# GET Response-chains

## Response chains

<mark style="color:blue;">`GET`</mark> `https://api.feedbackly.com/v5.0.2/response-chains`

Gets responses grouped by a single respondent.

#### Query Parameters

| Name              | Type   | Description                                         |
| ----------------- | ------ | --------------------------------------------------- |
| skip              | number | No. of documents to skip from the start             |
| createdTo         | string | Filter by unix timestamp, ending at given value     |
| createdFrom       | string | Filter by unix timestamp, starting from given value |
| touchpointId      | string | Filter by touchpoint id                             |
| surveyId          | string | Filter by survey ids                                |
| preferredLanguage | string | Preferred language to show the question titles in   |

#### Headers

| Name          | Type   | Description                                                                                           |
| ------------- | ------ | ----------------------------------------------------------------------------------------------------- |
| Authorization | string | <p>Authentication token to access the API. eg:<br>'Authorization': 'ey0iuefg.834xcunerun348efnsd'</p> |

{% tabs %}
{% tab title="200 " %}

```
{
    data: [
        {
        "_id": "5979be93d296f3dbf83fb056",
        "surveyId": "59788132f870b600018d6dda",
        "touchpointId": "59529fbef3774c0001a49708",
        "touchpointName": "My touchpoint",
        "createdAt": 1501150867,
        "createdAtDate": "2017-07-27T10:21:07.619Z",
        "teamId": "5dc56d54b7c935069aefa9e2",
        "teamName": "My team name",
        "metadata": {
            "customerId": "34tNa31"
        },
        "language": "en",
        "browser": "Mac OS X Chrome 84.0.4147.105",
        "responses": [
            {
                "question": "How likely are you to recommend us to your friend or colleague?",
                "answer": 2,
                "valueNum": 2,
                "language": "en",
                "questionType": "NPS",
                "questionId": "5978813ab9215744ea08e463",
                "surveyId": "59788132f870b600018d6dda"
            },
            {
                "question": "Could you specify what was bad in your experience?",
                "answer": "Your office branch was unclean.",
                "valueString": "Your office branch was unclean.",
                "language": "en",
                "questionType": "Text",
                "questionId": "597881a4b9215744ea08e464",
                "surveyId": "59788132f870b600018d6dda"
            }
        ]
     }
    ],
    "paging": {
        "next": "https://api.feedbackly.com/v5/response-chains?skip=200",
        "previous": "https://api.feedbackly.com/v5/response-chains?skip=0"
  }
}
```

{% endtab %}
{% endtabs %}

### Return type description

| Field  | Type                                                                                  | Example | Description                            |
| ------ | ------------------------------------------------------------------------------------- | ------- | -------------------------------------- |
| data   | [Response chain data](/v.5.0.2/api/response-chains.md#response-chain-data-object) \[] |         | Response chain with embedded responses |
| paging | [Pagination](/v.5.0.2/api/notes/pagination.md)                                        |         | Pagination object                      |


---

# 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.feedbackly.com/v.5.0.2/api/response-chains/get-response-chains.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.