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GET
JavaScript

Authorizations

Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Query Parameters

group_by
string[]

Fields to group by (can be comma-separated or multiple parameters). Prefix a field with 'metadata.' (e.g. 'metadata.assistant_id') to group by the conversation's metadata instead of the insight result.

Common fields used for over-time charts:

  • score — Group by the insight's score value (e.g. for Agent Instruction Following, User Satisfaction).
  • metadata.assistant_id — Group by the assistant that handled the conversation.
  • metadata.assistant_version_id — Group by the assistant version, useful for comparing performance across versions in the portal's 'Insights Over Time' chart.
  • metadata.telnyx_conversation_channel — Group by conversation channel (phone_call, web_chat, etc.).
show
string[]

Fields to include in the result (can be comma-separated or multiple parameters). Supports the same 'metadata.' prefix as group_by. Each returned row will contain the grouped field values plus a record_count indicating how many conversation insights match that combination.

insight_id
string<uuid>

Optional insight ID to filter conversation insights. Only insights matching this ID will be included in the aggregation.

created_at
string

Filter by creation datetime to scope the aggregation window. Supports range operators (e.g., created_at=gte.2025-01-01T00:00:00Z for the start of the range, created_at=lt.2025-01-02T00:00:00Z for the end). To build per-day time series (as the portal does for the 'Insights Over Time' chart), issue one request per day bounded by created_at=gte.<day_start> and created_at=lt.<next_day_start>.

metadata.assistant_id
string

Filter by assistant ID (e.g., metadata.assistant_id=eq.<assistant_id>). When provided, only conversation insights for the specified assistant are aggregated. Used by the portal to scope the 'Insights Over Time' chart to a single assistant.

Response

Successful Response

Aggregated conversation insight counts grouped by the specified fields. Each item in data contains the grouped field values and a record_count indicating how many conversation insights match that combination.

data
Data · object[]
required

Aggregation result rows. Each row contains the grouped field values and a record_count.