---
title: REST API Requests
sidebar_position: 8
description: How to send requests to the OpenBB Platform REST API.
keywords:
- tutorial
- OpenBB Platform
- Python client
- Fast API
- getting started
- requests
- data providers
---


Most REST API endpoints are for data retrieval and are defined as `GET` requests, but some [toolkit extensions](/platform/user_guides/extensions) require data to pass through the function. In these instances, it must be a `POST` request.

### Example

This example will use a GET request to fetch daily VIX data from the Cboe data extension, and then make a POST request which passes through the data to a technical analysis function.

First, start a development server.

```bash
uvicorn openbb_core.api.rest_api:app --reload
```

This example will use Python and the `requests` library.

#### Fetch Some Data

```python
import requests

get_url = "http://127.0.0.1:8000/api/v1/index/price/historical?provider=cboe&symbol=vix&interval=1d"
get_response = requests.get(get_url)
data_results = get_response.json()["results"]

data_results[-1]
```

```json
{'date': '2023-11-17T00:00:00',
 'open': 14.18,
 'high': 14.19,
 'low': 13.67,
 'close': 13.79,
 'volume': 0,
 'calls_volume': None,
 'puts_volume': None,
 'total_options_volume': None}
```

#### Send a POST Request

Next, pass the `data_results` to a function, using the `json` field in the POST headers.

For this example, realized volatility cones, the default parameters assume the time series data is daily and that volatility should be annualized over 252 trading days.

```python
import pandas as pd

post_url = "http://localhost:8000/api/v1/technical/cones"
post_response = requests.post(post_url, json=data_results)
ta_results = post_response.json()["results"]

pd.DataFrame.from_records(ta_results).head()
```

|   window |   realized |        min |   lower_25% |   median |   upper_75% |     max |
|---------:|-----------:|-----------:|------------:|---------:|------------:|--------:|
|        3 |   0.396165 | 0.00701638 |    0.444709 | 0.72414  |     1.11563 | 8.47636 |
|       10 |   0.623199 | 0.190188   |    0.665584 | 0.852915 |     1.15491 | 4.83264 |
|       30 |   0.988435 | 0.332913   |    0.750007 | 0.921482 |     1.17072 | 2.98404 |
|       60 |   0.932594 | 0.47639    |    0.792548 | 0.964617 |     1.20171 | 2.35563 |
|       90 |   0.915137 | 0.551011   |    0.815229 | 0.965553 |     1.2128  | 2.04104 |

The output from the Fast API is a serialized version of this object, and these methods are lost on conversion. OBBject can be reconstructed to recover the helpers by importing the model and validating the data.

```python
import requests
from openbb_core.app.model.obbject import OBBject

data = []
symbol="SPY"
url = f"http://127.0.0.1:8000/api/v1/equity/price/historical?provider=polygon&symbol={symbol}"
headers = {"accept": "application/json"}

response = requests.get(url, headers=headers, timeout=3)

if response.status_code == 200:
  data = OBBject.model_validate(response.json())

data.to_df()
```