Datascope Data Source

Datascope
Create a New Data Flow
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To create a new data flow, navigate to the Integrate section, and click the New Data Flow button. Then, select the desired flow type from the list, and click the Create button.
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Select the Datascope connector tile from the list of available connectors. Then, select the credential that will be used to connect to the Datascope account, and click Next; or, create a new Datascope credential for use in this flow.
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In Nexla, Datascope data sources can be created using pre-built endpoint templates, which expedite source setup for common Datascope endpoints. Each template is designed specifically for the corresponding Datascope endpoint, making source configuration easy and efficient.
• To configure this source using a template, follow the instructions in Configure Using a Template.Datascope sources can also be configured manually, allowing you to ingest data from Datascope endpoints not included in the pre-built templates or apply further customizations to exactly suit your needs.
• To configure this source manually, follow the instructions in Configure Manually.
Configure Using a Template
Nexla provides pre-built templates that can be used to rapidly configure data sources to ingest data from common Datascope endpoints. Each template is designed specifically for the corresponding Datascope endpoint, making data source setup easy and efficient.
Endpoint Settings
- Select the endpoint from which this source will fetch data from the Endpoint pulldown menu. Available endpoint templates are listed in the expandable boxes below. Click on an endpoint to see more information about it and how to configure your data source for this endpoint.
Endpoint Testing
Once the selected endpoint template has been configured, Nexla can retrieve a sample of the data that will be fetched according to the current settings. This allows users to verify that the source is configured correctly before saving.
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To test the current endpoint configuration, click the Test button to the right of the endpoint selection menu. Sample data will be fetched & displayed in the Endpoint Test Result panel on the right.
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If the sample data is not as expected, review the selected endpoint and associated settings, and make any necessary adjustments. Then, click the Test button again, and check the sample data to ensure that the correct information is displayed.
Configure Manually
Datascope data sources can be manually configured to ingest data from any valid Datascope External API endpoint. Manual configuration provides maximum flexibility for accessing endpoints not covered by pre-built templates or when you need custom API configurations.
With manual configuration, you can also create more complex Datascope sources, such as sources that apply custom date range filters, additional query parameters, or custom request headers.
API Method
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To manually configure this source, select the Advanced tab at the top of the configuration screen.
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Select the API method that will be used for calls to the Datascope API from the Method pulldown menu. All Datascope External API read endpoints use:
- GET: For retrieving data from the API (used for all Datascope source endpoints)
API Endpoint URL
- Enter the URL of the Datascope External API endpoint from which this source will fetch data in the Set API URL field. All Datascope External API endpoints begin with
https://www.mydatascope.com/api/external/. Some common endpoint URLs are:https://www.mydatascope.com/api/external/locations— List all locationshttps://www.mydatascope.com/api/external/v2/answers— List answers (v2 flat format)https://www.mydatascope.com/api/external/answers— List answers (v1 nested format)https://www.mydatascope.com/api/external/metadata_objects— List metadata objectshttps://www.mydatascope.com/api/external/notifications— List notificationshttps://www.mydatascope.com/api/external/files— List generated fileshttps://www.mydatascope.com/api/external/task_assigns— List task assignmentshttps://www.mydatascope.com/api/external/findings/list— List tickets (findings)
For additional Datascope External API endpoint details and available query parameters, refer to the DataScope API documentation and the DataScope API Reference.
Date/Time Macros (API URL)
Optionally, the API URL can be customized using macros—all macros added to the API URL will be converted into values when Nexla executes the API call. Macros are dynamic placeholders that allow you to create flexible API endpoints that can adapt to different time periods or data requirements.
Date/time macros are particularly useful with Datascope endpoints that accept start and end date query parameters (such as the List Files and List Answers endpoints), allowing Nexla to automatically retrieve only the data that falls within each ingestion window.
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To add a macro, type
{at the appropriate position in the API URL (within the Set API URL field), and select the desired macro from the dropdown list.{now}– The current datetime{now-1}– The datetime one time unit before the current datetime{now+1}– The datetime one time unit after the current datetimecustom– Datetime macros can reference any number of time units before or after the current datetime—for example, enter(now-4)to indicate the datetime four time units before the current datetime
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Select the format that will be applied to datetime macros from the Date Format for Date/Time Macro pulldown menu. The Datascope API uses
yyyy-MM-dddate format for date parameters. -
Select the datetime unit that will be used to perform mathematical operations in the included macro(s) from the Time Unit for Operations pulldown menu—for example, for the macro
{now-1}, whenDayis selected,{now-1}will be converted to the datetime one day before the current datetime.
Lookup-Based Macros (API URL)
Column values from existing lookups can also be included as macros in the API URL. Lookup-based macros allow you to reference data from previously configured data sources or lookups, enabling dynamic API endpoints that can adapt based on existing data.
Lookup-based macros are useful when you need to pass specific Datascope IDs (such as location IDs, form IDs, or user IDs) from another Nexla data source into the API endpoint URL or query string.
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To include a lookup column value macro, select the relevant lookup from the Add Lookups to Supported Macros pulldown menu.
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Type
{at the appropriate position in the API URL, and select the lookup column-based macro from the dropdown list. Lookup-based macros are automatically populated into the macro list when a lookup is selected in the Add Lookups to Supported Macros pulldown menu.
Path to Data
If only a subset of the data returned by the Datascope API endpoint is needed, you can designate which part of the response should be included in the Nexset(s) produced from this source by specifying the path to the relevant data within the response.
For example, the List Task Assigns endpoint returns a response object containing a task_assigns array alongside pagination fields (total, limit, offset). By specifying $.task_assigns[*] as the path to data, you configure Nexla to treat each element of that array as a record.
Most Datascope External API endpoints return a top-level JSON array, so the path to data is typically $[*] (for array responses) or $ (for single-object responses). The List Task Assigns endpoint is an exception, returning $.task_assigns[*].
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To specify which data should be treated as relevant in responses from this source, enter the path to the relevant data in the Set Path to Data in Response field.
- For responses in JSON format, enter the JSON path that points to the object or array that should be treated as relevant data. JSON paths use dot notation (e.g.,
$.data.items[*]to access an array of items within a data object).
Path to Data Example:For a Datascope endpoint that returns a top-level JSON array (such as List Locations or List Answers), enter
$[*]as the path to data. For the List Task Assigns endpoint, enter$.task_assigns[*]. - For responses in JSON format, enter the JSON path that points to the object or array that should be treated as relevant data. JSON paths use dot notation (e.g.,
Autogenerate Path Suggestions
Nexla can also autogenerate data path suggestions based on the response from the API endpoint. These suggested paths can be used as-is or modified to exactly suit your needs.
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To use this feature, click the Test button next to the Set API URL field to fetch a sample response from the API endpoint. Suggested data paths generated based on the content & format of the response will be displayed in the Suggestions box below the Set Path to Data in Response field.
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Click on a suggestion to automatically populate the Set Path to Data in Response field with the corresponding path. The populated path can be modified directly within the field if further customization is needed.

Metadata
If metadata is included in the response but is located outside of the defined path to relevant data, you can configure Nexla to include this data as common metadata in each record. This is useful for preserving contextual information such as pagination totals or request timestamps that apply to all records in the response.
For Datascope endpoints that return pagination fields (such as total, limit, and offset) alongside the data array (e.g., List Task Assigns), you can use the Metadata path to capture these fields and include them with each record.
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To specify the location of metadata that should be included with each record, enter the path to the relevant metadata in the Path to Metadata in Response field.
- For responses in JSON format, enter the JSON path to the object or array that contains the metadata.
Request Headers
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If Nexla should include any additional request headers in API calls to this source, enter the headers & corresponding values as comma-separated pairs in the Request Headers field (e.g.,
header1:value1,header2:value2).You do not need to include the
Authorizationheader here — it is automatically applied from your Datascope credential. The Datascope External API uses theAuthorizationheader for all authentication, which Nexla handles automatically.
Endpoint Testing
After configuring all settings for the selected endpoint, Nexla can retrieve a sample of the data that will be fetched according to the current configuration. This allows users to verify that the source is configured correctly before saving.
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To test the current endpoint configuration, click the Test button to the right of the endpoint selection menu. Sample data will be fetched & displayed in the Endpoint Test Result panel on the right.
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If the sample data is not as expected, review the selected endpoint and associated settings, and make any necessary adjustments. Then, click the Test button again, and check the sample data to ensure that the correct information is displayed.
Save & Activate the Source
- Once all of the relevant steps in the above sections have been completed, click the Create button in the upper right corner of the screen to save and create the new Datascope data source. Nexla will now begin ingesting data from the configured endpoint and will organize any data that it finds into one or more Nexsets.