diff --git a/Scripts/API_Tests/add_prop_csv.py b/Scripts/API_Tests/add_prop_to_csv.py
similarity index 100%
rename from Scripts/API_Tests/add_prop_csv.py
rename to Scripts/API_Tests/add_prop_to_csv.py
diff --git a/Scripts/API_Tests/bulk_add_ppl_from_csv.py b/Scripts/API_Tests/bulk_add_ppl_from_csv.py
index 40c0c7ed..baae6aea 100644
--- a/Scripts/API_Tests/bulk_add_ppl_from_csv.py
+++ b/Scripts/API_Tests/bulk_add_ppl_from_csv.py
@@ -5,7 +5,7 @@ import csv
 import Apikeys
 
 pp = pprint.PrettyPrinter(indent=4)
-APIKEY = Apikeys.ZENJOB
+APIKEY = Apikeys.CHUBB
 HEADERS = {
     "accept": "application/json",
     "X-Api-Key": APIKEY,
@@ -21,7 +21,7 @@ def bulk_invite_ppl():
     }
     """
     payload_1 = []
-    with open ("/Users/normrasmussen/Downloads/Zenjob_empoloyees.csv", "r") as csvfile:
+    with open ("/Users/normrasmussen/Downloads/chubb.csv", "r") as csvfile:
         for person in csvfile:
             person = person[:-1]
             miniload = {
diff --git a/Scripts/API_Tests/bulk_invite_and_props.py b/Scripts/API_Tests/bulk_invite_and_props.py
new file mode 100644
index 00000000..2c74e653
--- /dev/null
+++ b/Scripts/API_Tests/bulk_invite_and_props.py
@@ -0,0 +1,103 @@
+import requests
+import json
+import pprint
+import csv
+import pandas as pd
+import Apikeys
+
+pp = pprint.PrettyPrinter(indent=4)
+APIKEY = Apikeys.CHUBB
+HEADERS = {
+    "accept": "application/json",
+    "X-Api-Key": APIKEY,
+}
+BASEURL = "https://api.northpass.com/v2/"
+IMPORTFILE = "/Users/normrasmussen/Downloads/chubb.csv"
+
+
+def bulk_invite_and_group():
+    """
+    Bulk endpoint which invites new people and adds them to a group via this structure:
+    {
+    "email": "me@mac.com"
+    "groups": "GroupA"
+    }
+
+    This function looks for the group in the CSV as well.
+    """
+    df = pd.DataFrame()
+    data = pd.read_csv(IMPORTFILE)
+    groups = data["Group"].unique()
+    groups = list(groups)
+    for group in groups:
+        payload = ""
+        tmp_group = data[data.Group == group]
+        people = list(tmp_group["Email"])
+        group = str(tmp_group["Group"].unique())[2:-2]
+        # print(f"Group --> {group} & Email Length --> {len(people)}")
+        url = f"{BASEURL}bulk/people"
+        if len(people) > 1500:
+            for chunk in range(0, len(people), 1500):
+                i = chunk
+                payload_1 = []
+                i_to_add = people[i : i + 1500]
+                for person in i_to_add:
+                    miniload = {"email": person, "groups": group}
+                    payload_1.append(miniload)
+                print(f"The long length {group} payload has {len(payload_1)}")
+                payload = {"data": {"attributes": {"people": payload_1}}}
+                response = requests.post(url, headers=HEADERS, json=payload)
+                print(f"Completed. Status code is {response.status_code}")
+        else:
+            payload_1 = []
+            for person in people:
+                miniload = {"email": person, "groups": group}
+                payload_1.append(miniload)
+            print(f"The {group} payload has {len(payload_1)}")
+            payload = {"data": {"attributes": {"people": payload_1}}}
+            response = requests.post(url, headers=HEADERS, json=payload)
+            print(f"Completed. Status code is {response.status_code}")
+            print(response.text)
+
+
+def add_props():
+    errorlist = []
+    df = pd.DataFrame()
+    data = pd.read_csv(IMPORTFILE)
+    for dat in data.iterrows():
+        agency_name = dat[1][3]
+        learner_email = dat[1][2]
+        ppl_search = f"{BASEURL}people?filter[email][eq]={learner_email}"
+        ppl_response = requests.get(ppl_search, headers=HEADERS)
+        try:
+            ppl_data = ppl_response.json()
+            nextlink = ppl_data["links"]
+            learner_uuid = ppl_data["data"][0]["id"]
+
+            # Now update the props
+            prop_url = f"{BASEURL}properties/people/bulk"
+            payload = {
+                "data": [
+                    {
+                        "attributes": {"properties": {"agency name": agency_name }},
+                        "id": learner_uuid,
+                        "type": "person_properties",
+                    }
+                ]
+            }
+            propresponse = requests.post(prop_url, json=payload, headers=HEADERS)
+            print(propresponse.status_code)
+            if propresponse.status_code != 200:
+                error_tupe = (learner_uud, learner_email, agency_name)
+                errorlist.append(error_tupe)
+            else:
+                print(f"Looks like {learner_email} and {agency_name} was successful.")
+        except TypeError as e:
+            pass
+        finally:
+            print(f"Error list: {errorlist}")
+
+
+if __name__ == "__main__":
+    # bulk_invite_and_group()
+    add_props()