What this skill does

Takes a batch of IP addresses from web traffic logs and resolves them to real person-level identities — going beyond company-level to name, title, LinkedIn profile, and contact data where available.

Expect ~10–15% of IPs to yield a complete identity. That's not a bug — it's the nature of person-level IP resolution. Not-found results at each step are free.

Chain

IP addresses
  ├── ip_to_company          (IP → company name + firmographics)
  └── ip_to_hem              (IP → hashed emails, MD5)
        └── hem_to_best_linkedin     (MD5 → LinkedIn URL)
              └── linkedin_to_business_profile  (LinkedIn → full profile)

Inputs

• IP addresses — line-separated, CSV column, or server log format
• Private IPs (10.x, 192.168.x, 172.16–31.x, 127.x) are automatically excluded

Output

IPs processed:    200
Company matches:  143  (72%)
Person matches:    61  (30%)
Full profiles:     48  (24%)
Credits used:     ~XXX

Tips

• A mandatory credit check runs before the chain starts — conservatively estimate ~10–15% of IPs yield a full identity
• ISP/residential IPs are flagged as "Residential/ISP — not a business" in output
• If credits run out mid-batch, completed rows are output with the exact resume point
• Processing 60–120+ seconds for any meaningful batch — set expectations accordingly