Der ZOOQ - LinkedIn Data for AI Agents MCP-Server,
verbunden mit einem Klick.

“Nutze „profile_full“: Complete profile in one call — positions, education, skills, certifications, geo, follower/connection counts and flags. This is the canonica.”

“Nutze „profile_entity_id“: Resolve a public handle to the person entityId used by the live person endpoints (posts, comments, interests, lookalikes). Resolve once, reu.”

“Nutze „profile_enrich“: Freshest LIVE snapshot of one profile, by handle or entityId — not the deduplicated dataset record the other profile/* endpoints return. Car.”

“Nutze „profile_employment_history“: Complete LIVE work history for one person: per-role organization, title, description, location, parsed dates, per-role skills, and parallel-.”

profile_full — Complete profile in one call — positions, education, skills, certifications, geo, follower/connection counts and flags. This is the canonica

profile_entity_id — Resolve a public handle to the person entityId used by the live person endpoints (posts, comments, interests, lookalikes). Resolve once, reu

profile_enrich — Freshest LIVE snapshot of one profile, by handle or entityId — not the deduplicated dataset record the other profile/* endpoints return. Car

profile_employment_history — Complete LIVE work history for one person: per-role organization, title, description, location, parsed dates, per-role skills, and parallel-

profile_recommendations — Recommendations written for the person, with author details and text. (Costs 10 Zooq credits.)

profile_similar — Similar professional profiles — expand a shortlist from one example. (Costs 10 Zooq credits.)

profile_interests — Entities the person follows (companies, groups, people, newsletters). (Costs 10 Zooq credits.)

companies_entity_id — Resolve a company slug to the numeric organization id used by the live company endpoints (posts, similar, affiliated, insights). Resolve onc