Start a deep text exploration of conversation transcripts. Returns immediately with a job_id (status "pending"); long-poll perspective_await_job until status "ready" for findings with source citations.
A sub-agent reads raw transcripts (exact phrases, multi-conversation patterns, deep reads). Prefer conversations_search for broad thematic/semantic questions, and conversations_data_analysis for quantitative counts.
Omit filters to explore the full analysis corpus. Use filters only to establish a clear transcript boundary: conversation status, a creation-date range, or explicit conversation IDs. Use conversations_data_analysis first when a cohort must be identified from structured attributes, then pass the resulting conversation IDs here. A filtered job covers the complete filtered scope, not the complete perspective.
Use for:
- Exact mentions of words/phrases
- Comparing conversation patterns across time
- Reading full conversations with specific participants
- Cross-referencing text patterns ("conversations mentioning X AND Y")
- Interviewer approach or conversation flow
Behavior:
- Read-only against conversation data.
- Open-world: runs an automated exploration agent in a durable background job using external services.
- Each call starts a new job — not safe to retry blindly for the same query.
- Typical flow: conversations_explorer → perspective_await_job (re-poll while pending).
When NOT to use this tool:
- Counts/distributions — use conversations_data_analysis.
- Semantic themes without exact match — use conversations_search.
- One known conversation id — use perspective_get_conversation.
- Polling a previously-started job — use perspective_await_job.
ConnectorOAuth