ranbot-ai/crypto-bd-agent

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

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Architecture

Intelligence Sources (Free + Paid via x402)
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        v
  Scoring Engine (100-point weighted)
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        v
  Wallet Forensics (deployer verification)
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        v
  Pipeline Manager (10-stage tracked)
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        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.

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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

1. Cross-reference: every prospect needs 2+ independent source confirmations
2. Multi-source cross-match gets +5 score bonus
3. Track ROI per paid source — did this call produce a qualified prospect?
4. Store insights in experience memory for continuous calibration

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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 |

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3. Wallet Forensics

Run on every token scoring 70+. This differentiates serious BD agents from simple scanners.

5-Step Deployer Analysis

1. Funded-By — Where did deployer get funds? (exchange, mixer, other wallet)
2. Balances — Current holdings across chains