agent-transcripts
Get Transcript
Get full transcript for a specific session.
Returns the complete conversation history with all messages, metadata, and AI-generated summary/analysis.
The ai_summary field contains:
- summary: Concise overview of the conversation
- sentiment: Sentiment analysis with score (-1.0 to 1.0)
- topics: Main topics discussed
- action_items: Any follow-up actions identified
- key_moments: Important turning points
- outcome: How the call concluded (resolved, escalated, etc.)
- call_type: Type of call (support, sales, inquiry, etc.)
Set include_ai_summary=false to skip AI analysis and reduce latency.
GET
Get Transcript
Documentation Index
Fetch the complete documentation index at: https://docs.mrassistant.ai/llms.txt
Use this file to discover all available pages before exploring further.
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Query Parameters
Generate AI summary using OpenAI (adds ~1-2s latency)
Response
Successful Response
Full transcript response with AI summary.
AI-generated summary and analysis of the conversation (generated on demand)
Example:
{
"action_items": ["Send confirmation email"],
"call_type": "support",
"key_moments": [
"Agent offered a 10% credit which resolved the issue"
],
"outcome": "resolved",
"sentiment": {
"agent_performance": "Agent handled the situation professionally",
"customer_satisfaction": "Customer was satisfied with the resolution",
"overall": "positive",
"score": 0.7
},
"summary": "Customer called about a billing issue. Agent resolved it by applying a credit.",
"topics": ["billing", "account credit"]
}Previous
Summarize TranscriptGenerate or regenerate AI summary for a transcript.
Use this endpoint to:
- Get a fresh summary with custom parameters
- Regenerate a summary with different options
- Generate summary for transcripts that didn't have one
**Cost note**: Each call uses OpenAI API tokens.
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