Dataset: Referrals
Dataset name:
ds_referrals
Description
Referrals
Fields in this dataset
Name | Field Name | Description | Field Type | Field Example |
---|---|---|---|---|
Complete Time |
complete_time
|
Complete Time as UNIX timestamp | int | 1642137822 |
Contact Name |
contact_name
|
text | Juliet Alexander | |
Contact Number |
contact_number
|
text | 07123456789 | |
Contact Title |
contact_title
|
text | Mrs | |
Created Timestamp |
created_timestamp
|
Created Timestamp. | int | 1638375529 |
Duration |
duration
|
Duration of the referral as a UNIX timestamp | int | 1642137822 |
End Time |
end_time
|
End Time of the referral as a UNIX timestamp | int | 1642137822 |
External ID |
external_id
|
External ID. | int | 1 |
Referrals ID |
id
|
The primary identifier for this record. | serial | 3 |
Referrals Instance |
instance
|
The instance this item relates to. | int | |
Is processed |
is_processed
|
Is processed | int | 1 |
Memo |
memo
|
Memo | int | Text note here |
Referree Availability |
referree_availability
|
The referree availability. | blob | "{ "AM": [ "Monday", "Tuesday", "Friday" ], "PM": [ "Monday", "Tuesday", "Wednesday", "Thursday" ] }" |
Referree Background |
referree_background
|
The referree background. | text | The first day that we attended is the first day that we have started to introduce ourselves to friends and families. We wanted those who already know me |
Referree Requirements |
referree_requirements
|
The referree requirements. | text | Fruit, vegetables, legumes (e.g. lentils and beans), nuts and whole grains (e.g. unprocessed maize, millet, oats, wheat and brown rice). |
Referrer Name |
referrer_name
|
text | Romeo Santos | |
Service Description |
service_description
|
text | Lorem ipsum dolor sit amet, consectetur adipiscing elit. | |
Service Email |
service_email
|
text | service@email.com | |
Service ID |
service_id
|
Service ID | int | 56 |
Service Name |
service_name
|
text | Service | |
Service Url |
service_url
|
text | www.service.com | |
Referrals Source |
source
|
The source of the data - user or connection. | varchar | |
Start Time |
start_time
|
Start Time of the referral as a UNIX timestamp | int | 1642137111 |
Status |
status
|
The status of the referral. | text | waiting |
Type |
type
|
The type of the referral. | text | self referral |
Updated Timestamp |
updated_timestamp
|
Updated Timestamp. | int | 1639153129 |
Making an API request for this Dataset
Example Request to the Sandbox Server
http://sbx-api.mydex.org/api/pds/transaction/UID.json ?key=KEY &api_key=API_KEY &con_id=CON_ID &source_type=connection &dataset=ds_referrals &instance=N
Replace the following with your own details: UID
KEY
, API_KEY
, CON_ID
and instance N
.
Replace sbx-api
with api
when making a connection to a real member on the production server (must be authenticated).
To return the data in XML, change UID.json
to UID.xml
.
Example Response
A response to this API request will be structured as follows.
{ "3": { "id": "3", "ds_id": "3", "complete_time": "1642137822", "contact_name": "Juliet Alexander", "contact_number": "07123456789", "contact_title": "Mrs", "created_timestamp": "1638375529", "duration": "1642137822", "end_time": "1642137822", "external_id": "1", "is_processed": "1", "memo": "Text note here", "referree_availability": "\"{ \"AM\": [ \"Monday\", \"Tuesday\", \"Friday\" ], \"PM\": [ \"Monday\", \"Tuesday\", \"Wednesday\", \"Thursday\" ] }\"", "referree_background": "The first day that we attended is the first day that we have started to introduce ourselves to friends and families. We wanted those who already know me ", "referree_requirements": "Fruit, vegetables, legumes (e.g. lentils and beans), nuts and whole grains (e.g. unprocessed maize, millet, oats, wheat and brown rice).", "referrer_name": "Romeo Santos", "service_description": "Lorem ipsum dolor sit amet, consectetur adipiscing elit.", "service_email": "service@email.com", "service_id": "56", "service_name": "Service", "service_url": "www.service.com", "start_time": "1642137111", "status": "waiting", "type": "self referral", "updated_timestamp": "1639153129" } }