1.  Enabling the remote verification of connections required by some results-based financing programs.
   
1.  To learn more about submitting connections and using remote verification, please refer to the Odyssey user guide.
   
2. Enable analytics and visualizations of the data via Odyssey’s Analytics platform; providing insights into the operations across your mini-grid sites or solar home system installations; and joined with other data on the Odyssey platform.
3. Sharing operating data with other users of the Odyssey platform, such as investors or financing program administrators.
   
1. When you share, what you share, and who you share with, is entirely up to you and controllable via the Odyssey Project Sharing User Interface. 

Integration Set-Up

1. An Access Key ID
   
2. A Secret Access Key
   
3. Analytics access in Odyssey

1. Navigate to Analytics > Data Integrations
   
2. On the API Data Integrations tab, click the Create button
   
3. Complete the following data;
   

1. Dataset Name
   
2. Choose ODYSSEY as The Data Provider
   
3. Choose AWS S3 as the Data Source
   
4. Chose Electricity Payments for the Dataset Type
   
5. Choose Target - Select either the Program-Level or Project-level option. This will create one bucket for all of your payment data that will be used for verification. 

If you are integrating your mini-grid data, select the Project-level option. If you are integrating distributed assets (i.e. SHS) select the Program-level option. 

Note:
1. You can download the ELECTRICITY_PAYMENT.csv file by clicking the link 

2. Your IT team is to automatically push your payment data from your CRM using the fields on the CSV file. 

3. Once set up, the integration will run daily, and ingest the file posted to the S3 Bucket specified.

Please note that manual uploads of the CSV file are not allowed

The file must meet the following specifications to be ingested:

1. The file must be saved as a .csv format.

2. The file must be named ELECTRICITY_PAYMENT.csv as shown in the file path

3. The file must contain the header names included in the sample file (see file definition below).

4. You can use the AWS REST APIs to post data to the S3 bucket for each project.

1. https://docs.aws.amazon.com/AmazonS3/latest/API/Welcome.html
   

5. Once the file has been ingested, it will be moved to a sub-directory called Processed ; if there is an error processing the file it will be moved to a sub-directory called Error .

Field Name	Description	Notes
TIMESTAMP	Datetime for the reading	Required Format: YYYY-MM-DD HH24:MI:SS+00:00 Assumes UTC, use the timezone specification to adjust.
ID	Unique ID for the payment	Required
METER_ID	Unique ID for the meter	Required – For remote verification, this must match the external_id value entered in the connections section of the project. Learn more about verification here: https://help.odysseyenergysolutions.com/portal/en/kb/articles/submit-remote-verifie#Complete_Remote_Verification
UTILITY_ID	Unique serial number of the Inverter system
CUSTOMER_ID	Unique for the customer	Required
CUSTOMER NAME	Name of payer	Required
TRANSACTION CHARGES
PAYMENT_SOURCE
REFERENCE_ID	Payment reference ID
PAYMENT_AMOUNT		Required
ACCOUNT_TYPE
STATUS
NOTES
LOCATION	Payment Currency