| name | lead-generation |
| description | Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by 1.5B+ indexed posts via Xpoz MCP. |
| homepage | https://xpoz.ai |
| metadata | {"openclaw":{"requires":{"bins":["mcporter"],"skills":["xpoz-setup"],"network":["mcp.xpoz.ai"],"credentials":"Xpoz account (free tier) — auth via xpoz-setup skill (OAuth 2.1)"},"install":[{"id":"node","kind":"node","package":"mcporter","bins":["mcporter"],"label":"Install mcporter (npm)"}]}} |
| tags | ["lead-generation","sales","prospecting","social-media","twitter","instagram","reddit","find-leads","social-selling","buyer-intent","outreach","growth","marketing","customer-discovery","leads","mcp","xpoz","intent","discovery"] |
| inputs | [{"name":"product_description","type":"string","required":false,"description":"Plain-text description of your product and the problems it solves (use this OR product_url)"},{"name":"product_url","type":"string","required":false,"description":"Your product's website URL — skill will auto-profile it to generate search queries (use this OR product_description)"}] |
| outputs | [{"name":"leads","type":"list","description":"Scored leads ready for outreach review, each with {platform, username, score, url, outreach_draft}"}] |
Lead Generation
Find high-intent buyers from live social conversations.
Discovers leads expressing problems your product solves, complaining about competitors, or actively seeking solutions across Twitter, Instagram, and Reddit.
Setup
Run xpoz-setup skill to authenticate. Verify: mcporter call xpoz.checkAccessKeyStatus
3-Phase Process
Phase 1: Product Research (One-Time)
Ask for product reference (website/GitHub/description). Use web_fetch/web_search to research. Build profile:
- Product description
- Target audience / ICP
- Pain points addressed
- Competitors
- Keywords
Validate with user before proceeding.
Generate 12-18 search queries across:
- Pain point queries — people expressing problems your product solves
- Competitor frustration — complaints about alternatives
- Tool/solution seeking — "recommend a tool for..."
- Industry discussion — target audience conversations
Save to data/lead-generation/product-profile.json and data/lead-generation/search-queries.json.
Phase 2: Lead Discovery (Repeatable)
mcporter call xpoz.getTwitterPostsByKeywords query="QUERY" startDate="DATE"
mcporter call xpoz.checkOperationStatus operationId="op_..."
mcporter call xpoz.getTwitterUsersByKeywords query="..."
mcporter call xpoz.getRedditPostsByKeywords query="QUERY" limit=10
Phase 3: Scoring & Output
Score (1-10):
| Signal | Points |
|---|
| Explicitly asking for tool/solution | +3 |
| Complaining about named competitor | +2 |
| Project blocked by pain point | +2 |
| Active in target community | +1 |
| High engagement (>10 likes / 5 comments) | +1 |
| Recent (<48h) | +1 |
| Profile matches ICP | +1 |
| Is selling a competing product | -3 |
| Is a KOL/content creator (not a buyer) | -2 |
Tiers: 8-10 = 🔴 Hot (outreach now), 6-7 = 🟠 Warm (monitor), 5 = Watchlist, <5 = Skip
Deduplicate via data/lead-generation/sent-leads.json (key: {platform}:{author}:{post_id}).
Output format for each lead:
🔴 HOT LEAD (Score: 8/10)
@username | Job Title | Platform
"Quote from their post..."
URL: https://...
Posted: X days ago | Y likes, Z replies
Why: [Signal breakdown]
Outreach draft:
"Had the exact same problem — we ended up building [solution].
Happy to share what worked. (Disclosure: I work on [Product])"
Query Limitations (Xpoz)
Xpoz uses split-word matching, NOT phrase matching.
- "brand voice" → matches "brand" OR "voice" → noisy results
- FIX: Use domain-specific compound terms with unique identifiers
- Competitor queries work best because competitor names are unique
Tips
- Save product profile once, reuse daily
- Quality > quantity — filter aggressively
- Always disclose affiliations in outreach drafts
- Drafts only — user reviews before sending
- Daily budget: ~6 queries/day on free tier (~5,000 credits total)