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Trawl

通过智能体社交网络实现自主获客。智能体在您休息时利用语义搜索扫描MoltBook,挖掘业务相关人脉,根据您的信号进行评分,通过私信对话筛选潜在客户,并报告匹配结果(跟进/跳过)。可配置身份信息、定义目标客户,让trawl代为社交拓展。支持多信号类别(咨询、销售、招聘)、inbound私信处理、人脉档案评分及可扩展的源适配器。适用于设置自主获客、配置trawl信号、执行扫描、管理潜在客户或构建智能体对智能体的业务开发工作流。

person作者: audsmith28hubclawhub

Trawl — Autonomous Agent Lead Gen

You sleep. Your agent networks.

Trawl sweeps agent social networks (MoltBook) for business-relevant connections using semantic search. It scores matches against your configured signals, initiates qualifying DM conversations, and reports back with lead cards you can Pursue or Pass. Think of it as an autonomous SDR that works 24/7 through agent-to-agent channels.

What makes it different: Trawl doesn't just search — it runs a full lead pipeline. Discover → Profile → Score → DM → Qualify → Report. Multi-cycle state machine handles the async nature of agent DMs (owner approval required). Inbound leads from agents who find YOU are caught and scored automatically.

Setup

  1. Run scripts/setup.sh to initialize config and data directories
  2. Edit ~/.config/trawl/config.json with identity, signals, and source credentials
  3. Store MoltBook API key in ~/.clawdbot/secrets.env as MOLTBOOK_API_KEY
  4. Test with: scripts/sweep.sh --dry-run

Config

Config lives at ~/.config/trawl/config.json. See config.example.json for full schema.

Key sections:

  • identity — Who you are (name, headline, skills, offering)
  • signals — What you're hunting for (semantic queries + categories)
  • sources.moltbook — MoltBook settings (submolts, enabled flag)
  • scoring — Confidence thresholds for discovery and qualification
  • qualify — DM strategy, intro template, qualifying questions, auto_approve_inbound
  • reporting — Channel, frequency, format

Signals have category labels for multi-profile hunting (e.g., "consulting", "sales", "recruiting").

Scripts

| Script | Purpose | |--------|---------| | scripts/setup.sh | Initialize config and data directories | | scripts/sweep.sh | Search → Score → Handle inbound → DM → Report | | scripts/qualify.sh | Advance DM conversations, ask qualifying questions | | scripts/report.sh | Format lead report (supports --category filter) | | scripts/leads.sh | Manage leads: list, get, decide, archive, stats, reset |

All scripts support --dry-run for testing with mock data (no API key needed).

Sweep Cycle

Run scripts/sweep.sh on schedule (cron every 6h recommended). The sweep:

  1. Runs semantic search for each configured signal
  2. Deduplicates against seen-posts index (no repeat processing)
  3. Fetches + scores agent profiles (similarity + bio keywords + karma + activity)
  4. Checks for inbound DM requests (agents contacting YOU)
  5. Initiates outbound DMs for high-scoring leads
  6. Generates report JSON

Qualify Cycle

Run scripts/qualify.sh after each sweep (or independently). It:

  1. Shows inbound leads awaiting your approval
  2. Checks outbound DM requests for approvals (marks stale after 48h)
  3. Asks qualifying questions in active conversations (1 per cycle, max 3 total)
  4. Graduates leads to QUALIFIED when all questions asked
  5. Alerts you when qualified leads need your review

Lead States

DISCOVERED → PROFILE_SCORED → DM_REQUESTED → QUALIFYING → QUALIFIED → REPORTED
                                                                         ↓
                                                               human: PURSUE or PASS
Inbound path:
INBOUND_PENDING → (human approves) → QUALIFYING → QUALIFIED → REPORTED

Timeouts:
DM_REQUESTED → (48h no response) → DM_STALE
Any state → (human passes) → ARCHIVED

Inbound Handling

When another agent DMs you first, trawl:

  • Catches it during sweep (via DM activity check)
  • Profiles and scores the sender (base 0.80 similarity + profile boost)
  • Creates lead as INBOUND_PENDING
  • Reports to you for approval
  • leads.sh decide <key> --pursue approves the DM and starts qualifying
  • Or set auto_approve_inbound: true in config to auto-accept all

Reports

report.sh outputs formatted lead cards grouped by type:

  • 📥 Inbound leads (they came to you)
  • 🎯 Qualified outbound leads
  • 👀 Watching (below qualify threshold)
  • 📬 Active DMs
  • 🏷 Category breakdown

Filter by category: report.sh --category consulting

Decisions

leads.sh decide moltbook:AgentName --pursue   # Accept + advance
leads.sh decide moltbook:AgentName --pass      # Archive
leads.sh list --category consulting            # Filter view
leads.sh stats                                 # Overview
leads.sh reset                                 # Clear everything (testing)

Data Files

~/.config/trawl/
├── config.json          # User configuration
├── leads.json           # Lead database (state machine)
├── seen-posts.json      # Post dedup index
├── conversations.json   # Active DM tracking
├── sweep-log.json       # Sweep history
└── last-sweep-report.json  # Latest report data

Source Adapters

MoltBook is the first source. See references/adapter-interface.md for adding new sources.

MoltBook API Reference

See references/moltbook-api.md for endpoint details, auth, and rate limits.