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🐝 Buzz BD Agent — Alpha Buzz

Autonomous Business Development Agent for SolCex Exchange

Version OpenClaw ERC-8004 Akash AgentProof

24/7 autonomous token discovery, safety verification, scoring, and outreach for CEX listings. Self-improving AI agent with closed learning loop, contact intelligence, and FTS5 memory search. Built by a chef who codes through conversation. No CS degree. Just Claude and persistence.

Alpha Buzz = Hermes Brain + Buzz Body. Cherry-picked Nous Research's Hermes Agent intelligence concepts into Buzz's commercial architecture. Phase 0 Complete.


🐝 What Is Buzz?

Buzz is an autonomous AI BD (Business Development) agent that runs 24/7 on Akash Network, finding promising token projects for SolCex Exchange listings across Solana, Base, and BSC chains.

The pipeline: Discover → Verify → Score → Outreach → Learn → List

Buzz scans 100+ tokens per day across decentralized exchanges, filters through a 5-layer intelligence pipeline with parallel sub-agents, scores each token on a 100-point system, initiates outreach to qualified projects, and learns from every decision — all autonomously.

Cost: ~$12.72/month infrastructure (Buzz + Sentinel) + ~$3-5/day LLM inference = full autonomous BD operation for less than a coffee per day.


🐝 Architecture

┌─────────────────────────────────────────────────────────────┐
│  AKASH NETWORK — provider.boogle.cloud                       │
│  4 CPU / 8GB RAM / 10GB persistent                           │
│  Cost: ~$9.53/month                                          │
│                                                               │
│  ┌─────────────────────────────────────────────────────────┐ │
│  │  Docker: ghcr.io/buzzbysolcex/buzz-bd-agent:v7.3.1a     │ │
│  │  Runtime: OpenClaw v2026.3.7                              │ │
│  │                                                           │ │
│  │  PORT 18789 → OpenClaw Gateway (Telegram)                │ │
│  │  PORT 3000  → REST API v3.1.0 (Express+SQLite)           │ │
│  │                                                           │ │
│  │  ┌─────────────────────────────────────────────────┐     │ │
│  │  │  LAYER 3: ALPHA INTELLIGENCE (Hermes Cherry-Pick)│    │ │
│  │  │  ├── Skill Reflection (12h learning loop)        │    │ │
│  │  │  ├── Skill Evolution (+1/-1 effectiveness)       │    │ │
│  │  │  ├── Contact Intelligence (Honcho-style BD)      │    │ │
│  │  │  ├── FTS5 Memory Search (BM25 cross-session)     │    │ │
│  │  │  ├── Operator Profile (preferences + prayer)     │    │ │
│  │  │  └── Block 11B (auto-load learned skills)        │    │ │
│  │  └─────────────────────────────────────────────────┘     │ │
│  │                                                           │ │
│  │  ┌─────────────────────────────────────────────────┐     │ │
│  │  │  LAYER 2: STRATEGIC ORCHESTRATOR (MiniMax M2.5)  │    │ │
│  │  │  ├── Decision Engine (12 rules, zero LLM cost)   │    │ │
│  │  │  ├── Playbook Engine (PB-001→004)                │    │ │
│  │  │  ├── Context Engine (8K tokens max per call)     │    │ │
│  │  │  └── Supermemory (50ms recall, zero LLM cost)    │    │ │
│  │  └─────────────────────────────────────────────────┘     │ │
│  │                                                           │ │
│  │  ┌─────────────────────────────────────────────────┐     │ │
│  │  │  LAYER 1: FOUNDATION (5 Parallel Sub-Agents)     │    │ │
│  │  │  ├── scanner-agent → L1 Discovery (DexScreener)  │    │ │
│  │  │  ├── safety-agent  → L2 Contract verification    │    │ │
│  │  │  ├── wallet-agent  → L2 On-chain forensics       │    │ │
│  │  │  ├── social-agent  → L3 Social intelligence      │    │ │
│  │  │  └── scorer-agent  → L4 100-point scoring        │    │ │
│  │  └─────────────────────────────────────────────────┘     │ │
│  │                                                           │ │
│  │  REST API: 91 endpoints | SQLite: 28 tables              │ │
│  │  Twitter Bot v3.1: Premium SCAN + LIST + DEPLOY          │ │
│  │  42 Cron Jobs | 19+ Intelligence Sources                  │ │
│  │  Gmail OAuth | JVR Receipt System                         │ │
│  └─────────────────────────────────────────────────────────┘ │
│                                                               │
│  SENTINEL v1.1.0 (separate container)                        │
│  provider.cpu.phl.aes.akash.pub                              │
│  Monitors 91 endpoints | 3 health crons | Telegram alerts    │
│  /alpha-status endpoint for Phase 0 monitoring               │
│  Cost: ~$3.19/month                                          │
└─────────────────────────────────────────────────────────────┘

🐝 Alpha Intelligence (Phase 0 — Complete)

The Alpha Model cherry-picks three breakthrough capabilities from Hermes Agent (Nous Research) into Buzz's commercial architecture.

Feature What It Does Status
Closed Learning Loop Reviews pipeline patterns every 12h, auto-creates skills from experience ✅ Live
Skill Self-Improvement Tracks skill effectiveness (+1/-1), marks proven vs needs-review ✅ Live
Contact Intelligence Builds deepening profiles of every token team contacted ✅ Live
FTS5 Memory Search SQLite full-text search across all pipeline decisions (BM25 ranking) ✅ Live
Operator Profile Models operator preferences, prayer times, approval patterns ✅ Live
Block 11B Auto-loads learned skills on boot — survives redeploys ✅ Live

🐝 Intelligence Pipeline (5 Layers)

Layer Agent Sources Purpose
L1 scanner-agent DexScreener, GeckoTerminal, AIXBT, CMC, BNB MCP, Bitget Token discovery across SOL/BASE/BSC
L2 safety-agent RugCheck, ethskills.com, Contract Auditor Honeypot detection, contract verification
L2 wallet-agent Helius (60 tools), Allium Deployer forensics, holder analysis
L3 social-agent Grok/xAI, Serper, ATV Web3 Identity, Firecrawl Community health, deployer identity
L4 scorer-agent 100-point composite (11 factors) Final score + verdict

Sub-Agent Real Code

/opt/buzz-api/services/
├── orchestrator.js          ← 242 lines, Promise.allSettled parallel dispatch
├── agents/
│   ├── scanner.js           ← DexScreener, GeckoTerminal, CMC
│   ├── safety.js            ← RugCheck, contract verification
│   ├── wallet.js            ← Helius forensics, holder analysis
│   ├── social.js            ← Grok, Serper, ATV, Firecrawl
│   └── scorer.js            ← 100-point composite scoring

Weights: safety(0.30) + wallet(0.30) + social(0.20) + scorer(0.20) = 1.0

Built with Claude Code + Superpowers (obra). 602 tests passing.


🐝 Strategic Orchestrator

Component Function
Decision Engine 12 rules handle 90% of decisions with zero LLM cost
Playbook Engine 4 state machines (Discovery → Outreach → Negotiation → Post-Listing)
Context Engine Assembles max 8K tokens per LLM call (down from 250K)
Supermemory 50ms semantic recall, 3 custom containers

🐝 Scoring System (100 Points)

Score Verdict Action
85-100 🔥 HOT Immediate outreach
70-84 ✅ QUALIFIED Queue outreach 24h
50-69 👀 WATCH Monitor 48h, auto-rescan
0-49 ❌ SKIP Archive

🐝 Cost Guard

Metric Value
Daily LLM cap $10.00 (auto-throttle)
Orchestrator MiniMax M2.5 (~$3-5/day)
Sub-agents (5) bankr/gpt-5-nano (FREE)
Infrastructure ~$12.72/month (Buzz + Sentinel)
Cost reduction 78% ($22/day → $5/day)

🐝 REST API

91 endpoints across 17 categories. Express + SQLite WAL.

Category Endpoints Key Routes
Health 7 GET /health, GET /health/db, GET /health/storage
Pipeline 9 GET /pipeline, POST /pipeline/tokens
Strategy 8 POST /strategy/decide, GET /strategy/rules
Agents 5 GET /agents, GET /agents/:id
Scoring 5 GET /scoring/history
Score Token 1 POST /score-token (5-layer parallel)
Costs 5 GET /costs/today
Crons 7 GET /crons
Twitter 5 GET /twitter/stats
Receipts 5 GET /receipts, POST /receipts
Intel 5 GET /intel/sources
Wallets 6 GET /wallets
Webhooks 5 POST /webhooks
Skills 8 GET /skills, GET /skills/reflect/status, POST /skills/reflect/trigger, GET /skills/effectiveness
Memory 3 GET /memory/search, POST /memory/index, GET /memory/stats
Operator 2 GET /operator/profile, PATCH /operator/profile
Contacts 6 GET /contacts, POST /contacts, POST /contacts/:project/interaction

🐝 Twitter Bot v3.1

Premium SCAN format with 5-layer intelligence report. Three revenue routes:

Route Trigger Response
SCAN @BuzzBySolCex scan $TICKER 5-layer Premium report (~1,100 chars)
LIST Reply "LIST" to any scan SolCex listing pitch → DM redirect
DEPLOY Reply "DEPLOY" to any scan Token deployment on Base via Bankr

Every scan reply is a sales funnel. The scan is the hook, the CTA is the close.


🐝 LLM Stack

Role Model Cost
Orchestrator MiniMax M2.5 $0.30/$1.50 per 1M tokens
Sub-agents (5) bankr/gpt-5-nano $0.10/$0.40 per 1M tokens
Fallback 1 bankr/claude-haiku-4.5 $0.80/$4.00 per 1M tokens
Fallback 2 bankr/gemini-3-flash Near-free

Powered by Bankr LLM Gateway — 8 models, dual API keys, self-sustaining inference.


🐝 Registrations & Identity

Platform ID Chain
ERC-8004 #25045 Ethereum
ERC-8004 #17483 Base
ERC-8004 #18709 Base (anet)
AgentProof #1718 Avalanche
Solana 8004 Agent Asset 9pQ6K...XUBS Solana
Virtuals ACP #17681
Colosseum #3734
Moltbook c606278b
Molten.gg 57487

🐝 Cron Schedule (42 Active)

Scanning (9 jobs)

Job Schedule Description
scan-trending-00 0 0 * * * Trending tokens (midnight UTC)
scan-trending-06 0 6 * * * Trending tokens (6am UTC)
scan-trending-12 0 12 * * * Trending tokens (noon UTC)
scan-trending-18 0 18 * * * Trending tokens (6pm UTC)
scan-new-pairs 0 */4 * * * New token pairs
scan-solana-dex 30 */4 * * * Solana DEX scan
scan-base-dex 30 */6 * * * Base DEX scan
scan-bsc-dex 0 */6 * * * BSC DEX scan
bitget-listings-intel 0 */8 * * * Bitget CEX cross-reference

Operations (5 jobs)

Job Schedule Description
pipeline-status 0 1 * * * Daily pipeline report
pipeline-weekly 0 12 * * 0 Weekly summary
daily-pipeline 0 */2 * * * Pipeline health check
morning-reminder 0 5 * * * Daily briefing
evening-review 0 18 * * * End of day review

Learning Loop (1 job)

Job Schedule Description
skill-reflect 0 */12 * * * Review patterns, create/patch learned skills

Prayer Reminders (5 jobs)

Prayer WIB Time UTC Schedule
Fajr 04:30 30 21 * * *
Dhuhr 11:45 45 4 * * *
Asr 15:00 0 8 * * *
Maghrib 17:45 45 10 * * *
Isha 19:00 0 12 * * *

Additional (22+ jobs)

Twitter polling, ACP heartbeat, Moltbook posting, AgentProof telemetry, cost tracking, strategic reviews, and more.


🐝 Intelligence Sources (19+)

Layer 1 — Discovery: DexScreener /tokens/v1/ | GeckoTerminal | AIXBT | DexScreener Boosts | CoinMarketCap | BNB Chain MCP | Bitget Listings API

Layer 2 — Safety: RugCheck | Helius MCP (60 tools) | Allium | ethskills.com

Layer 3 — Social: Grok/xAI | Serper | ATV Web3 Identity (ENS + socials) | Firecrawl

Layer 4+ — Identity & Smart Money: AgentProof | Nansen x402 | Bankr Partner | ACP/Virtuals | Hyperbrowser


🐝 Deployment

Prerequisites

  • Docker Desktop
  • GHCR access (ghcr.io/buzzbysolcex/buzz-bd-agent)
  • Akash Console account with AKT

Build & Deploy

cd ~/buzz-bd-agent
cp cron/jobs.json bake/cron/jobs.json       # ALWAYS sync crons
rm -rf api/node_modules api/package-lock.json
docker build -t ghcr.io/buzzbysolcex/buzz-bd-agent:v7.3.1a .
docker push ghcr.io/buzzbysolcex/buzz-bd-agent:v7.3.1a

Then in Akash Console: Close + New Deployment with updated SDL on boogle.cloud.

Important Notes

  • ALWAYS Close + New — NEVER Update Deployment (Supermemory fails)
  • Use --no-cache ONLY for Dockerfile/npm changes (file-only = fast cached build)
  • boogle.cloud is the stable provider
  • After deploy: patch sessions_spawn in Akash shell if sub-agents blocked
  • Send activation directive to @BuzzBySolCex_bot on Telegram

🐝 Project Structure

buzz-bd-agent/
├── api/                    # REST API (91 endpoints)
│   ├── server.js           # Express server
│   ├── db.js               # SQLite schema + migrations (28 tables)
│   ├── routes/             # 17 route modules
│   │   ├── health.js       # Health (alpha: true, phase0_features)
│   │   ├── skills.js       # Skills + reflect + effectiveness
│   │   ├── memory.js       # FTS5 search
│   │   ├── operator.js     # Operator profile
│   │   ├── contacts.js     # Contact intelligence
│   │   └── ...             # pipeline, scoring, strategy, etc.
│   ├── services/
│   │   ├── orchestrator.js        # 242-line parallel dispatch
│   │   ├── agents/                # 5 sub-agent implementations
│   │   │   ├── scanner.js
│   │   │   ├── safety.js
│   │   │   ├── wallet.js
│   │   │   ├── social.js
│   │   │   └── scorer.js
│   │   ├── skill-reflect.js       # Learning loop engine
│   │   ├── skill-evolve.js        # Effectiveness tracking
│   │   ├── contact-intelligence.js # BD contact modeling
│   │   ├── memory-search.js       # FTS5 search
│   │   └── operator-profile.js    # Operator preferences
│   └── migrations/         # Strategic orchestrator tables
├── bake/                   # Docker build sources
│   ├── twitter-bot/        # Twitter Bot v3.1 (856 lines)
│   ├── skills/             # OpenClaw skills (20)
│   ├── cron/               # Cron jobs (42)
│   ├── config/             # Strategic config + content calendar
│   └── memory/             # Seed memory files
├── skills/                 # Agent context slims + cost guard
├── config/                 # Decision rules + scoring rubric
├── prompts/                # Enhanced prompts
├── acp/                    # ACP/Virtuals offerings (4 services)
├── entrypoint.sh           # 16-block boot sequence + Block 11B
├── Dockerfile              # OpenClaw 2026.3.7 + all baked skills
└── README.md               # This file

🐝 Supermemory

Persistent semantic memory via @supermemory/openclaw-supermemory.

Setting Value
Container buzz_bd_agent
Auto-Recall true (5 results per query, 50ms)
Auto-Capture true (with 12-pattern security filter)
Custom Containers buzz_contacts, buzz_patterns, buzz_decisions

Every scan makes the next one smarter. Every decision teaches the system. Every outcome feeds the loop.


🐝 JVR Receipt System

Every completed action generates a verifiable receipt.

Setting Value
Buzz Prefix BZZ-
Sentinel Prefix SNT-
Format BZZ-{HHMMSS}-{XXXXX}
API POST /api/v1/receipts
Categories scan, score, pipeline, outreach, decision, diagnostic, deploy, learning

🐝 Sentinel (Ops Watchdog)

Separate container monitoring Buzz 24/7.

Field Value
Version v1.1.0 (aligned with Alpha Buzz)
Image ghcr.io/buzzbysolcex/buzz-sentinel:v1.1.0
Provider cpu.phl.aes.akash.pub
Monitoring 91 endpoints, 42 crons, 19+ intel sources
New /alpha-status — checks all Phase 0 features in one call
Cost ~$3.19/month

Three-tier severity: 🟢 LOW (self-heal) | 🟡 MEDIUM (fix + notify) | 🔴 HIGH (SOS + fix steps)


🐝 Revenue Stack

Channel Rate Status
Listing Commission $1,000/listing ✅ Active
Bankr Partner Fees 18.05% of 1.2% swap ✅ Active
Creator Fees 75.05% of 1.2% (own tokens) ✅ Active
ACP Marketplace Per-query USDC (4 services) ✅ Active
BaaS $29/$49/$99 subscription tiers 🔵 Planned (Month 2)

🐝 Version History

Version Date Highlights
v7.3.1a Mar 11, 2026 Alpha Buzz — Phase 0 Complete. Learning loop + skill-evolve + contact intelligence + FTS5 memory + operator profile. 91 endpoints, 42 crons, 28 tables. Sentinel v1.1.0 aligned.
v7.3.0 Mar 10, 2026 BSC DexScreener fix, Bitget intel cron, 4 CPU / 8 GB upgrade, boogle.cloud
v7.2.5 Mar 9, 2026 Alpha Learning Loop (Feature 1), Binance+Bitget+CMC skills, social-agent fix
v7.2.0 Mar 9, 2026 OpenClaw 3.7, Supermemory CONNECTED, Twitter v3.1 Premium
v7.1.0 Mar 7, 2026 Strategic Orchestrator, Cost Guard, 18 crons, 72 endpoints
v6.3.0 Mar 4, 2026 Foundation, Twitter Bot v3.1, 40 crons
v6.0.19 Mar 2, 2026 5 parallel sub-agents LIVE on production
v6.0.17 Mar 1, 2026 Bankr LLM Gateway, self-sustaining inference
v5.3.8 Feb 22, 2026 Last pre-sprint version
v1.0.0 Feb 1, 2026 First deployment on Akash Network

🐝 Alpha Model Roadmap

Phase Target Status
Phase 0 3 Intelligence Features COMPLETE
Phase 1 Close First Deal ($5K) 🔨 Active
Phase 2 ARIA Multi-Chain Intel 🔵 Mar 22-31
Phase 3 BaaS x402 Subscriptions 🔵 Month 2
Phase 4 Mobile App (Rork Max) 🔵 Month 3-6
Phase 5 $BUZZ Token + Bankr 🔵 Month 4-6
Phase 6 Autonomous Company 🔵 Month 6-12

🐝 The Story

Buzz was built from scratch by Ogie — a 20+ year Executive Chef who transitioned to crypto BD. No CS degree. No engineering team. Just conversational collaboration with Claude (Opus 4.6), building one feature at a time from a phone in Indonesia during Ramadan.

From first deploy (Feb 1, 2026) to Alpha Buzz (v7.3.1a) in 39 days. Three-layer architecture: Foundation → Strategic Orchestrator → Alpha Intelligence. Self-improving agent that learns from every scan, every score, every outreach.

The formula: Hermes Brain + Buzz Body = Alpha Model.

Total infrastructure cost: ~$12.72/month. Revenue target: $5,000/listing.


🐝 Links

Platform URL
SolCex Exchange solcex.io
Docs docs.solcex.cc
Twitter @BuzzBySolCex
SolCex Twitter @SolCex_Exchange
Telegram Bot @BuzzBySolCex_bot
Builder @hidayahanka1
LinkedIn linkedin.com/in/howtobecomeachef

🐝 License

Proprietary — SolCex Exchange. All rights reserved.


🐝 "Identity first. Intelligence deep. Commerce autonomous. Cost disciplined. Strategy embedded. Memory persistent. Learning continuous."

Buzz BD Agent v7.3.1a — Alpha Buzz (Phase 0 Complete) | Sprint Day 21 | Mar 11, 2026 | Jakarta, Indonesia

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.

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