Wiza takes a LinkedIn URL and gives you the contact details behind it. It is the one enrichment tool that accepts Sales Navigator and Recruiter links, not just public profiles, so a list you built inside LinkedIn arrives intact.
Wiza sits in the middle. Something upstream builds the list of profiles, Wiza fills in how to reach them, a sequencer or your CRM takes it from there.
catch the catch-all domains before a bounce costs you
a second pass on the profiles that came back empty
the LinkedIn list you just enriched is already a campaign list
write the numbers onto the candidate record
Ask for the outcome and your agent composes the run itself. Or start from a skill, a whole pipeline it already knows end to end.
browse all skills →Every tool ships with a written playbook, and the agent loads it before the first call. Auth, rate limits, what each call costs, which actions need your approval, and the mistakes worth avoiding. It is the difference between an agent that knows the tool and one that guesses at it.
Read the Wiza docs →HOW in lib/wiza.py.
https://wiza.co/api · Auth: header Authorization (env WIZA_API_KEY; never hardcode).get_credits = safe read-only pilot (free); returns email/phone/api balances.prospect_search — masked preview by title / level / company / industry / location. Free, no contact
info, and capped at ~30 results. Use it to build the URL list, not to enrich.start_individual_reveal → get_individual_reveal — reveals are async: start returns a job,
then poll until status is finished (starts queued). Accepts a LinkedIn/Sales Nav/Recruiter URL,
a plain email, or name + company_domain.create_list → get_list / get_list_contacts — bulk enrichment, same start-then-poll
shape (segment required when fetching contacts).enrich_company — synchronous company lookup by domain or name.start_individual_reveal bills once the result carries data: 1.0 credits base, rising to 2.5 for a
phone reveal and 3.5 for full (work + personal email + phone).
prospect_search and get_credits are free.
Sits in the email_enrichment and personal_email waterfalls. Typical flow: prospect_search (free,
masked) → collect LinkedIn URLs → reveal → push into the ATS.