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# Get feedback

> One feedback item with its full text, company, user, tags and the insights that link it to features. Inputs, cURL, Python and Node.js examples and an example response.

Source: https://cotlet.dev/docs/api/productboard/get_feedback

Docs sections: [Get started](https://cotlet.dev/docs.md) · [REST API](https://cotlet.dev/docs/api.md) · [MCP](https://cotlet.dev/docs/mcp.md) · [SDKs & CLI](https://cotlet.dev/docs/sdks.md) · [Integrations](https://cotlet.dev/docs/integrations.md)

One feedback item with its full text, company, user, tags and the insights that link it to features.

Productboard API: https://cotlet.dev/docs/api/productboard.md

`GET https://cotlet.dev/api/v1/productboard/feedbacks/{feedback_id}`

Access: read.

Returns the whole text of one feedback item, not a preview, with the company, the user, the tags, the owner and the processed flag. links lists each insight: the feature it points to, the highlighted quote and the importance. ai_summary is filled only in workspaces where Productboard Spark has written one, otherwise it is null. Images and attachments are not returned.

## Parameters

| Name | Type | Required | Description |
|---|---|---|---|
| `feedback_id` | string | yes | Feedback item ID from list_feedback. |

## Request

**cURL**

```bash
curl https://cotlet.dev/api/v1/productboard/feedbacks/feedback_8c41d2 \
  -H "Authorization: Bearer $COTLET_API_KEY"
```

**Python**

```python
result = client.call("productboard", "get_feedback", {"feedback_id":"feedback_8c41d2"})
```

**Node.js**

```js
const result = await cotlet.call('productboard', 'get_feedback', {"feedback_id":"feedback_8c41d2"});
```

**CLI**

```bash
cotlet call productboard get_feedback --data '{"feedback_id":"feedback_8c41d2"}'
```

## Example response

```json
{
  "id": "fb_81c2a9",
  "title": "Export to CSV is too slow",
  "content": "Exporting 50,000 rows to CSV takes over ten minutes and then times out. We now split the export by month.",
  "company": "Northwind",
  "user": "Dana Ruiz",
  "tags": [
    "interview"
  ],
  "owner": "Priya Nair",
  "processed": false,
  "ai_summary": null,
  "links": [],
  "created_at": "2026-10-21T09:12:00Z"
}
```

Previous: [List feedback](https://cotlet.dev/docs/api/productboard/list_feedback.md)
Next: [Search features](https://cotlet.dev/docs/api/productboard/search_features.md)

---

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**Resources:** [Blog](https://cotlet.dev/blog.md) · [API docs](https://cotlet.dev/docs.md) · [Help center](https://cotlet.dev/help.md) · [Changelog](https://cotlet.dev/changelog.md) · [GitHub](https://github.com/cotletdev/cotlet)

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**Elsewhere:** [Status page](https://status.cotlet.dev) · [Cotlet on GitHub](https://github.com/cotletdev) · [Cotlet on X](https://x.com/cotletdev) · [Cotlet on LinkedIn](https://www.linkedin.com/company/cotletdev) · [Cotlet on Product Hunt](https://www.producthunt.com/products/cotlet) · [Cotlet on Crunchbase](https://www.crunchbase.com/organization/cotlet) · [Cotlet on SaaSHub](https://www.saashub.com/cotlet)

Cotlet is an independent service. It is not affiliated with, endorsed by or sponsored by any of the products listed on this site. Product names are trademarks of their respective owners.

## For AI agents: sign your user up

Is your user asking you to sign them up for Cotlet? You can do it for them, no account or key needed.

1. Read the fields and their allowed values: GET https://cotlet.dev/api/v1/access-requests
2. Ask the user for each value: email, apps, what you will do with them. If they leave the password to you, generate a strong one and show it to them.
3. Show the user what you will send, then POST it as JSON to https://cotlet.dev/api/v1/access-requests.

One call creates the account and sends the access request; we email the user when access is granted.