diff --git a/openbb_platform/core/openbb_core/provider/standard_models/composite_leading_indicator.py b/openbb_platform/core/openbb_core/provider/standard_models/composite_leading_indicator.py
new file mode 100644
index 00000000000..395e6ae3751
--- /dev/null
+++ b/openbb_platform/core/openbb_core/provider/standard_models/composite_leading_indicator.py
@@ -0,0 +1,37 @@
+"""Composite Leading Indicator Standard Model."""
+
+from datetime import date as dateType
+from typing import Optional
+
+from pydantic import Field
+
+from openbb_core.provider.abstract.data import Data
+from openbb_core.provider.abstract.query_params import QueryParams
+from openbb_core.provider.utils.descriptions import (
+    DATA_DESCRIPTIONS,
+    QUERY_DESCRIPTIONS,
+)
+
+
+class CLIQueryParams(QueryParams):
+    """Composite Leading Indicator Query."""
+
+    start_date: Optional[dateType] = Field(
+        default=None, description=QUERY_DESCRIPTIONS.get("start_date")
+    )
+    end_date: Optional[dateType] = Field(
+        default=None, description=QUERY_DESCRIPTIONS.get("end_date")
+    )
+
+
+class CLIData(Data):
+    """Composite Leading Indicator Data."""
+
+    date: Optional[dateType] = Field(
+        default=None, description=DATA_DESCRIPTIONS.get("date")
+    )
+    value: Optional[float] = Field(default=None, description="CLI value")
+    country: Optional[str] = Field(
+        default=None,
+        description="Country for which CLI is given",
+    )
diff --git a/openbb_platform/core/openbb_core/provider/standard_models/long_term_interest_rate.py b/openbb_platform/core/openbb_core/provider/standard_models/long_term_interest_rate.py
new file mode 100644
index 00000000000..713991e64e3
--- /dev/null
+++ b/openbb_platform/core/openbb_core/provider/standard_models/long_term_interest_rate.py
@@ -0,0 +1,40 @@
+"""Long Term Interest Rates Standard Model."""
+
+from datetime import date as dateType
+from typing import Optional
+
+from pydantic import Field
+
+from openbb_core.provider.abstract.data import Data
+from openbb_core.provider.abstract.query_params import QueryParams
+from openbb_core.provider.utils.descriptions import (
+    DATA_DESCRIPTIONS,
+    QUERY_DESCRIPTIONS,
+)
+
+
+class LTIRQueryParams(QueryParams):
+    """Long Term Interest Rates Query."""
+
+    start_date: Optional[dateType] = Field(
+        default=None, description=QUERY_DESCRIPTIONS.get("start_date")
+    )
+    end_date: Optional[dateType] = Field(
+        default=None, description=QUERY_DESCRIPTIONS.get("end_date")
+    )
+
+
+class LTIRData(Data):
+    """Long Term Interest Rates Data."""
+
+    date: Optional[dateType] = Field(
+        default=None, description=DATA_DESCRIPTIONS.get("date")
+    )
+    value: Optional[float] = Field(
+        default=None,
+        description="Interest rate (given as a whole number, i.e 10=10%)",
+    )
+    country: Optional[str] = Field(
+        default=None,
+        description="Country for which interest rate is given",
+    )
diff --git a/openbb_platform/core/openbb_core/provider/standard_models/short_term_interest_rate.py b/openbb_platform/core/openbb_core/provider/standard_models/short_term_interest_rate.py
new file mode 100644
index 00000000000..87bfd6c5b1e
--- /dev/null
+++ b/openbb_platform/core/openbb_core/provider/standard_models/short_term_interest_rate.py
@@ -0,0 +1,40 @@
+"""Short Term Interest Rates Standard Model."""
+
+from datetime import date as dateType
+from typing import Optional
+
+from pydantic import Field
+
+from openbb_core.provider.abstract.data import Data
+from openbb_core.provider.abstract.query_params import QueryParams
+from openbb_core.provider.utils.descriptions import (
+    DATA_DESCRIPTIONS,
+    QUERY_DESCRIPTIONS,
+)
+
+
+class STIRQueryParams(QueryParams):
+    """Short Term Interest Rates Query."""
+
+    start_date: Optional[dateType] = Field(
+        default=None, description=QUERY_DESCRIPTIONS.get("start_date")
+    )
+    end_date: Optional[dateType] = Field(
+        default=None, description=QUERY_DESCRIPTIONS.get("end_date")
+    )
+
+
+class STIRData(Data):
+    """Short Term Interest Rates Data."""
+
+    date: Optional[dateType] = Field(
+        default=None, description=DATA_DESCRIPTIONS.get("date")
+    )
+    value: Optional[float] = Field(
+        default=None,
+        description="Interest rate (given as a whole number, i.e 10=10%)",
+    )
+    country: Optional[str] = Field(
+        default=None,
+        description="Country for which interest rate is given",
+    )
diff --git a/openbb_platform/core/openbb_core/provider/standard_models/unemployment.py b/openbb_platform/core/openbb_core/provider/standard_models/unemployment.py
new file mode 100644
index 00000000000..2091aff51c4
--- /dev/null
+++ b/openbb_platform/core/openbb_core/provider/standard_models/unemployment.py
@@ -0,0 +1,40 @@
+"""Unemployment Standard Model."""
+
+from datetime import date as dateType
+from typing import Optional
+
+from pydantic import Field
+
+from openbb_core.provider.abstract.data import Data
+from openbb_core.provider.abstract.query_params import QueryParams
+from openbb_core.provider.utils.descriptions import (
+    DATA_DESCRIPTIONS,
+    QUERY_DESCRIPTIONS,
+)
+
+
+class UnemploymentQueryParams(QueryParams):
+    """Unemployment Query."""
+
+    start_date: Optional[dateType] = Field(
+        default=None, description=QUERY_DESCRIPTIONS.get("start_date")
+    )
+    end_date: Optional[dateType] = Field(
+        default=None, description=QUERY_DESCRIPTIONS.get("end_date")
+    )
+
+
+class UnemploymentData(Data):
+    """Unemployment Data."""
+
+    date: Optional[dateType] = Field(
+        default=None, description=DATA_DESCRIPTIONS.get("date")
+    )
+    value: Optional[float] = Field(
+        default=None,
+        description="Unemployment rate (given as a whole number, i.e 10=10%)",
+    )
+    country: Optional[str] = Field(
+        default=None,
+        description="Country for which unemployment rate is given",
+    )
diff --git a/openbb_platform/extensions/economy/integration/test_economy_api.py b/openbb_platform/extensions/economy/integration/test_economy_api.py
index b11ff434b87..0ba2eb5ca7b 100644
--- a/openbb_platform/extensions/economy/integration/test_economy_api.py
+++ b/openbb_platform/extensions/economy/integration/test_economy_api.py
@@ -372,3 +372,109 @@ def test_economy_money_measures(params, headers):
     result = requests.get(url, headers=headers, timeout=10)
     assert isinstance(result, requests.Response)
     assert result.status_code == 200
+
+
+@parametrize(
+    "params",
+    [
+        ({"start_date": "2023-01-01", "end_date": "2023-06-06"}),
+        (
+            {
+                "country": "united_states",
+                "sex": "total",
+                "frequency": "monthly",
+                "age": "total",
+                "seasonal_adjustment": True,
+                "provider": "oecd",
+                "start_date": "2023-01-01",
+                "end_date": "2023-06-06",
+            }
+        ),
+    ],
+)
+@pytest.mark.integration
+def test_economy_unemployment(params, headers):
+    params = {p: v for p, v in params.items() if v}
+
+    query_str = get_querystring(params, [])
+    url = f"http://0.0.0.0:8000/api/v1/economy/unemployment?{query_str}"
+    result = requests.get(url, headers=headers, timeout=10)
+    assert isinstance(result, requests.Response)
+    assert result.status_code == 200
+
+
+@parametrize(
+    "params",
+    [
+        ({"start_date": "2023-01-01", "end_date": "2023-06-06"}),
+        (
+            {
+                "country": "united_states",
+                "provider": "oecd",
+                "start_date": "2023-01-01",
+                "end_date": "2023-06-06",
+            }
+        ),
+    ],
+)
+@pytest.mark.integration
+def test_economy_composite_leading_indicator(params, headers):
+    params = {p: v for p, v in params.items() if v}
+
+    query_str = get_querystring(params, [])
+    url = f"http://0.0.0.0:8000/api/v1/economy/composite_leading_indicator?{query_str}"
+    result = requests.get(url, headers=headers, timeout=10)
+    assert isinstance(result, requests.Response)
+    assert result.status_code == 200
+
+
+@parametrize(
+    "params",
+    [
+        ({"start_date": "2023-01-01", "end_date": "2023-06-06"}),
+        (
+            {
+                "country": "united_states",
+                "frequency": "monthly",
+                "provider": "oecd",
+                "start_date": "2023-01-01",
+                "end_date": "2023-06-06",
+            }
+        ),
+    ],
+)
+@pytest.mark.integration
+def test_economy_short_term_interest_rate(params, headers):
+    params = {p: v for p, v in params.items() if v}
+
+    query_str = get_querystring(params, [])
+    url = f"http://0.0.0.0:8000/api/v1/economy/short_term_interest_rate?{query_str}"
+    result = requests.get(url, headers=headers, timeout=10)
+    assert isinstance(result, requests.Response)
+    assert result.status_code == 200
+
+
+@parametrize(
+    "params",
+    [
+        ({"start_date": "2023-01-01", "end_date": "2023-06-06"}),
+        (
+            {
+                "country": "united_states",
+                "frequency": "monthly",
+                "provider": "oecd",
+                "start_date": "2023-01-01",
+                "end_date": "2023-06-06",
+            }
+        ),
+    ],
+)
+@pytest.mark.integration
+def test_economy_long_term_interest_rate(params, headers):
+    params = {p: v for p, v in params.items() if v}
+
+    query_str = get_querystring(params, [])
+    url = f"http://0.0.0.0:8000/api/v1/economy/long_term_interest_rate?{query_str}"
+    result = requests.get(url, headers=headers, timeout=10)
+    assert isinstance(result, requests.Response)
+    assert result.status_code == 200
diff --git a/openbb_platform/extensions/economy/integration/test_economy_python.py b/openbb_platform/extensions/economy/integration/test_economy_python.py
index 01fcd4421ca..d7e5dbf64fd 100644
--- a/openbb_platform/extensions/economy/integration/test_economy_python.py
+++ b/openbb_platform/extensions/economy/integration/test_economy_python.py
@@ -328,3 +328,105 @@ def test_economy_money_measures(params, obb):
     assert result
     assert isinstance(result, OBBject)
     assert len(result.results) > 0
+
+
+@parametrize(
+    "params",
+    [
+        ({"start_date": "2023-01-01", "end_date": "2023-06-06"}),
+        (
+            {
+                "country": "united_states",
+                "sex": "total",
+                "frequency": "monthly",
+                "age": "total",
+                "seasonal_adjustment": True,
+                "provider": "oecd",
+                "start_date": "2023-01-01",
+                "end_date": "2023-06-06",
+            }
+        ),
+    ],
+)
+@pytest.mark.integration
+def test_economy_unemployment(params, obb):
+    params = {p: v for p, v in params.items() if v}
+
+    result = obb.economy.unemployment(**params)
+    assert result
+    assert isinstance(result, OBBject)
+    assert len(result.results) > 0
+
+
+@parametrize(
+    "params",
+    [
+        ({"start_date": "2023-01-01", "end_date": "2023-06-06"}),
+        (
+            {
+                "country": "united_states",
+                "provider": "oecd",
+                "start_date": "2023-01-01",
+                "end_date": "2023-06-06",
+            }
+        ),
+    ],
+)
+@pytest.mark.integration
+def test_economy_composite_leading_indicator(params, obb):
+    params = {p: v for p, v in params.items() if v}
+
+    result = obb.economy.composite_leading_indicator(**params)
+    assert result
+    assert isinstance(result, OBBject)
+    assert len(result.results) > 0
+
+
+@parametrize(
+    "params",
+    [
+        ({"start_date": "2023-01-01", "end_date": "2023-06-06"}),
+        (
+            {
+                "country": "united_states",
+                "frequency": "monthly",
+                "provider": "oecd",
+                "start_date": "2023-01-01",
+                "end_date": "2023-06-06",
+            }
+        ),
+    ],
+)
+@pytest.mark.integration
+def test_economy_short_term_interest_rate(params, obb):
+    params = {p: v for p, v in params.items() if v}
+
+    result = obb.economy.short_term_interest_rate(**params)
+    assert result
+    assert isinstance(result, OBBject)
+    assert len(result.results) > 0
+
+
+@parametrize(
+    "params",
+    [
+        ({"start_date": "2023-01-01", "end_date": "2023-06-06"}),
+        (
+            {
+                "country": "united_states",
+                "frequency": "monthly",
+                "provider": "oecd",
+                "start_date": "2023-01-01",
+                "end_date": "2023-06-06",
+            }
+        ),
+    ],
+)
+@pytest.mark.integration
+def test_economy_long_term_interest_rate(params, obb):
+    params = {p: v for p, v in params.items() if v}
+
+    result = obb.economy.long_term_interest_rate(**params)
+    assert result
+    assert isinstance(result, OBBject)
+    assert len(result.results) > 0
diff --git a/openbb_platform/extensions/economy/openbb_economy/economy_router.py b/openbb_platform/extensions/economy/openbb_economy/economy_router.py
index 12573883727..a97bc2adfbc 100644
--- a/openbb_platform/extensions/economy/openbb_economy/economy_router.py
+++ b/openbb_platform/extensions/economy/openbb_economy/economy_router.py
@@ -96,5 +96,67 @@ async def money_measures(
     standard_params: StandardParams,
     extra_params: ExtraParams,
 ) -> OBBject[BaseModel]:
-    """Money Measures."""
+    """Money Measures (M1/M2 and components)."""
+    return await OBBject.from_query(Query(**locals()))
+
+
+@router.command(model="Unemployment")
+async def unemployment(
+    cc: CommandContext,
+    provider_choices: ProviderChoices,
+    standard_params: StandardParams,
+    extra_params: ExtraParams,
+) -> OBBject[BaseModel]:
+    """Global unemployment data."""
+    return await OBBject.from_query(Query(**locals()))
+
+
+@router.command(model="CLI")
+async def composite_leading_indicator(
+    cc: CommandContext,
+    provider_choices: ProviderChoices,
+    standard_params: StandardParams,
+    extra_params: ExtraParams,
+) -> OBBject[BaseModel]:
+    """The composite leading indicator (CLI) is designed to provide early signals of turning points
+    in business cycles showing fluctuation of the economic activity around its long term potential level.
+    CLIs show short-term economic movements in qualitative rather than quantitative terms.
+    """
+    return await OBBject.from_query(Query(**locals()))
+
+
+@router.command(model="STIR")
+async def short_term_interest_rate(
+    cc: CommandContext,
+    provider_choices: ProviderChoices,
+    standard_params: StandardParams,
+    extra_params: ExtraParams,
+) -> OBBject[BaseModel]:
+    """
+    Short-term interest rates are the rates at which short-term borrowings are effected between
+    financial institutions or the rate at which short-term government paper is issued or traded in the market.
+    Short-term interest rates are generally averages of daily rates, measured as a percentage.
+    Short-term interest rates are based on three-month money market rates where available.
+    Typical standardised names are "money market rate" and "treasury bill rate".
+    """
+    return await OBBject.from_query(Query(**locals()))
+
+
+@router.command(model="STIR")
+async def long_term_interest_rate(
+    cc: CommandContext,
+    provider_choices: ProviderChoices,
+    standard_params: StandardParams,
+    extra_params: ExtraParams,
+) -> OBBject[BaseModel]:
+    """
+    Long-term interest rates refer to government bonds maturing in ten years.
+    Rates are mainly determined by the price charged by the lender, the risk from the borrower and the
+    fall in the capital value. Long-term interest rates are generally averages of daily rates,
+    measured as a percentage. These interest rates are implied by the prices at which the government bonds are
+    traded on financial markets, not the interest rates at which the loans were issued.
+    In all cases, they refer to bonds whose capital repayment is guaranteed by governments.
+    Long-term interest rates are one of the determinants of business investment.
+    Low long-term interest rates encourage investment in new equipment and high interest rates discourage it.
+    Investment is, in turn, a major source of economic growth."""
     return await OBBject.from_query(Query(**locals()))
diff --git a/openbb_platform/openbb/package/economy.py b/openbb_platform/openbb/package/economy.py
index de1285f8335..2317d0ab163 100644
--- a/openbb_platform/openbb/package/economy.py
+++ b/openbb_platform/openbb/package/economy.py
@@ -20,6 +20,7 @@ class ROUTER_economy(Container):
     /gdp
     money_measures
     risk_premium
+    unemployment
     """
 
     def __repr__(self) -> str:
@@ -571,7 +572,7 @@ class ROUTER_economy(Container):
         provider: Optional[Literal["federal_reserve"]] = None,
         **kwargs
     ) -> OBBject:
-        """Money Measures.
+        """Money Measures (M1/M2 and components.
 
         Parameters
         ----------
@@ -694,3 +695,87 @@ class ROUTER_economy(Container):
                 extra_params=kwargs,
             )
         )
+
+    @validate
+    def unemployment(
+        self,
+        start_date: Annotated[
+            Union[datetime.date, None, str],
+            OpenBBCustomParameter(
+                description="Start date of the data, in YYYY-MM-DD format."
+            ),
+        ] = None,
+        end_date: Annotated[
+            Union[datetime.date, None, str],
+            OpenBBCustomParameter(
+                description="End date of the data, in YYYY-MM-DD format."
+            ),
+        ] = None,
+        provider: Optional[Literal["oecd"]] = None,
+        **kwargs
+    ) -> OBBject:
+        """Global unemployment data.
+
+        Parameters
+        ----------
+        start_date : Optional[datetime.date]
+            Start date of the data, in YYYY-MM-DD format.
+        end_date : Optional[datetime.date]
+            End date of the data, in YYYY-MM-DD format.
+        provider : Optional[Literal['oecd']]
+            The provider to use for the query, by default None.
+            If None, the provider specified in defaults is selected or 'oecd' if there is
+            no default.
+        country : Literal['colombia', 'new_zealand', 'united_kingdom', 'italy', 'luxembourg', 'euro_area19', 'sweden', 'oecd', 'south_africa', 'denmark', 'canada', 'switzerland', 'slovakia', 'hungary', 'portugal', 'spain', 'france', 'czech_republic', 'costa_rica', 'japan', 'slovenia', 'russia', 'austria', 'latvia', 'netherlands', 'israel', 'iceland', 'united_states', 'ireland', 'mexico', 'germany', 'greece', 'turkey', 'australia', 'poland', 'south_korea', 'chile', 'finland', 'european_union27_2020', 'norway', 'lithuania', 'euro_area20', 'estonia', 'belgium', 'brazil', 'indonesia', 'all']
+            Country to get GDP for. (provider: oecd)
+        sex : Literal['total', 'male', 'female']
+            Sex to get unemployment for. (provider: oecd)
+        frequency : Literal['monthly', 'quarterly', 'annual']
+            Frequency to get unemployment for. (provider: oecd)
+        age : Literal['total', '15-24', '15-64', '25-54', '55-64']
+            Age group to get unemployment for. Total indicates 15 years or over (provider: oecd)
+        seasonal_adjustment : bool
+            Whether to get seasonally adjusted unemployment. Defaults to False. (provider: oecd)
+
+        Returns
+        -------
+        OBBject
+            results : List[Unemployment]
+                Serializable results.
+            provider : Optional[Literal['oecd']]
+                Provider name.
+            warnings : Optional[List[Warning_]]
+                List of warnings.
+            chart : Optional[Chart]
+                Chart object.
+            extra: Dict[str, Any]
+                Extra info.
+
+        Unemployment
+        ------------
+        date : Optional[date]
+            The date of the data.
+        value : Optional[float]
+            Unemployment rate (given as a whole number, i.e 10=10%)
+        country : Optional[str]
+            Country for which unemployment rate is given
+
+        Example
+        -------
+        >>> from openbb import obb
+        >>> obb.economy.unemployment()
+        """  # noqa: E501
+
+        return self._run(
+            "/economy/unemployment",
+            **filter_inputs(
+                provider_choices={
+                    "provider": provider,
+                },
+                standard_params={
+                    "start_date": start_date,
+                    "end_date": end_date,
+                },
+                extra_params=kwargs,
+            )
+        )
diff --git a/openbb_platform/providers/oecd/openbb_oecd/__init__.py b/openbb_platform/providers/oecd/openbb_oecd/__init__.py
index 5e76733533e..441779ba373 100644
--- a/openbb_platform/providers/oecd/openbb_oecd/__init__.py
+++ b/openbb_platform/providers/oecd/openbb_oecd/__init__.py
@@ -1,9 +1,13 @@
-"""FRED provider module."""
+"""OECD provider module."""
 
 from openbb_core.provider.abstract.provider import Provider
+from openbb_oecd.models.composite_leading_indicator import OECDCLIFetcher
 from openbb_oecd.models.gdp_forecast import OECDGdpForecastFetcher
 from openbb_oecd.models.gdp_nominal import OECDGdpNominalFetcher
 from openbb_oecd.models.gdp_real import OECDGdpRealFetcher
+from openbb_oecd.models.long_term_interest_rate import OECDLTIRFetcher
+from openbb_oecd.models.short_term_interest_rate import OECDSTIRFetcher
+from openbb_oecd.models.unemployment import OECDUnemploymentFetcher
 
 oecd_provider = Provider(
     name="oecd",
@@ -13,5 +17,9 @@ oecd_provider = Provider(
         "GdpNominal": OECDGdpNominalFetcher,
         "GdpReal": OECDGdpRealFetcher,
         "GdpForecast": OECDGdpForecastFetcher,
+        "Unemployment": OECDUnemploymentFetcher,
+        "CLI": OECDCLIFetcher,
+        "STIR": OECDSTIRFetcher,
+        "LTIR": OECDLTIRFetcher,
     },
 )
diff --git a/openbb_platform/providers/oecd/openbb_oecd/models/composite_leading_indicator.py b/openbb_platform/providers/oecd/openbb_oecd/models/composite_leading_indicator.py
new file mode 100644
index 00000000000..956fdb90c21
--- /dev/null
+++ b/openbb_platform/providers/oecd/openbb_oecd/models/composite_leading_indicator.py
@@ -0,0 +1,130 @@
+"""OECD CLI Data."""
+
+import re
+from datetime import date, timedelta
+from typing import Any, Dict, List, Literal, Optional, Union
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.composite_leading_indicator import (
+    CLIData,
+    CLIQueryParams,
+)
+from openbb_oecd.utils import helpers
+from pydantic import Field, field_validator
+
+cli_mapping = {
+    "USA": "united_states",
+    "GBR": "united_kingdom",
+    "JPN": "japan",
+    "MEX": "mexico",
+    "IDN": "indonesia",
+    "AUS": "australia",
+    "BRA": "brazil",
+    "CAN": "canada",
+    "ITA": "italy",
+    "DEU": "germany",
+    "TUR": "turkey",
+    "FRA": "france",
+    "ZAF": "south_africa",
+    "KOR": "south_korea",
+    "ESP": "spain",
+    "IND": "india",
+    "CHN": "china",
+    "G7": "g7",
+    "G20": "g20",
+}
+
+
+countries = tuple(cli_mapping.values()) + ("all",)
+CountriesLiteral = Literal[countries]  # type: ignore
+country_to_code = {v: k for k, v in cli_mapping.items()}
+
+
+class OECDCLIQueryParams(CLIQueryParams):
+    """OECD CLI Query."""
+
+    country: CountriesLiteral = Field(
+        description="Country to get GDP for.", default="united_states"
+    )
+
+
+class OECDCLIData(CLIData):
+    """OECD CLI Data."""
+
+    @field_validator("date", mode="before")
+    @classmethod
+    def date_validate(cls, in_date: Union[date, str]):  # pylint: disable=E0213
+        """Validate value."""
+        if isinstance(in_date, str):
+            # i.e 2022-Q1
+            if re.match(r"\d{4}-Q[1-4]$", in_date):
+                year, quarter = in_date.split("-")
+                _year = int(year)
+                if quarter == "Q1":
+                    return date(_year, 3, 31)
+                if quarter == "Q2":
+                    return date(_year, 6, 30)
+                if quarter == "Q3":
+                    return date(_year, 9, 30)
+                if quarter == "Q4":
+                    return date(_year, 12, 31)
+            # Now match if it is monthly, i.e 2022-01
+            elif re.match(r"\d{4}-\d{2}$", in_date):
+                year, month = map(int, in_date.split("-"))
+                if month == 12:
+                    return date(year, month, 31)
+                next_month = date(year, month + 1, 1)
+                return date(next_month.year, next_month.month, 1) - timedelta(days=1)
+            # Now match if it is yearly, i.e 2022
+            elif re.match(r"\d{4}$", in_date):
+                return date(int(in_date), 12, 31)
+        # If the input date is a year
+        if isinstance(in_date, int):
+            return date(in_date, 12, 31)
+
+        return in_date
+
+
+class OECDCLIFetcher(Fetcher[OECDCLIQueryParams, List[OECDCLIData]]):
+    """Transform the query, extract and transform the data from the OECD endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> OECDCLIQueryParams:
+        """Transform the query."""
+        transformed_params = params.copy()
+        if transformed_params["start_date"] is None:
+            transformed_params["start_date"] = date(1950, 1, 1)
+        if transformed_params["end_date"] is None:
+            transformed_params["end_date"] = date(date.today().year, 12, 31)
+
+        return OECDCLIQueryParams(**transformed_params)
+
+    @staticmethod
+    def extract_data(
+        query: OECDCLIQueryParams,  # pylint: disable=W0613
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> Dict:
+        """Return the raw data from the OECD endpoint."""
+        url = "https://sdmx.oecd.org/public/rest/data/OECD.SDD.STES,DSD_KEI@DF_KEI,4.0/..LI...."
+        data = helpers.get_possibly_cached_data(
+            url, function="economy_composite_leading_indicator"
+        )
+
+        if query.country != "all":
+            data = data.query(f"REF_AREA == '{country_to_code[query.country]}'")
+
+        # Filter down
+        data = data.reset_index(drop=True)[["REF_AREA", "TIME_PERIOD", "VALUE"]].rename(
+            columns={"REF_AREA": "country", "TIME_PERIOD": "date", "VALUE": "value"}
+        )
+        data["country"] = data["country"].map(cli_mapping)
+
+        return data.to_dict(orient="records")
+
+    @staticmethod
+    def transform_data(
+        query: OECDCLIQueryParams, data: Dict, **kwargs: Any
+    ) -> List[OECDCLIData]:
+        """Transform the data from the OECD endpoint."""
+        return [OECDCLIData.model_validate(d) for d in data]
diff --git a/openbb_platform/providers/oecd/openbb_oecd/models/long_term_interest_rate.py b/openbb_platform/providers/oecd/openbb_oecd/models/long_term_interest_rate.py
new file mode 100644
index 00000000000..b889645ea6a
--- /dev/null
+++ b/openbb_platform/providers/oecd/openbb_oecd/models/long_term_interest_rate.py
@@ -0,0 +1,163 @@
+"""OECD Long Term Interest Rate Rate Data."""
+
+import re
+from datetime import date, timedelta
+from typing import Any, Dict, List, Literal, Optional, Union
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.long_term_interest_rate import (
+    LTIRData,
+    LTIRQueryParams,
+)
+from openbb_oecd.utils import helpers
+from pydantic import Field, field_validator
+
+ltir_mapping = {
+    "BEL": "belgium",
+    "IRL": "ireland",
+    "MEX": "mexico",
+    "IDN": "indonesia",
+    "NZL": "new_zealand",
+    "JPN": "japan",
+    "GBR": "united_kingdom",
+    "FRA": "france",
+    "CHL": "chile",
+    "CAN": "canada",
+    "NLD": "netherlands",
+    "USA": "united_states",
+    "KOR": "south_korea",
+    "NOR": "norway",
+    "AUT": "austria",
+    "ZAF": "south_africa",
+    "DNK": "denmark",
+    "CHE": "switzerland",
+    "HUN": "hungary",
+    "LUX": "luxembourg",
+    "AUS": "australia",
+    "DEU": "germany",
+    "SWE": "sweden",
+    "ISL": "iceland",
+    "TUR": "turkey",
+    "GRC": "greece",
+    "ISR": "israel",
+    "CZE": "czech_republic",
+    "LVA": "latvia",
+    "SVN": "slovenia",
+    "POL": "poland",
+    "EST": "estonia",
+    "LTU": "lithuania",
+    "PRT": "portugal",
+    "CRI": "costa_rica",
+    "SVK": "slovakia",
+    "FIN": "finland",
+    "ESP": "spain",
+    "RUS": "russia",
+    "EA19": "euro_area19",
+    "COL": "colombia",
+    "ITA": "italy",
+    "IND": "india",
+    "CHN": "china",
+    "HRV": "croatia",
+}
+
+countries = tuple(ltir_mapping.values()) + ("all",)
+CountriesLiteral = Literal[countries]  # type: ignore
+country_to_code = {v: k for k, v in ltir_mapping.items()}
+
+
+class OECDLTIRQueryParams(LTIRQueryParams):
+    """OECD Short Term Interest Rate Query."""
+
+    country: CountriesLiteral = Field(
+        description="Country to get GDP for.", default="united_states"
+    )
+
+    frequency: Literal["monthly", "quarterly", "annual"] = Field(
+        description="Frequency to get interest rate for for.", default="monthly"
+    )
+
+
+class OECDLTIRData(LTIRData):
+    """OECD Long Term Interest Rate Data."""
+
+    @field_validator("date", mode="before")
+    @classmethod
+    def date_validate(cls, in_date: Union[date, str]):  # pylint: disable=E0213
+        """Validate value."""
+        if isinstance(in_date, str):
+            # i.e 2022-Q1
+            if re.match(r"\d{4}-Q[1-4]$", in_date):
+                year, quarter = in_date.split("-")
+                _year = int(year)
+                if quarter == "Q1":
+                    return date(_year, 3, 31)
+                if quarter == "Q2":
+                    return date(_year, 6, 30)
+                if quarter == "Q3":
+                    return date(_year, 9, 30)
+                if quarter == "Q4":
+                    return date(_year, 12, 31)
+            # Now match if it is monthly, i.e 2022-01
+            elif re.match(r"\d{4}-\d{2}$", in_date):
+                year, month = map(int, in_date.split("-"))
+                if month == 12:
+                    return date(year, month, 31)
+                next_month = date(year, month + 1, 1)
+                return date(next_month.year, next_month.month, 1) - timedelta(days=1)
+            # Now match if it is yearly, i.e 2022
+            elif re.match(r"\d{4}$", in_date):
+                return date(int(in_date), 12, 31)
+        # If the input date is a year
+        if isinstance(in_date, int):
+            return date(in_date, 12, 31)
+
+        return in_date
+
+
+class OECDLTIRFetcher(Fetcher[OECDLTIRQueryParams, List[OECDLTIRData]]):
+    """Transform the query, extract and transform the data from the OECD endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> OECDLTIRQueryParams:
+        """Transform the query."""
+        transformed_params = params.copy()
+        if transformed_params["start_date"] is None:
+            transformed_params["start_date"] = date(1950, 1, 1)
+        if transformed_params["end_date"] is None:
+            transformed_params["end_date"] = date(date.today().year, 12, 31)
+
+        return OECDLTIRQueryParams(**transformed_params)
+
+    @staticmethod
+    def extract_data(
+        query: OECDLTIRQueryParams,  # pylint: disable=W0613
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> Dict:
+        """Return the raw data from the OECD endpoint."""
+        frequency = query.frequency[0].upper()
+        country = "" if query.country == "all" else country_to_code[query.country]
+        url = "https://sdmx.oecd.org/public/rest/data/OECD.SDD.STES,DSD_KEI@DF_KEI,4.0/..IRLT...."
+        data = helpers.get_possibly_cached_data(
+            url, function="economy_long_term_interest_rate"
+        )
+        query = f"FREQ=='{frequency}'"
+        query = query + f" & REF_AREA=='{country}'" if country else query
+        # Filter down
+        data = (
+            data.query(query)
+            .reset_index(drop=True)[["REF_AREA", "TIME_PERIOD", "VALUE"]]
+            .rename(
+                columns={"REF_AREA": "country", "TIME_PERIOD": "date", "VALUE": "value"}
+            )
+        )
+        data["country"] = data["country"].map(ltir_mapping)
+
+        return data.to_dict(orient="records")
+
+    @staticmethod
+    def transform_data(
+        query: OECDLTIRQueryParams, data: Dict, **kwargs: Any
+    ) -> List[OECDLTIRData]:
+        """Transform the data from the OECD endpoint."""
+        return [OECDLTIRData.model_validate(d) for d in data]
diff --git a/openbb_platform/providers/oecd/openbb_oecd/models/short_term_interest_rate.py b/openbb_platform/providers/oecd/openbb_oecd/models/short_term_interest_rate.py
new file mode 100644
index 00000000000..999d8f9cc6b
--- /dev/null
+++ b/openbb_platform/providers/oecd/openbb_oecd/models/short_term_interest_rate.py
@@ -0,0 +1,163 @@
+"""OECD Short Term Interest Rate Rate Data."""
+
+import re
+from datetime import date, timedelta
+from typing import Any, Dict, List, Literal, Optional, Union
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.short_term_interest_rate import (
+    STIRData,
+    STIRQueryParams,
+)
+from openbb_oecd.utils import helpers
+from pydantic import Field, field_validator
+
+stir_mapping = {
+    "BEL": "belgium",
+    "IRL": "ireland",
+    "MEX": "mexico",
+    "IDN": "indonesia",
+    "NZL": "new_zealand",
+    "JPN": "japan",
+    "GBR": "united_kingdom",
+    "FRA": "france",
+    "CHL": "chile",
+    "CAN": "canada",
+    "NLD": "netherlands",
+    "USA": "united_states",
+    "KOR": "south_korea",
+    "NOR": "norway",
+    "AUT": "austria",
+    "ZAF": "south_africa",
+    "DNK": "denmark",
+    "CHE": "switzerland",
+    "HUN": "hungary",
+    "LUX": "luxembourg",
+    "AUS": "australia",
+    "DEU": "germany",
+    "SWE": "sweden",
+    "ISL": "iceland",
+    "TUR": "turkey",
+    "GRC": "greece",
+    "ISR": "israel",
+    "CZE": "czech_republic",
+    "LVA": "latvia",
+    "SVN": "slovenia",
+    "POL": "poland",
+    "EST": "estonia",
+    "LTU": "lithuania",
+    "PRT": "portugal",
+    "CRI": "costa_rica",
+    "SVK": "slovakia",
+    "FIN": "finland",
+    "ESP": "spain",
+    "RUS": "russia",
+    "EA19": "euro_area19",
+    "COL": "colombia",
+    "ITA": "italy",
+    "IND": "india",
+    "CHN": "china",
+    "HRV": "croatia",
+}
+
+countries = tuple(stir_mapping.values()) + ("all",)
+CountriesLiteral = Literal[countries]  # type: ignore
+country_to_code = {v: k for k, v in stir_mapping.items()}
+
+
+class OECDSTIRQueryParams(STIRQueryParams):
+    """OECD Short Term Interest Rate Query."""
+
+    country: CountriesLiteral = Field(
+        description="Country to get GDP for.", default="united_states"
+    )
+
+    frequency: Literal["monthly", "quarterly", "annual"] = Field(
+        description="Frequency to get interest rate for for.", default="monthly"
+    )
+
+
+class OECDSTIRData(STIRData):
+    """OECD Short Term Interest Rate Data."""
+
+    @field_validator("date", mode="before")
+    @classmethod
+    def date_validate(cls, in_date: Union[date, str]):  # pylint: disable=E0213
+        """Validate value."""
+        if isinstance(in_date, str):
+            # i.e 2022-Q1
+            if re.match(r"\d{4}-Q[1-4]$", in_date):
+                year, quarter = in_date.split("-")
+                _year = int(year)
+                if quarter == "Q1":
+                    return date(_year, 3, 31)
+                if quarter == "Q2":
+                    return date(_year, 6, 30)
+                if quarter == "Q3":
+                    return date(_year, 9, 30)
+                if quarter == "Q4":
+                    return date(_year, 12, 31)
+            # Now match if it is monthly, i.e 2022-01
+            elif re.match(r"\d{4}-\d{2}$", in_date):
+                year, month = map(int, in_date.split("-"))
+                if month == 12:
+                    return date(year, month, 31)
+                next_month = date(year, month + 1, 1)
+                return date(next_month.year, next_month.month, 1) - timedelta(days=1)
+            # Now match if it is yearly, i.e 2022
+            elif re.match(r"\d{4}$", in_date):
+                return date(int(in_date), 12, 31)
+        # If the input date is a year
+        if isinstance(in_date, int):
+            return date(in_date, 12, 31)
+
+        return in_date
+
+
+class OECDSTIRFetcher(Fetcher[OECDSTIRQueryParams, List[OECDSTIRData]]):
+    """Transform the query, extract and transform the data from the OECD endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> OECDSTIRQueryParams:
+        """Transform the query."""
+        transformed_params = params.copy()
+        if transformed_params["start_date"] is None:
+            transformed_params["start_date"] = date(1950, 1, 1)
+        if transformed_params["end_date"] is None:
+            transformed_params["end_date"] = date(date.today().year, 12, 31)
+
+        return OECDSTIRQueryParams(**transformed_params)
+
+    @staticmethod
+    def extract_data(
+        query: OECDSTIRQueryParams,  # pylint: disable=W0613
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> Dict:
+        """Return the raw data from the OECD endpoint."""
+        frequency = query.frequency[0].upper()
+        country = "" if query.country == "all" else country_to_code[query.country]
+        url = "https://sdmx.oecd.org/public/rest/data/OECD.SDD.STES,DSD_KEI@DF_KEI,4.0/..IR3TIB...."
+        data = helpers.get_possibly_cached_data(
+            url, function="economy_short_term_interest_rate"
+        )
+        query = f"FREQ=='{frequency}'"
+        query = query + f" & REF_AREA=='{country}'" if country else query
+        # Filter down
+        data = (
+            data.query(query)
+            .reset_index(drop=True)[["REF_AREA", "TIME_PERIOD", "VALUE"]]
+            .rename(
+                columns={"REF_AREA": "country", "TIME_PERIOD": "date", "VALUE": "value"}
+            )
+        )
+        data["country"] = data["country"].map(stir_mapping)
+
+        return data.to_dict(orient="records")
+
+    @staticmethod
+    def transform_data(
+        query: OECDSTIRQueryParams, data: Dict, **kwargs: Any
+    ) -> List[OECDSTIRData]:
+        """Transform the data from the OECD endpoint."""
+        return [OECDSTIRData.model_validate(d) for d in data]
diff --git a/openbb_platform/providers/oecd/openbb_oecd/models/unemployment.py b/openbb_platform/providers/oecd/openbb_oecd/models/unemployment.py
new file mode 100644
index 00000000000..7cc44d0863d
--- /dev/null
+++ b/openbb_platform/providers/oecd/openbb_oecd/models/unemployment.py
@@ -0,0 +1,182 @@
+"""OECD Unemployment Data."""
+
+import re
+from datetime import date, timedelta
+from typing import Any, Dict, List, Literal, Optional, Union
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.unemployment import (
+    UnemploymentData,
+    UnemploymentQueryParams,
+)
+from openbb_oecd.utils import helpers
+from pydantic import Field, field_validator
+
+country_mapping = {
+    "COL": "colombia",
+    "NZL": "new_zealand",
+    "GBR": "united_kingdom",
+    "ITA": "italy",
+    "LUX": "luxembourg",
+    "EA19": "euro_area19",
+    "SWE": "sweden",
+    "OECD": "oecd",
+    "ZAF": "south_africa",
+    "DNK": "denmark",
+    "CAN": "canada",
+    "CHE": "switzerland",
+    "SVK": "slovakia",
+    "HUN": "hungary",
+    "PRT": "portugal",
+    "ESP": "spain",
+    "FRA": "france",
+    "CZE": "czech_republic",
+    "CRI": "costa_rica",
+    "JPN": "japan",
+    "SVN": "slovenia",
+    "RUS": "russia",
+    "AUT": "austria",
+    "LVA": "latvia",
+    "NLD": "netherlands",
+    "ISR": "israel",
+    "ISL": "iceland",
+    "USA": "united_states",
+    "IRL": "ireland",
+    "MEX": "mexico",
+    "DEU": "germany",
+    "GRC": "greece",
+    "TUR": "turkey",
+    "AUS": "australia",
+    "POL": "poland",
+    "KOR": "south_korea",
+    "CHL": "chile",
+    "FIN": "finland",
+    "EU27_2020": "european_union27_2020",
+    "NOR": "norway",
+    "LTU": "lithuania",
+    "EA20": "euro_area20",
+    "EST": "estonia",
+    "BEL": "belgium",
+    "BRA": "brazil",
+    "IDN": "indonesia",
+}
+countries = tuple(country_mapping.values()) + ("all",)
+CountriesLiteral = Literal[countries]  # type: ignore
+country_to_code = {v: k for k, v in country_mapping.items()}
+
+
+class OECDUnemploymentQueryParams(UnemploymentQueryParams):
+    """OECD Unemployment Query."""
+
+    country: CountriesLiteral = Field(
+        description="Country to get GDP for.", default="united_states"
+    )
+    sex: Literal["total", "male", "female"] = Field(
+        description="Sex to get unemployment for.", default="total"
+    )
+    frequency: Literal["monthly", "quarterly", "annual"] = Field(
+        description="Frequency to get unemployment for.", default="monthly"
+    )
+    age: Literal["total", "15-24", "15-64", "25-54", "55-64"] = Field(
+        description="Age group to get unemployment for. Total indicates 15 years or over",
+        default="total",
+    )
+    seasonal_adjustment: bool = Field(
+        description="Whether to get seasonally adjusted unemployment. Defaults to False.",
+        default=False,
+    )
+
+
+class OECDUnemploymentData(UnemploymentData):
+    """OECD Unemployment Data."""
+
+    @field_validator("date", mode="before")
+    @classmethod
+    def date_validate(cls, in_date: Union[date, str]):  # pylint: disable=E0213
+        """Validate value."""
+        if isinstance(in_date, str):
+            # i.e 2022-Q1
+            if re.match(r"\d{4}-Q[1-4]$", in_date):
+                year, quarter = in_date.split("-")
+                _year = int(year)
+                if quarter == "Q1":
+                    return date(_year, 3, 31)
+                if quarter == "Q2":
+                    return date(_year, 6, 30)
+                if quarter == "Q3":
+                    return date(_year, 9, 30)
+                if quarter == "Q4":
+                    return date(_year, 12, 31)
+            # Now match if it is monthly, i.e 2022-01
+            elif re.match(r"\d{4}-\d{2}$", in_date):
+                year, month = map(int, in_date.split("-"))
+                if month == 12:
+                    return date(year, month, 31)
+                next_month = date(year, month + 1, 1)
+                return date(next_month.year, next_month.month, 1) - timedelta(days=1)
+            # Now match if it is yearly, i.e 2022
+            elif re.match(r"\d{4}$", in_date):
+                return date(int(in_date), 12, 31)
+        # If the input date is a year
+        if isinstance(in_date, int):
+            return date(in_date, 12, 31)
+
+        return in_date
+
+
+class OECDUnemploymentFetcher(
+    Fetcher[OECDUnemploymentQueryParams, List[OECDUnemploymentData]]
+):
+    """Transform the query, extract and transform the data from the OECD endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> OECDUnemploymentQueryParams:
+        """Transform the query."""
+        transformed_params = params.copy()
+        if transformed_params["start_date"] is None:
+            transformed_params["start_date"] = date(1950, 1, 1)
+        if transformed_params["end_date"] is None:
+            transformed_params["end_date"] = date(date.today().year, 12, 31)
+
+        return OECDUnemploymentQueryParams(**transformed_params)
+
+    @staticmethod
+    def extract_data(
+        query: OECDUnemploymentQueryParams,  # pylint: disable=W0613
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> Dict:
+        """Return the raw data from the OECD endpoint."""
+        sex = {"total": "_T", "male": "M", "female": "F"}[query.sex]
+        frequency = query.frequency[0].upper()
+        age = {
+            "total": "Y_GE15",
+            "15-24": "Y15T24",
+            "15-64": "Y15T64",
+            "25-54": "Y25T54",
+            "55-64": "Y55T64",
+        }[query.age]
+        seasonal_adjustment = "Y" if query.seasonal_adjustment else "N"
+        country = "" if query.country == "all" else country_to_code[query.country]
+        url = "https://sdmx.oecd.org/public/rest/data/OECD.SDD.TPS,DSD_LFS@DF_IALFS_INDIC,1.0/.UNE_LF........"
+        data = helpers.get_possibly_cached_data(url, function="economy_unemployment")
+        query = f"AGE=='{age}' & SEX=='{sex}' & FREQ=='{frequency}' & ADJUSTMENT=='{seasonal_adjustment}'"
+        query = query + f" & REF_AREA=='{country}'" if country else query
+        # Filter down
+        data = (
+            data.query(query)
+            .reset_index(drop=True)[["REF_AREA", "TIME_PERIOD", "VALUE"]]
+            .rename(
+                columns={"REF_AREA": "country", "TIME_PERIOD": "date", "VALUE": "value"}
+            )
+        )
+        data["country"] = data["country"].map(country_mapping)
+
+        return data.to_dict(orient="records")
+
+    @staticmethod
+    def transform_data(
+        query: OECDUnemploymentQueryParams, data: Dict, **kwargs: Any
+    ) -> List[OECDUnemploymentData]:
+        """Transform the data from the OECD endpoint."""
+        return [OECDUnemploymentData.model_validate(d) for d in data]
diff --git a/openbb_platform/providers/oecd/openbb_oecd/utils/helpers.py b/openbb_platform/providers/oecd/openbb_oecd/utils/helpers.py
index 0f7ee3f2d9d..221e207891b 100644
--- a/openbb_platform/providers/oecd/openbb_oecd/utils/helpers.py
+++ b/openbb_platform/providers/oecd/openbb_oecd/utils/helpers.py
@@ -1,11 +1,19 @@
 import ssl
+from datetime import date
 from io import StringIO
+from pathlib import Path
 from typing import Any, Dict, Optional
 
 import requests
 import urllib3
+from defusedxml.ElementTree import fromstring
+from openbb_core.app.utils import get_user_cache_directory
 from openbb_core.provider import helpers
-from pandas import DataFrame, read_csv
+from pandas import DataFrame, read_csv, read_parquet
+
+cache = get_user_cache_directory() + "/oecd"
+# Create the cache directory if it does not exist
+Path(cache).mkdir(parents=True, exist_ok=True)
 
 # OECD does not play well with newer python.  This code block from stackoverflow helps
 # to create a custom session:
@@ -18,8 +26,9 @@ class CustomHttpAdapter(requests.adapters.HTTPAdapter):
         self.ssl_context = ssl_context
         super().__init__(**kwargs)
 
+    # pylint: disable=arguments-differ
     def init_poolmanager(self, connections, maxsize, block=False):
-        self.poolmanager = urllib3.poolmanager.PoolManager(
+        self.poolmanager = urllib3.poolmanager.PoolManager(  # pylint: disable=attribute-defined-outside-init
             num_pools=connections,
             maxsize=maxsize,
             block=block,
@@ -27,6 +36,9 @@ class CustomHttpAdapter(requests.adapters.HTTPAdapter):
         )
 
 
+# pylint: enable=arguments-differ
+
+
 def get_legacy_session():
     """Stackoverflow code to create a custom session."""
     ctx = ssl.create_default_context(ssl.Purpose.SERVER_AUTH)
@@ -46,3 +58,174 @@ def fetch_data(url: str, csv_kwargs: Optional[Dict] = None, **kwargs: Any) -> Da
     # or a delimiter.
     data = read_csv(StringIO(response.text), **csv_kwargs)
     return data
+
+
+### The functions below are for using the new oecd data-explorer instead of the stats.oecd
+
+
+def oecd_xml_to_df(xml_string: str) -> DataFrame:
+    """Helper function to parse the OECD XML and return a dataframe.
+
+     Parameters
+    ----------
+    xml_string : str
+        A string containing the OECD XML data.
+
+    Returns
+    -------
+    DataFrame
+        A Pandas DataFrame containing the parsed data from the XML string.
+    """
+    root = fromstring(xml_string)
+
+    namespaces = {
+        "message": "http://www.sdmx.org/resources/sdmxml/schemas/v2_1/message",
+        "generic": "http://www.sdmx.org/resources/sdmxml/schemas/v2_1/data/generic",
+    }
+
+    # Prepare a list to hold your extracted data
+    data = []
+
+    # Iterate through each 'Series' in the XML
+    for series in root.findall(".//generic:Series", namespaces=namespaces):
+        series_data = {}
+        # Extract series key values
+        for value in series.findall(".//generic:Value", namespaces=namespaces):
+            series_data[value.get("id")] = value.get("value")
+        # Extract observation values
+        for obs in series.findall("./generic:Obs", namespaces=namespaces):
+            obs_data = series_data.copy()
+            obs_data["TIME_PERIOD"] = obs.find(
+                "./generic:ObsDimension", namespaces=namespaces
+            ).get("value")
+            obs_data["VALUE"] = obs.find(
+                "./generic:ObsValue", namespaces=namespaces
+            ).get("value")
+            data.append(obs_data)
+
+    # Create a DataFrame
+    return DataFrame(data)
+
+
+def parse_url(url: str) -> DataFrame:
+    """Helper function to parse the SDMX url and return a dataframe.
+
+    Parameters
+    ----------
+    url:str
+        URL to parse
+
+    Returns
+    -------
+    DataFrame
+        Pandas dataframe containing URL data
+    """
+    response = helpers.make_request(url)
+    response.raise_for_status()
+    return oecd_xml_to_df(response.text)
+
+
+def check_cache_exists_and_valid(function: str, cache_method: str = "csv") -> bool:
+    """Check if the cache exists and is valid.
+
+    Parameters
+    ----------
+    function : str
+        The name of the function for which the cache is being checked.
+    cache_method : str, optional
+        The method used for caching (default is 'csv').
+
+    Returns
+    -------
+    bool
+        True if the cache exists and is valid for the current day, False otherwise.
+    """
+    # TODO: add setting to disable cache for tests
+
+    if cache_method not in ["csv", "parquet"]:
+        raise NotImplementedError("Currently only working with parquet or csv")
+    # First check that the cache exists.  This will be a parquet/csv and a timestamp
+    cache_path = f"{cache}/{function}.{cache_method}"
+    time_cache_path = f"{cache}/{function}.timestamp"
+    if Path(cache_path).exists() and Path(time_cache_path).exists():
+        # Now check that the cache is valid.  I am going to check that we write to a file the date the cache was made
+        # Read the timestamp
+        with open(time_cache_path) as f:
+            cached_date = f.read().strip()
+        # TODO:  More robust caching logic
+        if cached_date == str(date.today()):
+            return True
+        return False
+    return False
+
+
+def write_to_cache(function: str, data: DataFrame, cache_method: str) -> None:
+    """Write data to the cache.
+
+    Parameters
+    ----------
+    function : str
+        The name of the function for which data is being cached.
+    data : DataFrame
+        The DataFrame to be cached.
+    cache_method : str
+        The method used for caching the data.
+
+    Raises
+    ------
+    NotImplementedError
+        If the cache_method is not 'parquet'.
+    """
+    if cache_method == "parquet":
+        cache_path = f"{cache}/{function}.parquet"
+        data.to_parquet(cache_path, engine="pyarrow")
+        # Write the current date to a file called cache/function.timestamp
+        with open(f"{cache}/{function}.timestamp", "w") as f:
+            f.write(str(date.today()))
+    elif cache_method == "csv":
+        cache_path = f"{cache}/{function}.csv"
+        data.to_csv(cache_path)
+        # Write the current date to a file called cache/function.timestamp
+        with open(f"{cache}/{function}.timestamp", "w") as f:
+            f.write(str(date.today()))
+    else:
+        raise NotImplementedError
+
+
+def get_possibly_cached_data(
+    url: str, function: Optional[str] = None, cache_method: str = "csv"
+) -> DataFrame:
+    """
+    Retrieve data from a given URL or from the cache if available and valid.
+
+    Parameters
+    ----------
+    url : str
+        The URL from which to fetch the data if it's not available in the cache.
+    function : Optional[str], optional
+        The name of the function for which data is being fetched or cached.
+    cache_method : str, optional
+        The method used for caching the data (default is 'csv').
+
+    Returns
+    -------
+    DataFrame
+        A Pandas DataFrame containing the fetched or cached data.
+    """
+    if cache_method == "parquet":
+        cache_path = f"{cache}/{function}.parquet"
+    elif cache_method == "csv":
+        cache_path = f"{cache}/{function}.csv"
+
+    use_cache = check_cache_exists_and_valid(
+        function=function, cache_method=cache_method
+    )
+    if use_cache:
+        if cache_method == "csv":
+            data = read_csv(cache_path)
+        elif cache_method == "parquet":
+            data = read_parquet(cache_path, engine="pyarrow")
+    else:
+        data = parse_url(url)
+        write_to_cache(function=function, data=data, cache_method=cache_method)
+    return data
diff --git a/openbb_platform/providers/oecd/poetry.lock b/openbb_platform/providers/oecd/poetry.lock
index 6dffaf601e6..099a4735d9e 100644
--- a/openbb_platform/providers/oecd/poetry.lock
+++ b/openbb_platform/providers/oecd/poetry.lock
@@ -320,6 +320,17 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "defusedxml"
+version = "0.8.0rc2"
+description = "XML bomb protection for Python stdlib modules"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "defusedxml-0.8.0rc2-py2.py3-none-any.whl", hash = "sha256:1c812964311154c3bf4aaf3bc1443b31ee13530b7f255eaaa062c0553c76103d"},
+    {file = "defusedxml-0.8.0rc2.tar.gz", hash = "sha256:138c7d540a78775182206c7c97fe65b246a2f40b29471e1a2f1b0da76e7a3942"},
+]
+
 [[package]]
 name = "ecdsa"
 version = "0.18.0"
@@ -635,40 +646,6 @@ files = [
     {file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"},
 ]
 
-[[package]]
-name = "numpy"
-version = "1.25.2"
-description = "Fundamental package for array computing in Python"
-optional = false
-python-versions = ">=3.9"
-files = [
-    {file = "numpy-1.25.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:db3ccc4e37a6873045580d413fe79b68e47a681af8db2e046f1dacfa11f86eb3"},
-    {file = "numpy-1.25.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:90319e4f002795ccfc9050110bbbaa16c944b1c37c0baeea43c5fb881693ae1f"},
-    {file = "numpy-1.25.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dfe4a913e29b418d096e696ddd422d8a5d13ffba4ea91f9f60440a3b759b0187"},
-    {file = "numpy-1.25.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f08f2e037bba04e707eebf4bc934f1972a315c883a9e0ebfa8a7756eabf9e357"},
-    {file = "numpy-1.25.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bec1e7213c7cb00d67093247f8c4db156fd03075f49876957dca4711306d39c9"},
-    {file = "numpy-1.25.2-cp310-cp310-win32.whl", hash = "sha256:7dc869c0c75988e1c693d0e2d5b26034644399dd929bc049db55395b1379e044"},
-    {file = "numpy-1.25.2-cp310-cp310-win_amd64.whl", hash = "sha256:834b386f2b8210dca38c71a6e0f4fd6922f7d3fcff935dbe3a570945acb1b545"},
-    {file = "numpy-1.25.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c5462d19336db4560041517dbb7759c21d181a67cb01b36ca109b2ae37d32418"},
-    {file = "numpy-1.25.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c5652ea24d33585ea39eb6a6a15dac87a1206a692719ff45d53c5282e66d4a8f"},
-    {file = "numpy-1.25.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d60fbae8e0019865fc4784745814cff1c421df5afee233db6d88ab4f14655a2"},
-    {file = "numpy-1.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:60e7f0f7f6d0eee8364b9a6304c2845b9c491ac706048c7e8cf47b83123b8dbf"},
-    {file = "numpy-1.25.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:bb33d5a1cf360304754913a350edda36d5b8c5331a8237268c48f91253c3a364"},
-    {file = "numpy-1.25.2-cp311-cp311-win32.whl", hash = "sha256:5883c06bb92f2e6c8181df7b39971a5fb436288db58b5a1c3967702d4278691d"},
-    {file = "numpy-1.25.2-cp311-cp311-win_amd64.whl", hash = "sha256:5c97325a0ba6f9d041feb9390924614b60b99209a71a69c876f71052521d42a4"},
-    {file = "numpy-1.25.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b79e513d7aac42ae918db3ad1341a015488530d0bb2a6abcbdd10a3a829ccfd3"},
-    {file = "numpy-1.25.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:eb942bfb6f84df5ce05dbf4b46673ffed0d3da59f13635ea9b926af3deb76926"},
-    {file = "numpy-1.25.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e0746410e73384e70d286f93abf2520035250aad8c5714240b0492a7302fdca"},
-    {file = "numpy-1.25.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7806500e4f5bdd04095e849265e55de20d8cc4b661b038957354327f6d9b295"},
-    {file = "numpy-1.25.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8b77775f4b7df768967a7c8b3567e309f617dd5e99aeb886fa14dc1a0791141f"},
-    {file = "numpy-1.25.2-cp39-cp39-win32.whl", hash = "sha256:2792d23d62ec51e50ce4d4b7d73de8f67a2fd3ea710dcbc8563a51a03fb07b01"},
-    {file = "numpy-1.25.2-cp39-cp39-win_amd64.whl", hash = "sha256:76b4115d42a7dfc5d485d358728cdd8719be33cc5ec6ec08632a5d6fca2ed380"},
-    {file = "numpy-1.25.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:1a1329e26f46230bf77b02cc19e900db9b52f398d6722ca853349a782d4cff55"},
-    {file = "numpy-1.25.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c3abc71e8b6edba80a01a52e66d83c5d14433cbcd26a40c329ec7ed09f37901"},
-    {file = "numpy-1.25.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:1b9735c27cea5d995496f46a8b1cd7b408b3f34b6d50459d9ac8fe3a20cc17bf"},
-    {file = "numpy-1.25.2.tar.gz", hash = "sha256:fd608e19c8d7c55021dffd43bfe5492fab8cc105cc8986f813f8c3c048b38760"},
-]
-
 [[package]]
 name = "openbb-core"
 version = "1.1.1"
diff --git a/openbb_platform/providers/oecd/pyproject.toml b/openbb_platform/providers/oecd/pyproject.toml
index 7260fbc201f..039d84fa130 100644
--- a/openbb_platform/providers/oecd/pyproject.toml
+++ b/openbb_platform/providers/oecd/pyproject.toml
@@ -10,6 +10,7 @@ packages = [{ include = "openbb_oecd" }]
 python = "^3.8"
 openbb-core = "^1.1.1"
 urllib3 = ">1.26.16"
+defusedxml = "^0.8.0rc2"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_forecast_gdp_fetcher.yaml b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_forecast_gdp_fetcher.yaml
index 2f4f5729bbc..d92e81bb321 100644
--- a/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_forecast_gdp_fetcher.yaml
+++ b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_forecast_gdp_fetcher.yaml
@@ -17,61 +17,60 @@ interactions:
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     headers:
       Access-Control-Allow-Headers:
       - Content-Type
@@ -82,13 +81,13 @@ interactions:
       Cache-Control:
       - private
       Content-Disposition:
-      - attachment;filename=DP_LIVE_10112023143409920.csv
+      - attachment;filename=DP_LIVE_26012024223440840.csv
       Content-Encoding:
       - gzip
       Content-Type:
       - text/csv
       Date:
-      - Fri, 10 Nov 2023 13:34:09 GMT
+      - Fri, 26 Jan 2024 21:34:39 GMT
       Transfer-Encoding:
       - chunked
       Vary:
diff --git a/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_nominal_gdp_fetcher.yaml b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_nominal_gdp_fetcher.yaml
index 3940fd0b347..7ca5b45cb4d 100644
--- a/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_nominal_gdp_fetcher.yaml
+++ b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_nominal_gdp_fetcher.yaml
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     headers:
       Access-Control-Allow-Headers:
       - Content-Type
@@ -74,13 +75,13 @@ interactions:
       Cache-Control:
       - private
       Content-Disposition:
-      - attachment;filename=DP_LIVE_10112023143407092.csv
+      - attachment;filename=DP_LIVE_26012024223438996.csv
       Content-Encoding:
       - gzip
       Content-Type:
       - text/csv
       Date:
-      - Fri, 10 Nov 2023 13:34:06 GMT
+      - Fri, 26 Jan 2024 21:34:38 GMT
       Transfer-Encoding:
       - chunked
       Vary:
diff --git a/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_real_gdp_fetcher.yaml b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_real_gdp_fetcher.yaml
index 2f0d1210a55..83ad10005d5 100644
--- a/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_real_gdp_fetcher.yaml
+++ b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_real_gdp_fetcher.yaml
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+        AA==
     headers:
       Access-Control-Allow-Headers:
       - Content-Type
@@ -207,13 +205,13 @@ interactions:
       Cache-Control:
       - private
       Content-Disposition:
-      - attachment;filename=DP_LIVE_10112023143408467.csv
+      - attachment;filename=DP_LIVE_26012024223439918.csv
       Content-Encoding:
       - gzip
       Content-Type:
       - text/csv
       Date:
-      - Fri, 10 Nov 2023 13:34:08 GMT
+      - Fri, 26 Jan 2024 21:34:39 GMT
       Transfer-Encoding:
       - chunked
       Vary:
diff --git a/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_unemployment_fetcher.yaml b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_unemployment_fetcher.yaml
new file mode 100644
index 00000000000..8e3d3aa42fb
--- /dev/null
+++ b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecd_unemployment_fetcher.yaml
@@ -0,0 +1,100203 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate, br
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://sdmx.oecd.org/public/rest/data/OECD.SDD.TPS,DSD_LFS@DF_IALFS_INDIC,1.0/.UNE_LF........
+  response:
+    body:
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+        SVJ+WBkw+9dr+pe/XuRNk13kj55mbfY6b71PPpem+OLo/wHm/ir7OsPQAw==
+    headers:
+      Accept-Ranges:
+      - values
+      Cache-Control:
+      - no-store,no-cache
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/vnd.sdmx.genericdata+xml; version=2.1; charset=utf-8
+      Date:
+      - Fri, 26 Jan 2024 21:34:44 GMT
+      Pragma:
+      - no-cache
+      Strict-Transport-Security:
+      - max-age=2592000
+      Transfer-Encoding:
+      - chunked
+      Vary:
+      - Accept,Accept-Encoding,Accept-Encoding
+      X-Server-Node:
+      - Server 3
+      api-supported-versions:
+      - '1'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecdcli_fetcher.yaml b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecdcli_fetcher.yaml
new file mode 100644
index 00000000000..3a6a82318b9
--- /dev/null
+++ b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecdcli_fetcher.yaml
@@ -0,0 +1,5594 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate, br
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://sdmx.oecd.org/public/rest/data/OECD.SDD.STES,DSD_KEI@DF_KEI,4.0/..LI....
+  response:
+    body:
+      string: !!binary |
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+        r+lf/nqRN012kT96mrXZ67z1PvlcmuKLo/8HaXJ9Hxu6JQA=
+    headers:
+      Accept-Ranges:
+      - values
+      Cache-Control:
+      - no-store,no-cache
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/vnd.sdmx.genericdata+xml; version=2.1; charset=utf-8
+      Date:
+      - Fri, 26 Jan 2024 21:35:28 GMT
+      Pragma:
+      - no-cache
+      Strict-Transport-Security:
+      - max-age=2592000
+      Transfer-Encoding:
+      - chunked
+      Vary:
+      - Accept,Accept-Encoding,Accept-Encoding
+      X-Server-Node:
+      - Server 3
+      api-supported-versions:
+      - '1'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecdltir_fetcher.yaml b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecdltir_fetcher.yaml
new file mode 100644
index 00000000000..103efc23e8a
--- /dev/null
+++ b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecdltir_fetcher.yaml
@@ -0,0 +1,8775 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate, br
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://sdmx.oecd.org/public/rest/data/OECD.SDD.STES,DSD_KEI@DF_KEI,4.0/..IRLT....
+  response:
+    body:
+      string: !!binary |
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+        flicZv96Tf/y14u8abKL/NHTrM1e5633yefSFF8c/T/E+JqC2K1WAA==
+    headers:
+      Accept-Ranges:
+      - values
+      Cache-Control:
+      - no-store,no-cache
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/vnd.sdmx.genericdata+xml; version=2.1; charset=utf-8
+      Date:
+      - Fri, 26 Jan 2024 22:07:09 GMT
+      Pragma:
+      - no-cache
+      Strict-Transport-Security:
+      - max-age=2592000
+      Transfer-Encoding:
+      - chunked
+      Vary:
+      - Accept,Accept-Encoding,Accept-Encoding
+      X-Server-Node:
+      - Server 3
+      api-supported-versions:
+      - '1'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecdstir_fetcher.yaml b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecdstir_fetcher.yaml
new file mode 100644
index 00000000000..ae3b54e402b
--- /dev/null
+++ b/openbb_platform/providers/oecd/tests/record/http/test_oecd_fetchers/test_oecdstir_fetcher.yaml
@@ -0,0 +1,8526 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate, br
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://sdmx.oecd.org/public/rest/data/OECD.SDD.STES,DSD_KEI@DF_KEI,4.0/..IR3TIB....
+  response:
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diff --git a/openbb_platform/providers/oecd/tests/test_oecd_fetchers.py b/openbb_platform/providers/oecd/tests/test_oecd_fetchers.py
index 42330e1a494..2bfd968f7c1 100644
--- a/openbb_platform/providers/oecd/tests/test_oecd_fetchers.py
+++ b/openbb_platform/providers/oecd/tests/test_oecd_fetchers.py
@@ -2,9 +2,13 @@ import datetime
 
 import pytest
 from openbb_core.app.service.user_service import UserService
+from openbb_oecd.models.composite_leading_indicator import OECDCLIFetcher
 from openbb_oecd.models.gdp_forecast import OECDGdpForecastFetcher
 from openbb_oecd.models.gdp_nominal import OECDGdpNominalFetcher
 from openbb_oecd.models.gdp_real import OECDGdpRealFetcher
+from openbb_oecd.models.long_term_interest_rate import OECDLTIRFetcher
+from openbb_oecd.models.short_term_interest_rate import OECDSTIRFetcher
+from openbb_oecd.models.unemployment import OECDUnemploymentFetcher
 
 test_credentials = UserService().default_user_settings.credentials.model_dump(
     mode="json"
@@ -54,3 +58,51 @@ def test_oecd_forecast_gdp_fetcher(credentials=test_credentials):
     fetcher = OECDGdpForecastFetcher()
     result = fetcher.test(params, credentials)
     assert result is None
+
+
+@pytest.mark.record_http
+def test_oecd_unemployment_fetcher(credentials=test_credentials):
+    params = {
+        "start_date": datetime.date(2023, 1, 1),
+        "end_date": datetime.date(2023, 6, 6),
+    }
+
+    fetcher = OECDUnemploymentFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None
+
+
+@pytest.mark.record_http
+def test_oecdcli_fetcher(credentials=test_credentials):
+    params = {
+        "start_date": datetime.date(2023, 1, 1),
+        "end_date": datetime.date(2023, 6, 6),
+    }
+
+    fetcher = OECDCLIFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None
+
+
+@pytest.mark.record_http
+def test_oecdstir_fetcher(credentials=test_credentials):
+    params = {
+        "start_date": datetime.date(2023, 1, 1),
+        "end_date": datetime.date(2023, 6, 6),
+    }
+
+    fetcher = OECDSTIRFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None
+
+
+@pytest.mark.record_http
+def test_oecdltir_fetcher(credentials=test_credentials):
+    params = {
+        "start_date": datetime.date(2023, 1, 1),
+        "end_date": datetime.date(2023, 6, 6),
+    }
+
+    fetcher = OECDLTIRFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None