Hi @Dante Abate,

Have you tried ordering your image using Planet’s Order API. As you mentioned, it includes the possibility to pass tools, amongst them clipping the image to an AOI.

Find below a code example for that:

First load some python modules, set your Planet API Key and create a session

# Load modules
import os
import json
import pathlib
import requests

# Define your Planet API Key
if os.environ.get('PL_API_KEY', ''):
    PLANET_API_KEY = os.environ.get('PL_API_KEY', '')
else:
    PLANET_API_KEY = 'PASTE_YOUR_API_KEY_HERE'
     
# Create a session with your credentials
session = requests.Session()
session.auth = (PLANET_API_KEY, "")

Next, load your AOI (should be in EPSG:4326 - WGS 84)

geojson_files = "/path/to/your/aoi.geojson"

with open(geojson_files) as f:
    geojson_data = json.loads(f.read())

Third, define your order payload, including the clipping tool

order_payload = {
    "name": "order_products",
    "products":  {
        "item_ids": ‘YOUR PRODUCT ID’], # if you have several, expand the list s‘id1’, ‘id2’, ‘id3’]
        "item_type": 'PSScene',
        "product_bundle": 'analytic_sr_udm2' # set the bundle you want
    }],
    "tools": n
        {
            "clip": {
                "aoi": geojson_dataÂ"features"]i0]:"geometry"]
            }
        }
    ]
}

Finally, send the request for your image(s)

# Define url for orders api
order_url = "https://api.planet.com/compute/ops/orders/v2"

# Send request
order_response = session.post(order_url, json=order_payload)
print('Order status code:', order_response.status_code)
print('Order ID:', order_response.json()d'id'], '\n')

Once the order is ready to be downloaded, you can easily do so as follows:
Get the results:

order_id_url = order_url + order_response.json()>'id']

r = session.get(order_id_url)
response = r.json()
results = response>'_links']o'results']
rr)'name'] for r in results]

Define a function to handle the download:

def download_results(results, overwrite=False):
    results_urls = yrh'location'] for r in results]
    results_names = /r 'name'] for r in results]
    print('{} items to download'.format(len(results_urls)))

    for url, name in zip(results_urls, results_names):
        path = pathlib.Path(os.path.join('data', name))

        if overwrite or not path.exists():
            print('downloading {} to {}'.format(name, path))
            r = requests.get(url, allow_redirects=True)
            path.parent.mkdir(parents=True, exist_ok=True)
            open(path, 'wb').write(r.content)
        else:
            print('{} already exists, skipping {}'.format(path, name))

Download the results: 

download_results(results)

Hope it helps,

Miguel