- Funded-By — Where did deployer get funds? (exchange, mixer, other wallet)
- Balances — Current holdings across chains
-
Use Cases
- Building an AI agent for crypto/DeFi business development
- Creating token evaluation and scoring systems
- Implementing multi-chain scanning pipelines
- Setting up autonomous payment workflows (x402)
- Designing wallet forensics for deployer analysis
Quick Info
- Source
- antigravity
- Category
- Security & Systems
- Repository
- View Repo
- Scraped At
- Feb 26, 2026
Tags
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