# Speaker Emotions Over Time

**Endpoint:** `/single-feature-api/speaker-emotions-over-time`

**`Method:`**` ``GET`

#### Parameters

* **Authorization**: Bearer token *(header)*
* **file-hash**: Hash of the meeting recording file *(query)*

#### Responses

* **200 OK**: List of fragments with emotions successfully retrieved

  **Example Response:**

  ```json
  {
    "chunks": [
      {
        "start_ms": 0,
        "end_ms": 60000,
        "emotions": {
          "speaker_id": "string"
        }
      },
      {
        "start_ms": 60001,
        "end_ms": 120000,
        "emotions": {
          "speaker_id": "string"
        }
      }
      // More chunks...
    ]
  }
  ```
* **400 Bad Request**: Invalid request
* **401 Unauthorized**: Unauthorized access
* **404 Not Found**: Meeting not found

This endpoint provides detailed insights into the emotional dynamics of a meeting by breaking down the emotions per speaker in 1-minute chunks. The response includes the start and end times of each chunk, along with the emotions associated with each speaker during that time frame.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.meetra.ai/meetra-ai-conversation-intelligence-api-reference/speaker-emotions-over-time.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
