Agenclaw's Lead Generation engine is autonomous software that sources, verifies and scores B2B leads against your ICP — no manual list-building, no generic firmographic filters. Five specialist AI agents produce each verified contact, complete with a written reason it fits, deliverability-checked. You pay per verified lead delivered; rejected leads are never billed.
Leads that come with a reason attached.
Define who you sell to. The line sources, enriches, scores and verifies every contact — and writes down why each one fits — before anything reaches your dashboard. You pay $60 per verified lead, not per hour of someone else's research.
One unit. Four things in it.
A "lead" from Agenclaw isn't a name and a guess. It's a verified contact, a fit score against your own ICP, and a written reason — every time.
Most vendors hand you a spreadsheet of names that fit a firmographic filter — same industry, same headcount band — and call it qualified. That's a filter, not a judgement.
Every lead that reaches you has a rationale written against your ICP definition, not a generic template. If the reasoning is thin, the lead doesn't ship — it goes back to the sourcing stage.
Reject a lead in your dashboard for any reason and the credit is returned automatically. You're never billed for a contact you didn't want.
Five fields, every time.
- →Identity: Full name + verified job title
- →Company: Name, size band, industry, website
- →Contact: Deliverability-checked work email + LinkedIn URL
- →Match logic: One line on why this lead fits your ICP
- →Source: Which channel surfaced them
Real agents, one job each.
No agent does two jobs — the agent that sources a candidate is never the one that decides if it's good enough.
Turns your two-minute form into a machine-readable ICP spec.
Finds matching companies and people — every row backed by evidence. Finds and SMTP-verifies work emails. No verification, no delivery.
Scores fit 0–100 with a reason — sub-criteria always sum to the score.
Pure code, no LLM. Blocks role accounts, suppressed contacts, GDPR/CAN-SPAM/KVKK violations.