Skip to content

buzzbysolcex/buzz-bd-agent

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

376 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Buzz BD Agent

Buzz BD Agent

Zero-Human Exchange Listing Company

The world's first autonomous agent that discovers, scores, simulates, and proposes token listings — powered by 1000-agent swarm intelligence across 19 chains.

WebsiteWeekly ReportELS-1 ProposalAPITwitter

Version MiroFish Contracts Intel Sources Chains LLM Cost Built By


What is Buzz?

Buzz is an autonomous Business Development agent for SolCex Exchange. It runs 24/7, scanning 31 intelligence sources across 19 blockchain networks to discover, evaluate, and simulate token listings — with zero human intervention until the final approval.

What makes Buzz different: A 1000-agent swarm intelligence engine (MiroFish) simulates how degens, whales, institutions, communities, and market makers would react to a token listing — producing emergent consensus that rule-based scoring cannot.

Built by a chef with 20+ years of culinary experience and zero CS degree, using conversational AI collaboration with Claude (Anthropic) over a 42-day sprint from Indonesia.

The Pipeline

DISCOVER → SCORE → SIMULATE → VERIFY → PROPOSE → OUTREACH → NEGOTIATE → LIST
    ↑                                                                      ↓
    └──────────────── feedback loop (calibration) ─────────────────────────┘
Stage What Happens
Discover ARIA v2 scans DexScreener, CoinGecko, HeyAnon MCP across 19 chains
Score 11 factors, 8 penalty rules, dual-gate verification (max 100 points)
Monte Carlo 1000 rule-based agents × 100 iterations in 26ms — statistical baseline
MiroFish 1000 LLM-driven agents simulate market reaction across 5 clusters
Verify Triple verification (3 independent sources) + on-chain recording
Propose Only tokens scoring 70+ with MiroFish consensus > 50% get a listing conversation

MiroFish — Swarm Intelligence Engine

The core differentiator. 1000 AI agents simulate how the market would react to a token listing.

┌────────────────────────────────────────────────┐
│            MIROFISH REAL SIM                    │
│                                                │
│  200 LLM agents (real reasoning)               │
│  800 heuristic agents (market dynamics)        │
│  5 clusters: degen│whale│institutional│        │
│              community│market_dynamics          │
│                                                │
│  Agents read each other's posts.               │
│  Beliefs evolve across rounds.                 │
│  Consensus EMERGES — it's not programmed.      │
│                                                │
│  First result (Nasdog, score 62):              │
│  • Overall: 40.2% bullish (weak HOLD)          │
│  • Degen: 0.84 (FOMO — only bulls)             │
│  • Institutional: 0.25 (skeptical — proof?)    │
│  • Whale: 0.30 (watching liquidity)            │
│  • Community: 0.30 (weak social presence)      │
│  • Market: 0.32 (concerned about depth)        │
│                                                │
│  "Only degens buy. Smart money holds."         │
│  That's honest intelligence.                   │
└────────────────────────────────────────────────┘

Scale path: 1000 → 10,000 agents (wave-batched, OASIS-style).

By the Numbers

Metric Value
Intelligence Sources 31 (including HeyAnon MCP — 19 chains, 45+ protocols)
Tokens Tracked 363
Tokens Scored 66 (0 passed honestly — that's integrity)
Smart Contracts 4 on Base mainnet
MiroFish Agents 1000 (200 LLM + 800 heuristic)
Monte Carlo 1000 × 100 iterations in 26ms
Signal Revenue $200 (AIBTC News, 8 brief inclusions)
Signal Streak 8 days
AIBTC Beats 7 (agent-economy, agent-trading, infrastructure, security, deal-flow, agent-skills, governance)
CI/CD Deployments 107+ (all green)
LLM Cost $0/day (Opus 4.6 Pro Max unlimited + Ollama local)
Server Cost $43/month (Hetzner CPX62, 32GB RAM)
Crons 45 active (42 dead killed during system audit)
Skills 8 (AI-native repo with folder/SKILL.md pattern)
Rules 10 (path-scoped conditional rules)
ADRs 12 (architecture decision records)
Browser Tools 3 (gsd-browser, dev-browser, Browser Use CLI)
Sprint Duration 42 days

Smart Contracts (Base Mainnet)

Contract Address Purpose
ScoreStorage v2 0xbf81...388Fb Immutable token scores + MiroFish simulation hash
ListingOracle 0xc584...4463 Public getListingScore() — queryable by any dApp
ListingEscrow 0xc77F...3ED Deposit-based listing flow (confirm/refund)
BuzzReputation 0x723B...2747 On-chain prediction accuracy tracking

$0.025 total gas. 28 tests passing. Foundry 1.5.1.

Intelligence Stack

Layer 1: CHAIN-NATIVE (deep, single-chain)
  ├── DexScreener — pairs, liquidity, security across 60+ chains
  ├── CoinGecko — aggregated price, MCap, volume
  └── HeyAnon MCP — 19 chains, 45+ protocols, Rug-O-Meter

Layer 2: SIMULATION (swarm intelligence)
  ├── MiroFish Real Sim — 1000 LLM-driven agents, 5 clusters, belief evolution
  ├── Monte Carlo Stage 2 — 1000 × 100 rule-based iterations, 26ms
  └── Dual-Brain — 90% Opus 4.6 / 10% Ollama qwen3:8b

Layer 3: ENRICHMENT (context, non-price)
  ├── gsd-browser — 63-command Rust CLI, declarative extraction
  ├── dev-browser — QuickJS sandbox, structured data extraction
  └── GeckoTerminal — circulating MCap, gt_score

Layer 4: EXECUTION (CEO-approved only)
  ├── HeyAnon MCP — swap, bridge, stake (19 chains)
  └── Phantom MCP — wallet operations across SOL/ETH/BTC/SUI

Scoring Engine (v2_8rules)

Every token is evaluated across 11 factors in 4 categories (max 100 points):

Category Weight Factors
Market Structure 30 pts Liquidity depth, volume consistency, FDV-to-MCap ratio
Safety 25 pts Audit status, honeypot detection, contract verification
Community 25 pts Holder distribution, social engagement, team transparency
Technical 20 pts Code quality, on-chain activity, development velocity

8 penalty rules: FDV gap, stablecoin exclusion, ghost token exclusion, contradictory audit hold, security penalties, liquidity cross-ref, honeypot zero, phantom exclusion.

Dual-gate verification: Fundamentals ≥ 42/70 AND Market ≥ 18/30.

Honest calibration: 11 tokens initially scored 85+. After applying penalty rules, all dropped below 50. We catch what others miss.

HSaaS — Honest Scoring as a Service

Token audit product powered by MiroFish swarm intelligence.

Tier Price What You Get
Free Score $0 Basic 11-factor score at buzzbd.ai/score
Professional $200-400/mo 200-agent MiroFish simulation, API access
Protocol Audit $1,500 1000-agent simulation, on-chain proof, PDF report
Enterprise $2-5K/mo 10,000-agent wave simulation, white-label API
BaaS Report $99-149 Single MiroFish simulation, PDF delivered

"11 tokens passed every other audit. 1000 agents caught them anyway."

ELS-1: Exchange Listing Standard

An open protocol proposal for honest, data-driven exchange listings.

  • Spec: EIP-track standard for listing qualification criteria
  • Oracle: On-chain scoring accessible by any dApp
  • Reference Implementation: 4 contracts on Base + Buzz intelligence engine
  • Proposal: buzzbd.ai/proposal

On-Chain Identity

Chain Identity
Ethereum ERC-8004 #25045
Base ERC-8004 #17483
Avalanche AgentProof #1718
Solana 9pQ6K...XUBS
Bitcoin (AIBTC) bc1qsja6...umxeagze (Ionic Nova)
HeyAnon EVM (19 chains) 0xE5d2...f60b
HeyAnon Solana BNS48CG...Zn9A

Architecture

Brain:    Claude Code Opus 4.6 (Pro Max unlimited, 24/7 on Hetzner CPX62)
Body:     Express API (150+ endpoints, 63 tables, 45 crons)
Swarm:    MiroFish Real Sim (1000 agents, 5 clusters, Dual-Brain 90/10)
Monte:    Monte Carlo Stage 2 (1000×100 in 26ms)
Feed:     ARIA v2 (autonomous discovery, 3 sources, 06:00 UTC scan)
Chain:    4 smart contracts (Base mainnet, Foundry)
MCP:      HeyAnon (19 chains) + Phantom (4 chains)
Browser:  gsd-browser (63 cmd) + dev-browser + Browser Use CLI
Shield:   Sentinel v2.0 (auto-repair, 15min sweeps)
Repo:     AI-native (8 skills, 10 rules, 12 ADRs, hooks)
Signals:  AIBTC Signal Factory v4.0 (7 beats, Genome Stack)
Brand:    Cyberpunk robotic bee (deployed everywhere)

AIBTC Signal Factory v4.0

Buzz earns BTC by filing intelligence signals on aibtc.news as Ionic Nova.

Metric Value
Leaderboard #14 (347 points, board accelerating)
Brief Inclusions 8 ($200 revenue)
Signal Streak 8 days
Beats Claimed 7 (agent-economy, agent-trading, infrastructure, security, deal-flow, agent-skills, governance)
Daily Target 6 signals/day
Unique Signals MiroFish Swarm Prediction Alerts (Templates 11-13)

Links

Resource URL
Website buzzbd.ai
Weekly Report buzzbd.ai/report
ELS-1 Proposal buzzbd.ai/proposal
API api.buzzbd.ai
Agent Endpoint api.buzzbd.ai/agent
Twitter @BuzzBySolCex
Discord Buzz BD Agent
SolCex Exchange @SolCex_Exchange
Builder @HidayahAnka1

The Story

Day 1: A chef in Saudi Arabia who'd never written code. Day 7: First API deployed on Akash Network. Day 14: 5 sub-agents scoring tokens. Day 21: Migrated to Hetzner. Killed all external LLMs ($1,320/day → $0). Day 28: First smart contract on Base mainnet. Day 35: Scoring engine calibrated. 0 out of 254 tokens pass honestly. Day 42: 4 contracts. ARIA v2. 1000-agent MiroFish simulation. $200 signal revenue. Day 42+: MiroFish validated — 50 agents proved emergent behavior. Only degens bullish. Institutional skeptical. That's real intelligence.

No CS degree. No VC. No team. Just persistence.


Built by a chef. Powered by Claude. Simulated by 1000 agents. Verified on-chain.
Mise en place — everything in its place before the service begins.

v8.4.0 | Post-Sprint Day 1 | 31 Intel Sources | 4 Contracts | 19 Chains | 1000 Agents | $0/day LLM

About

Autonomous AI BD agent for SolCex Exchange — 24/7 token scanning, 100-point scoring, x402 USDC micropayments for premium intelligence, and automated outreach. Built on OpenClaw, deployed on Akash Network.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors