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List the company’s Sales Coach discussions, most recently opened first. A discussion is one conversation a user had with the Sales Coach — the Qobra AI assistant they ask about their own statement — their questions and the agent’s answers. Reach for it to review what people actually asked the AI: recurring confusion about a plan, topics the agent had to escalate, a specific rep’s questions. Qobra’s other AI agents have no equivalent tool yet, so this is not the full picture of what people ask the product’s AI. Reserved to full statement access, so it returns every discussion in the company. Filters combine with AND. Each row is a summary — the opening question, how many questions followed, whether the agent escalated; fetch get_sales_coach_discussion for the full transcript of one. Keep paginating for as long as next_offset comes back set: a page can be shorter than limit — empty, even — without being the end of the list.

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Parameters

Body

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string
Keep only the discussions this person had with the agent — the id list_users returns, or their exact email. Omit for every author.
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string
Keep only discussions about the statement with this id — the id list_statements returns. Combined with period, it narrows to the intersection, which is empty unless that statement belongs to that period.
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string
Keep only discussions about statements of this period, in YYYY-MM format (e.g. 2026-03). Omit for every period.
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string
Keep only discussions opened at or after this instant. Accepts an absolute ISO-8601 date/time (‘2026-07-01’) or a duration relative to now (‘-P7D’ for the last 7 days). Omit for no lower bound.
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string
Keep only discussions opened at or before this instant. Same accepted forms as start. Omit for no upper bound.
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integer
Page size, between 1 and 250. Defaults to 50.
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integer
Row offset into the result set — the number of rows to skip before this page. Pass the next_offset returned by the previous call, or None for the first page.

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Response

Body

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object[]
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integer