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API Reference
V1
Screener

Get Screener By ID

v1.screener.get_screener_by_id(strscreener_id) -> ScreenerGetScreenerByIDResponse
GET/v1/saved-screeners/{screener_id}

Get a saved screener configuration by ID.

Returns a single screener configuration for the authenticated user.

ParametersExpand Collapse
screener_id: str
ReturnsExpand Collapse
class ScreenerGetScreenerByIDResponse: …

A saved screener configuration entry

id: str
created_at: datetime
filters: List[SearchFilter]
left: FieldRef

The field to filter on.

name: str

The field name.

lookback: Optional[FieldLookback]

Optional historical lookback window.

One of the following:
"ONE_DAY"
"ONE_WEEK"
"ONE_MONTH"
"THREE_MONTHS"
"SIX_MONTHS"
"YEAR_TO_DATE"
"ONE_YEAR"
period: Optional[FieldPeriod]

Optional reporting period (e.g. quarter or TTM).

One of the following:
"QUARTER"
"TRAILING_TWELVE_MONTHS"
value_type: Optional[FieldType]

The data type of the field value. Present only in responses.

One of the following:
"DECIMAL"
"INTEGER"
"STRING"
"ANALYST_RATING"
"DATE"
op: Optional[FilterOpSpec]

The operator and optional arguments. Omit together with right for an unenabled filter.

The operator to apply.

One of the following:
"LESS_THAN"
"LESS_OR_EQUAL"
"GREATER_THAN"
"GREATER_OR_EQUAL"
"EQUAL"
"BETWEEN"
"NOT_BETWEEN"
"ONE_OF"
"REGEX"
"BEGINS_WITH"
"ENDS_WITH"
"CONTAINS"
"IS_NULL"
"IS_NOT_NULL"
args: Optional[List[OperatorArg]]

Optional arguments that modify operator behavior.

One of the following:
"LEFT_INCLUSIVE"
"RIGHT_INCLUSIVE"
"LEFT_EXCLUSIVE"
"RIGHT_EXCLUSIVE"
"CASE_INSENSITIVE"
right: Optional[List[FilterValue]]

The value(s) to compare against. Omit together with op for an unenabled filter.

value: Optional[Union[float, str, null]]
One of the following:
float
str
variable: Optional[Variable]

A variable reference.

name: str

The variable name.

lookback: Optional[FieldLookback]

Optional historical lookback window.

One of the following:
"ONE_DAY"
"ONE_WEEK"
"ONE_MONTH"
"THREE_MONTHS"
"SIX_MONTHS"
"YEAR_TO_DATE"
"ONE_YEAR"
modifier: Optional[Modifier]

Optional arithmetic modifier.

args: List[Union[float, str]]
One of the following:
float
str

The modifier operation.

One of the following:
"ADD"
"SUBTRACT"
period: Optional[FieldPeriod]

Optional reporting period.

One of the following:
"QUARTER"
"TRAILING_TWELVE_MONTHS"
name: str
updated_at: datetime
columns: Optional[List[FieldRef]]

Field references included when running this screener.

name: str

The field name.

lookback: Optional[FieldLookback]

Optional historical lookback window.

One of the following:
"ONE_DAY"
"ONE_WEEK"
"ONE_MONTH"
"THREE_MONTHS"
"SIX_MONTHS"
"YEAR_TO_DATE"
"ONE_YEAR"
period: Optional[FieldPeriod]

Optional reporting period (e.g. quarter or TTM).

One of the following:
"QUARTER"
"TRAILING_TWELVE_MONTHS"
value_type: Optional[FieldType]

The data type of the field value. Present only in responses.

One of the following:
"DECIMAL"
"INTEGER"
"STRING"
"ANALYST_RATING"
"DATE"
Deprecatedfield_filter: Optional[List[FieldRef]]

Deprecated: use columns instead. Mirrors columns.

name: str

The field name.

lookback: Optional[FieldLookback]

Optional historical lookback window.

One of the following:
"ONE_DAY"
"ONE_WEEK"
"ONE_MONTH"
"THREE_MONTHS"
"SIX_MONTHS"
"YEAR_TO_DATE"
"ONE_YEAR"
period: Optional[FieldPeriod]

Optional reporting period (e.g. quarter or TTM).

One of the following:
"QUARTER"
"TRAILING_TWELVE_MONTHS"
value_type: Optional[FieldType]

The data type of the field value. Present only in responses.

One of the following:
"DECIMAL"
"INTEGER"
"STRING"
"ANALYST_RATING"
"DATE"
sorts: Optional[List[SortSpec]]
field: FieldRef

The field to sort by.

name: str

The field name.

lookback: Optional[FieldLookback]

Optional historical lookback window.

One of the following:
"ONE_DAY"
"ONE_WEEK"
"ONE_MONTH"
"THREE_MONTHS"
"SIX_MONTHS"
"YEAR_TO_DATE"
"ONE_YEAR"
period: Optional[FieldPeriod]

Optional reporting period (e.g. quarter or TTM).

One of the following:
"QUARTER"
"TRAILING_TWELVE_MONTHS"
value_type: Optional[FieldType]

The data type of the field value. Present only in responses.

One of the following:
"DECIMAL"
"INTEGER"
"STRING"
"ANALYST_RATING"
"DATE"
direction: Optional[SortDirection]

Sort direction (defaults to DESC).

One of the following:
"ASC"
"DESC"

Get Screener By ID

from clearstreet import ClearStreet

client = ClearStreet(
    api_key="My API Key",
)
response = client.v1.screener.get_screener_by_id(
    "550e8400-e29b-41d4-a716-446655440000",
)
print(response)
{
  "data": {
    "columns": [
      {
        "name": "symbol"
      },
      {
        "name": "price"
      },
      {
        "name": "market_cap"
      }
    ],
    "created_at": "2026-03-20T14:30:00Z",
    "filters": [
      {
        "left": {
          "name": "market_cap"
        },
        "op": {
          "name": "GTE"
        },
        "right": [
          {
            "value": 1000000000
          }
        ]
      }
    ],
    "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "name": "Tech Large Caps",
    "sorts": [
      {
        "direction": "DESC",
        "field": {
          "name": "market_cap"
        }
      }
    ],
    "updated_at": "2026-03-20T14:30:00Z"
  },
  "error": null,
  "metadata": {
    "request_id": "1a2b3c4d-5e6f-7890-1234-5a6b7c8d9e0f"
  }
}
{
  "error": {
    "code": 400,
    "message": "Cannot parse `screener_id` with value `123`: UUID parsing failed: invalid length: expected length 32 for simple format, found 3"
  },
  "metadata": {
    "request_id": "1940e272-8ce1-41bf-ad3e-7e2a9fd9c4df"
  }
}
{
  "error": {
    "code": 404,
    "message": "Some requested entity was not found"
  },
  "metadata": {
    "request_id": "cb63a84c-6b39-4c37-bfdd-588b8256c7ea"
  }
}
Returns Examples
{
  "data": {
    "columns": [
      {
        "name": "symbol"
      },
      {
        "name": "price"
      },
      {
        "name": "market_cap"
      }
    ],
    "created_at": "2026-03-20T14:30:00Z",
    "filters": [
      {
        "left": {
          "name": "market_cap"
        },
        "op": {
          "name": "GTE"
        },
        "right": [
          {
            "value": 1000000000
          }
        ]
      }
    ],
    "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "name": "Tech Large Caps",
    "sorts": [
      {
        "direction": "DESC",
        "field": {
          "name": "market_cap"
        }
      }
    ],
    "updated_at": "2026-03-20T14:30:00Z"
  },
  "error": null,
  "metadata": {
    "request_id": "1a2b3c4d-5e6f-7890-1234-5a6b7c8d9e0f"
  }
}
{
  "error": {
    "code": 400,
    "message": "Cannot parse `screener_id` with value `123`: UUID parsing failed: invalid length: expected length 32 for simple format, found 3"
  },
  "metadata": {
    "request_id": "1940e272-8ce1-41bf-ad3e-7e2a9fd9c4df"
  }
}
{
  "error": {
    "code": 404,
    "message": "Some requested entity was not found"
  },
  "metadata": {
    "request_id": "cb63a84c-6b39-4c37-bfdd-588b8256c7ea"
  }
}