## List Data Sources

`slas.list_data_sources(strsla_urn)  -> SlaListDataSourcesResponse`

**get** `/v1/slas/{sla_urn}/data-sources`

List all data sources for an SLA

### Parameters

- `sla_urn: str`

### Returns

- `class SlaListDataSourcesResponse: …`

  - `monitor_data_sources: List[MonitorDataSource]`

    A list of any monitor data sources associated with the SLA

    - `description: Optional[str]`

      The monitor's description

    - `name: str`

      The monitor's display name

    - `urn: str`

      A unique identifier for the data source

    - `data_source_type: Optional[Literal["MONITOR"]]`

      The type of the data source

      - `"MONITOR"`

  - `sla_urn: str`

    A unique identifier for the SLA associated with this data source

  - `status_page_data_source: Optional[StatusPageDataSource]`

    The SLA's data source for incidents pulled from vendor status pages, if applicable

    - `excluded_product_tags: List[str]`

      A list of incident tags that are excluded from the SLA's calculations

    - `included_product_tags: List[str]`

      A list of incident tags that are included in the SLA's calculations

    - `urn: str`

      A unique identifier for the data source

    - `data_source_type: Optional[Literal["STATUS_PAGE"]]`

      The type of the data source

      - `"STATUS_PAGE"`

  - `vendor_urn: str`

    A unique identifier for the vendor associated with this data source

### Example

```python
import os
from clarative import Clarative

client = Clarative(
    api_key=os.environ.get("CLARATIVE_API_KEY"),  # This is the default and can be omitted
)
response = client.slas.list_data_sources(
    "sla_urn",
)
print(response.monitor_data_sources)
```