Multi-topic person-grain discovery: given up to 25 topic_ids in one call, return the people showing intent across them. The fan-out runs in parallel server-side, so a 25-topic request is about as fast as a single topic. Each row is one person and carries a person_id. Each hem is a deterministic match key (sha256 of a normalized email), the address that carried the person's strongest signal; raw emails are never returned. count and the merged rows count persons, and billed rows are persons.

group_by selects the response shape:

• entity (default): one row per person, annotated with which of the requested topics they show intent on (topics) and how many they matched (topic_count). Set min_topics to require a match across at least N of the topics (default 1 = union). This view is cursor-paginated.
• topic: the raw per-topic ranked lists, one bucket per requested topic.

min_score and min_perc_score filter each topic's results. per_topic_limit (default 1000, max 5000) caps how deep each topic is scanned. min_topics, page_size, and cursor apply only to group_by=entity.