[Feature] Add Svensson Nominal Yield Curve From Federal Reserve (#7338)

* add svensson yield curve, cleanup fomc documents endpoint, make provider a standalone extension, move apps from platform-api into extension, and update some models to add prefix/suffix in widget definitions * black * do what codeQL says * black again * use get_args instead of Literal.__args__ * linting * test items * grammar police * test functions need to start with test_* * test params * add total factor productivity from sf fed * openpyxl required for Excel file handling * grammar police * inflation expectations * Update pr-description check action to properly handle quotes --------- Co-authored-by: deeleeramone <> Co-authored-by: Theodore Aptekarev <aptekarev@gmail.com>
2026-10-27 04:31:13 +00:00 · 2026-02-02 08:05:57 -08:00
parent 4ab9e27a56
commit 06041a8b3a
39 changed files with 49139 additions and 515 deletions
--- a/openbb_platform/providers/federal_reserve/README.md
+++ b/openbb_platform/providers/federal_reserve/README.md
@@ -1,6 +1,7 @@
 # OpenBB Federal Reserve Provider

 This extension integrates the [Federal Reserve](https://www.federalreserve.gov/data.htm) data provider into the OpenBB Platform.
+It focuses on Federal Reserve data not published to FRED. No authorization is required for access.

 ## Installation

@@ -10,4 +11,56 @@ To install the extension:
 pip install openbb-federal-reserve
 ```

-Documentation available [here](https://docs.openbb.co/platform/developer_guide/contributing).
+Then build the Python static assets by running:
+
+```sh
+openbb-build
+```
+
+## Quick Start
+
+The fastest way to get started is by connecting to the OpenBB Workspace as a custom backend.
+
+### Start Server
+
+```sh
+openbb-api
+```
+
+This starts the FastAPI server over localhost on port 6900.
+
+### Add to Workspace
+
+See the documentation [here](https://docs.openbb.co/odp/python/quickstart/workspace) for more details.
+
+### Click to Open App
+
+Once added, click on the app to open the dashboard.
+
+The dashboard contains widgets with metadata and information, as well ones for exploring and retrieving the data.
+
+
+## Coverage
+
+This extension creates multiple OpenBB Workspace apps, along with individual widgets for each endpoint.
+
+### Apps
+
+- FOMC Documents - Current and historical PDF documents of minutes, projections, Beige Books, policy statements, and more.
+- Federal Reserve System - Stats & Indicators - Data statistics and indicators from the regional members of the Federal Reserve System.
+
+### Endpoints
+
+- `.economy.money_measures`
+- `.economy.central_bank_holdings`
+- `.economy.primary_dealer_positioning`
+- `.economy.primary_dealer_fails`
+- `.economy.fomc_documents`
+- `.economy.total_factor_productivity`
+- `.economy.survey.inflation_expectations`
+- `.fixedincome.rate.sofr`
+- `.fixedincome.rate.effr`
+- `.fixedincome.rate.overnight_bank_funding`
+- `.fixedincome.government.yield_curve`
+- `.fixedincome.government.treasury_rates`
+- `.fixedincome.government.svensson_yield_curve`
--- a/openbb_platform/providers/federal_reserve/integration/test_federal_reserve_api.py
+++ b/openbb_platform/providers/federal_reserve/integration/test_federal_reserve_api.py
@@ -0,0 +1,56 @@
+"""Test Federal Reserve API."""
+
+# pylint: disable=too-many-lines,redefined-outer-name
+
+import base64
+
+import pytest
+import requests
+from openbb_core.env import Env
+from openbb_core.provider.utils.helpers import get_querystring
+
+
+@pytest.fixture(scope="session")
+def headers():
+    """Get the headers for the API request."""
+    userpass = f"{Env().API_USERNAME}:{Env().API_PASSWORD}"
+    userpass_bytes = userpass.encode("ascii")
+    base64_bytes = base64.b64encode(userpass_bytes)
+
+    return {"Authorization": f"Basic {base64_bytes.decode('ascii')}"}
+
+
+@pytest.mark.integration
+def test_federal_reserve_fomc_documents_download(headers):
+    """Test the federal reserve fomc documents download endpoint."""
+    params = {
+        "url": [
+            "https://www.federalreserve.gov/monetarypolicy/files/BeigeBook_20230118.pdf"
+        ]
+    }
+
+    url = "http://localhost:8000/api/v1/federal_reserve/fomc_documents_download"
+    result = requests.post(url, headers=headers, timeout=10, json=params)
+    assert isinstance(result, requests.Response)
+    assert result.status_code == 200
+
+
+@pytest.mark.parametrize(
+    "params",
+    [
+        {
+            "year": 2022,
+            "document_type": "minutes",
+        }
+    ],
+)
+@pytest.mark.integration
+def test_federal_reserve_fomc_documents_choices(headers, params):
+    """Test the federal reserve fomc documents choices endpoint."""
+    url = (
+        "http://localhost:8000/api/v1/federal_reserve/fomc_documents_choices?"
+        + get_querystring(params, [])
+    )
+    result = requests.get(url, headers=headers, timeout=10)
+    assert isinstance(result, requests.Response)
+    assert result.status_code == 200
--- a/openbb_platform/providers/federal_reserve/integration/test_federal_reserve_python.py
+++ b/openbb_platform/providers/federal_reserve/integration/test_federal_reserve_python.py
@@ -0,0 +1,54 @@
+"""Federal Reserve Utilities module integration tests."""
+
+import pytest
+from openbb_core.app.model.obbject import OBBject
+
+# pylint: disable=redefined-outer-name
+
+
+@pytest.fixture(scope="session")
+def obb(pytestconfig):  # pylint: disable=inconsistent-return-statements
+    """Fixture to setup obb."""
+
+    if pytestconfig.getoption("markexpr") != "not integration":
+        import openbb  # pylint: disable=import-outside-toplevel
+
+        return openbb.obb
+
+
+@pytest.mark.skip(reason="Not implemented in Python Interface.")
+@pytest.mark.parametrize(
+    "params",
+    [{"params": {}}],
+)
+@pytest.mark.integration
+def test_federal_reserve_fomc_documents_download(params, obb):
+    """Test federal_reserve_fomc_documents_download endpoint."""
+    params = {
+        "url": [
+            "https://www.federalreserve.gov/monetarypolicy/files/BeigeBook_20230118.pdf"
+        ]
+    }
+
+    result = obb.federal_reserve.fomc_documents_download(**params)
+    assert result
+    assert isinstance(result, OBBject)
+
+
+@pytest.mark.skip(reason="Not implemented in Python Interface.")
+@pytest.mark.parametrize(
+    "params",
+    [
+        {
+            "year": 2022,
+            "document_type": "minutes",
+        }
+    ],
+)
+@pytest.mark.integration
+def test_federal_reserve_fomc_documents_choices(params, obb):
+    """Test federal_reserve_fomc_documents_choices endpoint."""
+
+    result = obb.federal_reserve.fomc_documents_choices(**params)
+    assert result
+    assert isinstance(result, OBBject)
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/init.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/init.py
@@ -10,6 +10,9 @@ from openbb_federal_reserve.models.federal_funds_rate import (
 from openbb_federal_reserve.models.fomc_documents import (
    FederalReserveFomcDocumentsFetcher,
 )
+from openbb_federal_reserve.models.inflation_expectations import (
+    FederalReserveInflationExpectationsFetcher,
+)
 from openbb_federal_reserve.models.money_measures import (
    FederalReserveMoneyMeasuresFetcher,
 )
@@ -23,6 +26,12 @@ from openbb_federal_reserve.models.primary_dealer_positioning import (
    FederalReservePrimaryDealerPositioningFetcher,
 )
 from openbb_federal_reserve.models.sofr import FederalReserveSOFRFetcher
+from openbb_federal_reserve.models.svensson_yield_curve import (
+    FederalReserveSvenssonFetcher,
+)
+from openbb_federal_reserve.models.total_factor_productivity import (
+    FederalReserveTfpFetcher,
+)
 from openbb_federal_reserve.models.treasury_rates import (
    FederalReserveTreasuryRatesFetcher,
 )
@@ -36,11 +45,14 @@ federal_reserve_provider = Provider(
        "CentralBankHoldings": FederalReserveCentralBankHoldingsFetcher,
        "FederalFundsRate": FederalReserveFederalFundsRateFetcher,
        "FomcDocuments": FederalReserveFomcDocumentsFetcher,
+        "InflationExpectations": FederalReserveInflationExpectationsFetcher,
        "MoneyMeasures": FederalReserveMoneyMeasuresFetcher,
        "OvernightBankFundingRate": FederalReserveOvernightBankFundingRateFetcher,
        "PrimaryDealerFails": FederalReservePrimaryDealerFailsFetcher,
        "PrimaryDealerPositioning": FederalReservePrimaryDealerPositioningFetcher,
        "SOFR": FederalReserveSOFRFetcher,
+        "SvenssonYieldCurve": FederalReserveSvenssonFetcher,
+        "TotalFactorProductivity": FederalReserveTfpFetcher,
        "TreasuryRates": FederalReserveTreasuryRatesFetcher,
        "YieldCurve": FederalReserveYieldCurveFetcher,
    },
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/assets/apps.json
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/assets/apps.json
@@ -0,0 +1,726 @@
+[
+  {
+    "name": "FOMC Documents",
+    "img": "https://upload.wikimedia.org/wikipedia/commons/thumb/7/71/Flag_of_the_United_States_Federal_Reserve.svg/640px-Flag_of_the_United_States_Federal_Reserve.svg.png",
+    "img_dark": "",
+    "img_light": "",
+    "description": "Read current and historical FOMC documents, beginning 1959.",
+    "allowCustomization": true,
+    "tabs": {
+      "overview": {
+        "id": "overview",
+        "name": "overview",
+        "layout": [
+          {
+            "i": "economy_fomc_documents_federal_reserve_obb",
+            "x": 0,
+            "y": 0,
+            "w": 40,
+            "h": 42,
+            "state": {
+              "params": {
+                "year": 2025
+              }
+            }
+          }
+        ]
+      }
+    },
+    "groups": []
+  },
+  {
+    "name": "Federal Reserve System - Stats & Indicators",
+    "img": "https://upload.wikimedia.org/wikipedia/commons/1/1a/Seal_of_the_United_States_Federal_Reserve_System.svg",
+    "img_dark": "https://upload.wikimedia.org/wikipedia/commons/1/1a/Seal_of_the_United_States_Federal_Reserve_System.svg",
+    "img_light": "https://upload.wikimedia.org/wikipedia/commons/1/1a/Seal_of_the_United_States_Federal_Reserve_System.svg",
+    "description": "Data statistics and indactors generated from within the regional members of the Federal Reserve System.",
+    "allowCustomization": true,
+    "tabs": {
+      "rates": {
+        "id": "rates",
+        "name": "Rates",
+        "layout": [
+          {
+            "i": "fixedincome_rate_sofr_federal_reserve_obb",
+            "x": 0,
+            "y": 2,
+            "w": 19,
+            "h": 18,
+            "state": {
+              "params": {
+                "start_date": "2020-01-01"
+              },
+              "chartModel": {
+                "modelType": "range",
+                "chartType": "customCombo",
+                "chartOptions": {
+                  "line": {
+                    "legend": {
+                      "enabled": false
+                    }
+                  }
+                },
+                "cellRange": {
+                  "columns": [
+                    "date",
+                    "rate"
+                  ]
+                },
+                "suppressChartRanges": true,
+                "seriesChartTypes": [
+                  {
+                    "colId": "rate",
+                    "chartType": "line",
+                    "secondaryAxis": false
+                  },
+                  {
+                    "colId": "percentile_1",
+                    "chartType": "line",
+                    "secondaryAxis": false
+                  },
+                  {
+                    "colId": "percentile_25",
+                    "chartType": "line",
+                    "secondaryAxis": false
+                  },
+                  {
+                    "colId": "percentile_75",
+                    "chartType": "line",
+                    "secondaryAxis": false
+                  },
+                  {
+                    "colId": "percentile_99",
+                    "chartType": "line",
+                    "secondaryAxis": false
+                  },
+                  {
+                    "colId": "volume",
+                    "chartType": "line",
+                    "secondaryAxis": true
+                  }
+                ]
+              },
+              "chartView": {
+                "enabled": true,
+                "chartType": "customCombo"
+              },
+              "columnState": {
+                "default": {
+                  "columnPinning": {
+                    "leftColIds": [
+                      "date"
+                    ],
+                    "rightColIds": []
+                  },
+                  "columnOrder": {
+                    "orderedColIds": [
+                      "date",
+                      "rate",
+                      "percentile_1",
+                      "percentile_25",
+                      "percentile_75",
+                      "percentile_99",
+                      "volume"
+                    ]
+                  }
+                }
+              }
+            },
+            "groups": [
+              "Group 1"
+            ]
+          },
+          {
+            "i": "fixedincome_rate_effr_federal_reserve_obb",
+            "x": 0,
+            "y": 20,
+            "w": 40,
+            "h": 16,
+            "state": {
+              "params": {
+                "start_date": "2020-01-01"
+              },
+              "chartModel": {
+                "modelType": "range",
+                "chartType": "line",
+                "chartOptions": {},
+                "cellRange": {
+                  "columns": [
+                    "date",
+                    "rate",
+                    "target_range_upper",
+                    "target_range_lower"
+                  ]
+                },
+                "suppressChartRanges": true
+              },
+              "chartView": {
+                "enabled": true,
+                "chartType": "line"
+              },
+              "columnState": {
+                "default": {
+                  "columnPinning": {
+                    "leftColIds": [
+                      "date"
+                    ],
+                    "rightColIds": []
+                  },
+                  "columnVisibility": {
+                    "hiddenColIds": [
+                      "revision_indicator"
+                    ]
+                  },
+                  "columnOrder": {
+                    "orderedColIds": [
+                      "date",
+                      "rate",
+                      "target_range_upper",
+                      "target_range_lower",
+                      "percentile_1",
+                      "percentile_25",
+                      "percentile_75",
+                      "percentile_99",
+                      "volume",
+                      "revision_indicator"
+                    ]
+                  }
+                }
+              }
+            },
+            "groups": [
+              "Group 1"
+            ]
+          },
+          {
+            "i": "fixedincome_rate_overnight_bank_funding_federal_reserve_obb",
+            "x": 19,
+            "y": 2,
+            "w": 21,
+            "h": 18,
+            "state": {
+              "params": {
+                "start_date": "2020-01-01"
+              },
+              "chartModel": {
+                "modelType": "range",
+                "chartType": "customCombo",
+                "chartOptions": {
+                  "line": {
+                    "legend": {
+                      "enabled": false
+                    }
+                  }
+                },
+                "cellRange": {
+                  "columns": [
+                    "date",
+                    "rate"
+                  ]
+                },
+                "suppressChartRanges": true,
+                "seriesChartTypes": [
+                  {
+                    "colId": "rate",
+                    "chartType": "line",
+                    "secondaryAxis": false
+                  },
+                  {
+                    "colId": "percentile_1",
+                    "chartType": "line",
+                    "secondaryAxis": false
+                  },
+                  {
+                    "colId": "percentile_25",
+                    "chartType": "line",
+                    "secondaryAxis": false
+                  },
+                  {
+                    "colId": "percentile_75",
+                    "chartType": "line",
+                    "secondaryAxis": false
+                  },
+                  {
+                    "colId": "percentile_99",
+                    "chartType": "line",
+                    "secondaryAxis": false
+                  },
+                  {
+                    "colId": "volume",
+                    "chartType": "line",
+                    "secondaryAxis": true
+                  }
+                ]
+              },
+              "chartView": {
+                "enabled": true,
+                "chartType": "customCombo"
+              },
+              "columnState": {
+                "default": {
+                  "columnPinning": {
+                    "leftColIds": [
+                      "date"
+                    ],
+                    "rightColIds": []
+                  },
+                  "columnOrder": {
+                    "orderedColIds": [
+                      "date",
+                      "rate",
+                      "percentile_1",
+                      "percentile_25",
+                      "percentile_75",
+                      "percentile_99",
+                      "volume"
+                    ]
+                  }
+                }
+              }
+            },
+            "groups": [
+              "Group 1"
+            ]
+          }
+        ]
+      },
+      "svensson-yield-curve": {
+        "id": "svensson-yield-curve",
+        "name": "Svensson Yield Curve",
+        "layout": [
+          {
+            "i": "fixedincome_government_svensson_yield_curve_federal_reserve_obb",
+            "x": 0,
+            "y": 2,
+            "w": 40,
+            "h": 23,
+            "state": {
+              "params": {
+                "series_type": [
+                  "forward_1y"
+                ],
+                "start_date": "2020-01-01"
+              },
+              "chartModel": {
+                "modelType": "range",
+                "chartType": "line",
+                "chartOptions": {},
+                "cellRange": {
+                  "columns": [
+                    "date",
+                    "sven1f01",
+                    "sven1f04",
+                    "sven1f09"
+                  ]
+                },
+                "suppressChartRanges": true
+              },
+              "chartView": {
+                "enabled": true,
+                "chartType": "line"
+              },
+              "columnState": {
+                "default": {
+                  "columnPinning": {
+                    "leftColIds": [
+                      "date"
+                    ],
+                    "rightColIds": []
+                  },
+                  "columnOrder": {
+                    "orderedColIds": [
+                      "date",
+                      "sven1f01",
+                      "sven1f04",
+                      "sven1f09"
+                    ]
+                  }
+                }
+              }
+            },
+            "groups": [
+              "Group 1"
+            ]
+          }
+        ]
+      },
+      "money-measures": {
+        "id": "money-measures",
+        "name": "Money Measures",
+        "layout": [
+          {
+            "i": "economy_money_measures_federal_reserve_obb",
+            "x": 0,
+            "y": 2,
+            "w": 40,
+            "h": 22,
+            "state": {
+              "params": {
+                "start_date": "2020-01-01",
+                "adjusted": "false"
+              },
+              "chartView": {
+                "enabled": false,
+                "chartType": "line"
+              },
+              "columnState": {
+                "default": {
+                  "columnOrder": {
+                    "orderedColIds": [
+                      "month",
+                      "currency",
+                      "demand_deposits",
+                      "retail_money_market_funds",
+                      "small_denomination_time_deposits",
+                      "other_liquid_deposits",
+                      "m1",
+                      "m2"
+                    ]
+                  }
+                }
+              }
+            },
+            "groups": [
+              "Group 1"
+            ]
+          }
+        ]
+      },
+      "inflation-expectations": {
+        "id": "inflation-expectations",
+        "name": "Inflation Expectations",
+        "layout": [
+          {
+            "i": "economy_survey_inflation_expectations_federal_reserve_obb",
+            "x": 0,
+            "y": 2,
+            "w": 40,
+            "h": 27,
+            "state": {
+              "params": {
+                "start_date": "2020-01-01"
+              },
+              "chartModel": {
+                "modelType": "range",
+                "chartType": "line",
+                "chartOptions": {},
+                "cellRange": {
+                  "columns": [
+                    "date",
+                    "infpgdp1yr",
+                    "infcpi1yr",
+                    "infcpi10yr"
+                  ]
+                },
+                "suppressChartRanges": true
+              },
+              "chartView": {
+                "enabled": true,
+                "chartType": "line"
+              }
+            },
+            "groups": [
+              "Group 1"
+            ]
+          }
+        ]
+      },
+      "central-bank-holdings": {
+        "id": "central-bank-holdings",
+        "name": "Central Bank Holdings",
+        "layout": [
+          {
+            "i": "economy_central_bank_holdings_federal_reserve_obb",
+            "x": 0,
+            "y": 2,
+            "w": 40,
+            "h": 23,
+            "state": {
+              "params": {
+                "monthly": "true"
+              },
+              "chartView": {
+                "enabled": false,
+                "chartType": "line"
+              },
+              "columnState": {
+                "default": {
+                  "columnPinning": {
+                    "leftColIds": [
+                      "date"
+                    ],
+                    "rightColIds": []
+                  },
+                  "columnOrder": {
+                    "orderedColIds": [
+                      "date",
+                      "security_type",
+                      "cusip",
+                      "issuer",
+                      "maturity_date",
+                      "par_value",
+                      "coupon",
+                      "spread",
+                      "percent_outstanding",
+                      "change_prior_week",
+                      "change_prior_year",
+                      "tips_inflation_compensation"
+                    ]
+                  }
+                }
+              }
+            },
+            "groups": []
+          }
+        ]
+      },
+      "primary-dealer-positioning": {
+        "id": "primary-dealer-positioning",
+        "name": "Primary Dealer Positioning",
+        "layout": [
+          {
+            "i": "economy_primary_dealer_positioning_federal_reserve_obb",
+            "x": 0,
+            "y": 2,
+            "w": 20,
+            "h": 23,
+            "state": {
+              "params": {
+                "start_date": "2020-01-01",
+                "category": "bills"
+              },
+              "chartModel": {
+                "modelType": "range",
+                "chartType": "line",
+                "chartOptions": {},
+                "cellRange": {
+                  "columns": [
+                    "date",
+                    "value"
+                  ]
+                },
+                "suppressChartRanges": true
+              },
+              "chartView": {
+                "enabled": false,
+                "chartType": "line"
+              },
+              "columnState": {
+                "default": {
+                  "columnPinning": {
+                    "leftColIds": [
+                      "date",
+                      "symbol",
+                      "title"
+                    ],
+                    "rightColIds": []
+                  },
+                  "columnVisibility": {
+                    "hiddenColIds": [
+                      "symbol",
+                      "name"
+                    ]
+                  },
+                  "columnOrder": {
+                    "orderedColIds": [
+                      "date",
+                      "symbol",
+                      "value",
+                      "title",
+                      "name"
+                    ]
+                  }
+                }
+              }
+            },
+            "groups": [
+              "Group 1"
+            ]
+          },
+          {
+            "i": "economy_primary_dealer_fails_federal_reserve_obb",
+            "x": 20,
+            "y": 2,
+            "w": 20,
+            "h": 23,
+            "state": {
+              "params": {
+                "start_date": "2020-01-01",
+                "asset_class": "treasuries"
+              },
+              "chartModel": {
+                "modelType": "range",
+                "chartType": "line",
+                "chartOptions": {},
+                "cellRange": {
+                  "columns": [
+                    "date",
+                    "value"
+                  ]
+                },
+                "suppressChartRanges": true
+              },
+              "chartView": {
+                "enabled": true,
+                "chartType": "line"
+              },
+              "columnState": {
+                "default": {
+                  "pivot": {
+                    "pivotMode": false,
+                    "pivotColIds": [
+                      "title"
+                    ]
+                  },
+                  "columnPinning": {
+                    "leftColIds": [
+                      "date",
+                      "symbol"
+                    ],
+                    "rightColIds": []
+                  },
+                  "columnOrder": {
+                    "orderedColIds": [
+                      "date",
+                      "title",
+                      "value",
+                      "symbol"
+                    ]
+                  }
+                }
+              }
+            },
+            "groups": [
+              "Group 1"
+            ]
+          }
+        ]
+      },
+      "total-factor-productivity": {
+        "id": "total-factor-productivity",
+        "name": "Total Factor Productivity",
+        "layout": [
+          {
+            "i": "economy_total_factor_productivity_federal_reserve_obb",
+            "x": 0,
+            "y": 2,
+            "w": 40,
+            "h": 12,
+            "state": {
+              "params": {
+                "frequency": "summary"
+              },
+              "chartView": {
+                "enabled": false,
+                "chartType": "line"
+              },
+              "columnState": {
+                "default": {
+                  "columnOrder": {
+                    "orderedColIds": [
+                      "variable",
+                      "variable_title",
+                      "full_sample_mean",
+                      "past_4_quarters",
+                      "past_8_quarters",
+                      "since_2019",
+                      "period_2004_2019",
+                      "period_1995_2004",
+                      "period_1973_1995",
+                      "period_1947_1973"
+                    ]
+                  },
+                  "rowSelection": [
+                    "2"
+                  ]
+                }
+              }
+            },
+            "groups": []
+          },
+          {
+            "i": "economy_total_factor_productivity_federal_reserve_obb",
+            "x": 0,
+            "y": 14,
+            "w": 40,
+            "h": 16,
+            "state": {
+              "params": {
+                "frequency": "annual"
+              },
+              "chartModel": {
+                "modelType": "range",
+                "chartType": "line",
+                "chartOptions": {
+                  "line": {
+                    "legend": {
+                      "enabled": true
+                    }
+                  }
+                },
+                "cellRange": {
+                  "columns": [
+                    "date",
+                    "d_tfp",
+                    "d_hours",
+                    "d_y"
+                  ]
+                },
+                "suppressChartRanges": true
+              },
+              "chartView": {
+                "enabled": true,
+                "chartType": "line"
+              },
+              "columnState": {
+                "default": {
+                  "columnPinning": {
+                    "leftColIds": [
+                      "date"
+                    ],
+                    "rightColIds": []
+                  },
+                  "columnOrder": {
+                    "orderedColIds": [
+                      "date",
+                      "d_y_prod",
+                      "d_y_inc",
+                      "d_y",
+                      "d_hours",
+                      "d_lp",
+                      "d_k",
+                      "d_lq_bls_interpolated",
+                      "d_lq_aaronson_sullivan",
+                      "d_lq",
+                      "alpha",
+                      "d_tfp",
+                      "d_util",
+                      "d_tfp_util",
+                      "relative_price",
+                      "inv_share",
+                      "d_tfp_i",
+                      "d_tfp_c",
+                      "d_u_invest",
+                      "d_u_consumption",
+                      "d_tfp_i_util",
+                      "d_tfp_c_util"
+                    ]
+                  }
+                }
+              }
+            },
+            "groups": []
+          }
+        ]
+      }
+    },
+    "groups": [
+      {
+        "name": "Group 1",
+        "type": "param",
+        "paramName": "start_date",
+        "defaultValue": "2020-01-01"
+      }
+    ]
+  }
+]
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/federal_funds_rate.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/federal_funds_rate.py
@@ -138,4 +138,4 @@ class FederalReserveFederalFundsRateFetcher(
            _ = d.pop("footnoteId", None)
            results.append(FederalReserveFederalFundsRateData.model_validate(d))

-        return results
+        return sorted(results, key=lambda x: x.date)
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/fomc_documents.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/fomc_documents.py
@@ -2,15 +2,27 @@

 # pylint: disable=unused-argument

-from datetime import datetime
+from datetime import (
+    date as dateType,
+    datetime,
+)
 from typing import Any

+from openbb_core.app.service.system_service import SystemService
 from openbb_core.provider.abstract.data import Data
 from openbb_core.provider.abstract.fetcher import Fetcher
 from openbb_core.provider.abstract.query_params import QueryParams
 from openbb_core.provider.utils.errors import EmptyDataError
 from openbb_federal_reserve.utils.fomc_documents import FomcDocumentType
-from pydantic import Field, field_validator
+from pydantic import ConfigDict, Field, field_validator
+
+api_prefix = (
+    SystemService()
+    .system_settings.python_settings.model_dump()
+    .get("api_settings", {})
+    .get("prefix", "")
+    or "/api/v1"
+)

 choice_types = list(FomcDocumentType.__args__)
 choices = [
@@ -45,17 +57,10 @@ class FederalReserveFomcDocumentsQueryParams(QueryParams):
        },
        "document_type": {
            "x-widget_config": {
-                "type": "text",
-                "value": None,
                "options": choices,
+                "description": "Filter by document type. Default is all.",
            }
        },
-        "pdf_only": {
-            "x-widget_config": {"value": True, "type": "boolean", "show": False}
-        },
-        "as_choices": {
-            "x-widget_config": {"value": True, "type": "boolean", "show": False}
-        },
    }

    year: int | None = Field(
@@ -66,15 +71,6 @@ class FederalReserveFomcDocumentsQueryParams(QueryParams):
        default=None,
        description=f"Filter by document type. Default is all. Choose from: {', '.join(choice_types)}",
    )
-    pdf_only: bool = Field(
-        default=False,
-        description="Whether to return as a list with only the PDF documents. Default is False.",
-    )
-    as_choices: bool = Field(
-        default=False,
-        description="Whether to return cast as a list of valid Workspace parameter choices."
-        + " Leave as False for typical use.",
-    )

    @field_validator("document_type", mode="before", check_fields=False)
    @classmethod
@@ -90,19 +86,55 @@ class FederalReserveFomcDocumentsQueryParams(QueryParams):
 class FederalReserveFomcDocumentsData(Data):
    """Federal Reserve FOMC Documents Data."""

-    content: Any = Field(
-        default=None,
-        description="The content of request results."
-        + " If `url` was provided, the content is a dictionary with keys `filename` and `content`."
-        + " Otherwise, it is a list of dictionaries with a mapping of FOMC documents to URLs."
-        + " The endpoint response will not be an OBBject.results object, but the content directly.",
+    model_config = ConfigDict(
+        json_schema_extra={
+            "x-widget_config": {
+                "$.type": "multi_file_viewer",
+                "$.name": "FOMC PDF Document Viewer",
+                "$.description": "Current and historical FOMC PDF materials.",
+                "$.gridData": {
+                    "w": 30,
+                    "h": 27,
+                },
+                "$.refetchInterval": False,
+                "$.endpoint": f"{api_prefix}/federal_reserve/fomc_documents_download",
+                "$.params": [
+                    {
+                        "type": "endpoint",
+                        "paramName": "url",
+                        "optionsEndpoint": f"{api_prefix}/federal_reserve/fomc_documents_choices",
+                        "optionsParams": {
+                            "document_type": "$document_type",
+                            "year": "$year",
+                        },
+                        "show": False,
+                        "multiSelect": True,
+                        "roles": ["fileSelector"],
+                    },
+                ],
+                "$.data": {},
+            }
+        }
+    )
+
+    date: dateType = Field(
+        description="The date of the document, formatted as YYYY-MM-DD.",
+    )
+    doc_type: str = Field(
+        description="The type of the FOMC document.",
+    )
+    doc_format: str = Field(
+        description="The format of the document (e.g., pdf, htm).",
+    )
+    url: str = Field(
+        description="The URL of the document.",
    )


 class FederalReserveFomcDocumentsFetcher(
    Fetcher[
        FederalReserveFomcDocumentsQueryParams,
-        FederalReserveFomcDocumentsData,
+        list[FederalReserveFomcDocumentsData],
    ]
 ):
    """Federal Reserve FOMC Documents Fetcher."""
@@ -115,55 +147,26 @@ class FederalReserveFomcDocumentsFetcher(
        return FederalReserveFomcDocumentsQueryParams(**params)

    @staticmethod
-    def extract_data(
+    async def aextract_data(
        query: FederalReserveFomcDocumentsQueryParams,
        credentials: dict[str, str] | None,
        **kwargs: Any,
-    ) -> dict:
+    ) -> list[dict]:
        """Extract the raw data."""
        # pylint: disable=import-outside-toplevel
        from openbb_federal_reserve.utils.fomc_documents import (
            get_fomc_documents_by_year,
        )

-        docs = get_fomc_documents_by_year(
-            query.year, query.document_type, query.pdf_only
-        )
-
-        if query.as_choices is True:
-            choices_list: list = []
-            for doc in docs:
-                if query.pdf_only is True and doc.get("doc_format", "") != "pdf":
-                    continue
-                title = (
-                    doc.get("doc_type", "").replace("_", " ").title()
-                    + " - "
-                    + doc.get("date", "")
-                )
-                value = doc.get("url", "")
-                if title and value:
-                    choices_list.append(
-                        {
-                            "label": title,
-                            "value": value,
-                        }
-                    )
-
-            output = {"content": choices_list}
-
-            return output
-
-        output = {"content": docs}
-
-        return output
+        return get_fomc_documents_by_year(query.year, query.document_type)

    @staticmethod
    def transform_data(
        query: FederalReserveFomcDocumentsQueryParams,
-        data: dict,
+        data: list[dict],
        **kwargs: Any,
-    ) -> FederalReserveFomcDocumentsData:
+    ) -> list[FederalReserveFomcDocumentsData]:
        """Transform data."""
        if not data:
            raise EmptyDataError("No FOMC documents found.")
-        return FederalReserveFomcDocumentsData(content=data.get("content"))
+        return [FederalReserveFomcDocumentsData.model_validate(d) for d in data]
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/inflation_expectations.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/inflation_expectations.py
@@ -0,0 +1,200 @@
+"""Survey of Professional Forecasters - Inflation Expectations Data Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import date as dateType
+from typing import Any
+
+from openbb_core.app.model.abstract.error import OpenBBError
+from openbb_core.provider.abstract.data import Data
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.abstract.query_params import QueryParams
+from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
+from openbb_core.provider.utils.lru import ttl_cache
+from pydantic import AliasGenerator, ConfigDict, Field
+
+URL = (
+    "https://www.philadelphiafed.org/-/media/FRBP/Assets/Surveys-And-Data"
+    "/survey-of-professional-forecasters/historical-data/Inflation.xlsx"
+)
+
+
+@ttl_cache(ttl=86400)
+def download_inflation_excel() -> bytes:
+    """Download the Inflation Expectations Excel file from the Philadelphia Fed.
+
+    Returns:
+        bytes: The Excel file content.
+    """
+    # pylint: disable=import-outside-toplevel
+    from openbb_core.provider.utils.helpers import make_request
+
+    response = make_request(URL)
+    response.raise_for_status()
+
+    return response.content
+
+
+class FederalReserveInflationExpectationsQueryParams(QueryParams):
+    """Federal Reserve Inflation Expectations Query Parameters."""
+
+    start_date: dateType | None = Field(
+        default=None,
+        description=QUERY_DESCRIPTIONS.get("start_date", "")
+        + " Data begins from 1970-04-01 and is quarterly.",
+    )
+    end_date: dateType | None = Field(
+        default=None,
+        description=QUERY_DESCRIPTIONS.get("end_date", ""),
+    )
+
+
+class FederalReserveInflationExpectationsData(Data):
+    """Survey of Professional Forecasters Inflation Expectations Data.
+
+    Contains one-year-ahead and ten-year-ahead inflation forecasts from the
+    Philadelphia Fed's Survey of Professional Forecasters.
+
+    The one-year-ahead series are expectations for average inflation over the
+    four quarters following the survey quarter.
+
+    Source: https://www.philadelphiafed.org/surveys-and-data/real-time-data-research/inflation-forecasts
+    """
+
+    model_config = ConfigDict(
+        populate_by_name=True,
+        alias_generator=AliasGenerator(
+            validation_alias=lambda field_name: field_name,
+            serialization_alias=lambda field_name: field_name,
+        ),
+        json_schema_extra={
+            "x-widget_config": {
+                "description": "One-year-ahead and ten-year-ahead inflation forecasts "
+                "from the Philadelphia Fed's Survey of Professional Forecasters."
+            }
+        },
+    )
+
+    date: dateType = Field(
+        description="The date of the survey (first day of the survey quarter).",
+        title="Date",
+    )
+    infpgdp1yr: float | None = Field(
+        default=None,
+        description=(
+            "One-year-ahead annual-average GDP price index inflation forecast. "
+            "Computed from median forecasts of GDP price index levels (PGDP2 and PGDP6). "
+            "Formula: ((PGDP6/PGDP2) - 1) * 100. Available from 1970:Q2."
+        ),
+        title="GDP Deflator Inflation (1-Year)",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    infcpi1yr: float | None = Field(
+        default=None,
+        description=(
+            "One-year-ahead annual-average CPI inflation forecast. "
+            "Computed as the geometric average of quarter-over-quarter median CPI forecasts "
+            "(CPI3 to CPI6). Available from 1981:Q3."
+        ),
+        title="CPI Inflation (1-Year)",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    infcpi10yr: float | None = Field(
+        default=None,
+        description=(
+            "Ten-year-ahead annual-average CPI inflation forecast. "
+            "Expected average annual rate of CPI inflation over the next 10 years. "
+            "Available from 1991:Q4."
+        ),
+        title="CPI Inflation (10-Year)",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+
+
+class FederalReserveInflationExpectationsFetcher(
+    Fetcher[
+        FederalReserveInflationExpectationsQueryParams,
+        list[FederalReserveInflationExpectationsData],
+    ]
+):
+    """Federal Reserve Inflation Expectations Fetcher."""
+
+    @staticmethod
+    def transform_query(
+        params: dict[str, Any],
+    ) -> FederalReserveInflationExpectationsQueryParams:
+        """Transform input parameters into query params."""
+        return FederalReserveInflationExpectationsQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: FederalReserveInflationExpectationsQueryParams,
+        credentials: dict[str, str] | None,
+        **kwargs: Any,
+    ) -> dict:
+        """Download the Excel data from the Philadelphia Fed."""
+        try:
+            return {"file": download_inflation_excel()}
+        except Exception as e:  # pylint: disable=broad-except
+            raise OpenBBError(e) from e
+
+    @staticmethod
+    def transform_data(
+        query: FederalReserveInflationExpectationsQueryParams,
+        data: dict,
+        **kwargs: Any,
+    ) -> list[FederalReserveInflationExpectationsData]:
+        """Transform the Excel data into validated Pydantic models."""
+        # pylint: disable=import-outside-toplevel
+        from io import BytesIO  # noqa
+        from openpyxl import load_workbook
+        from pandas import DataFrame, to_datetime
+
+        wb = load_workbook(
+            filename=BytesIO(data["file"]),
+            read_only=True,
+            data_only=True,
+            keep_vba=False,
+        )
+        ws = wb["INFLATION"]
+        df = DataFrame(ws.values)
+        df.columns = df.iloc[0]
+        df = df.iloc[1:]
+        wb.close()
+        df.columns = df.columns.str.lower()
+        quarter_to_month = {1: 1, 2: 4, 3: 7, 4: 10}
+        df["date"] = to_datetime(
+            df["year"].astype(int).astype(str)
+            + "-"
+            + df["quarter"].map(quarter_to_month).astype(str)
+            + "-01"
+        ).dt.date
+
+        # Apply date filters
+        if query.start_date:
+            df = df[df["date"] >= query.start_date]
+
+        if query.end_date:
+            df = df[df["date"] <= query.end_date]
+
+        df = (
+            df[["date", "infpgdp1yr", "infcpi1yr", "infcpi10yr"]]
+            .replace({"#N/A": None})
+            .set_index("date")
+            .sort_index()
+            .dropna(how="all", axis=0)
+            .reset_index()
+        )
+
+        results = [
+            FederalReserveInflationExpectationsData.model_validate(row.to_dict())
+            for _, row in df.iterrows()
+        ]
+
+        if not results:
+            raise OpenBBError(
+                "The query filters resulted in no data. "
+                "Try again with different date parameters."
+            )
+
+        return results
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/money_measures.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/money_measures.py
@@ -12,8 +12,8 @@ from openbb_core.provider.standard_models.money_measures import (
 )

 titles = {
-    "M1": "M1",
-    "M2": "M2",
+    "M1": "m1",
+    "M2": "m2",
    "MCU": "currency",
    "MDD": "demand_deposits",
    "MMFGB": "retail_money_market_funds",
@@ -109,4 +109,4 @@ class FederalReserveMoneyMeasuresFetcher(
                    d[k] = None
            fed_data.append(FederalReserveMoneyMeasuresData.model_validate(d))

-        return fed_data
+        return sorted(fed_data, key=lambda x: x.month)
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/overnight_bank_funding_rate.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/overnight_bank_funding_rate.py
@@ -119,4 +119,4 @@ class FederalReserveOvernightBankFundingRateFetcher(
            _ = d.pop("footnoteId", None)
            results.append(FederalReserveOvernightBankFundingRateData.model_validate(d))

-        return results
+        return sorted(results, key=lambda x: x.date)
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/primary_dealer_positioning.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/primary_dealer_positioning.py
@@ -65,6 +65,7 @@ class FederalReservePrimaryDealerPositioningData(PrimaryDealerPositioningData):
        json_schema_extra={
            "x-unit_measurement": "currency",
            "x-frontend_multiply": 1e6,
+            "x-widget_config": {"prefix": "$", "suffix": "M"},
        },
    )
    name: str = Field(
@@ -145,8 +146,15 @@ class FederalReservePrimaryDealerPositioningFetcher(
            lambda x: POSITION_SERIES_TO_FIELD["dealer_position"].get(x)
        )
        df["title"] = df.symbol.map(lambda x: POSITION_SERIES_TO_TITLE.get(x))
+        df["date"] = df["date"].astype("datetime64[ns]").dt.date
+
+        if query.start_date:
+            df = df[df["date"] >= query.start_date]
+
+        if query.end_date:
+            df = df[df["date"] <= query.end_date]

        return [
            FederalReservePrimaryDealerPositioningData.model_validate(d)
-            for d in df.to_dict(orient="records")
+            for d in df.sort_values(by="date").to_dict(orient="records")
        ]
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/sofr.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/sofr.py
@@ -15,11 +15,11 @@ from pydantic import field_validator


 class FederalReserveSOFRQueryParams(SOFRQueryParams):
-    """FederalReserve FED Query."""
+    """Federal Reserve SOFR Query."""


 class FederalReserveSOFRData(SOFRData):
-    """FederalReserve FED Data."""
+    """Federal Reserve SOFR Data."""

    __alias_dict__ = {
        "date": "effectiveDate",
@@ -105,4 +105,4 @@ class FederalReserveSOFRFetcher(
            _ = d.pop("revisionIndicator", None)
            results.append(FederalReserveSOFRData.model_validate(d))

-        return results
+        return sorted(results, key=lambda x: x.date)
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/svensson_yield_curve.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/svensson_yield_curve.py
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/total_factor_productivity.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/models/total_factor_productivity.py
@@ -0,0 +1,632 @@
+"""Federal Reserve Total Factor Productivity Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import date as dateType
+from typing import Any, Literal
+
+from openbb_core.app.model.abstract.error import OpenBBError
+from openbb_core.provider.abstract.data import Data
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.abstract.query_params import QueryParams
+from openbb_core.provider.utils.descriptions import (
+    DATA_DESCRIPTIONS,
+    QUERY_DESCRIPTIONS,
+)
+from openbb_core.provider.utils.lru import ttl_cache
+from pydantic import ConfigDict, Field, model_serializer
+
+TFP_URL = "http://www.frbsf.org/economic-research/files/quarterly_tfp.xlsx"
+
+EXCEL_TO_FIELD = {
+    "dY_prod": "d_y_prod",
+    "dY_inc": "d_y_inc",
+    "dY": "d_y",
+    "dhours": "d_hours",
+    "dLP": "d_lp",
+    "dk": "d_k",
+    "dLQ_BLS_interpolated": "d_lq_bls_interpolated",
+    "dLQ_Aaronson_Sullivan": "d_lq_aaronson_sullivan",
+    "dLQ": "d_lq",
+    "alpha": "alpha",
+    "dtfp": "d_tfp",
+    "dutil": "d_util",
+    "dtfp_util": "d_tfp_util",
+    "relativePrice": "relative_price",
+    "invShare": "inv_share",
+    "dtfp_I": "d_tfp_i",
+    "dtfp_C": "d_tfp_c",
+    "du_invest": "d_u_invest",
+    "du_consumption": "d_u_consumption",
+    "dtfp_I_util": "d_tfp_i_util",
+    "dtfp_C_util": "d_tfp_c_util",
+}
+
+NUMERIC_FIELDS = tuple(EXCEL_TO_FIELD.values())
+
+SUMMARY_FIELDS = (
+    "full_sample_mean",
+    "past_4_quarters",
+    "past_8_quarters",
+    "since_2019",
+    "period_2004_2019",
+    "period_1995_2004",
+    "period_1973_1995",
+    "period_1947_1973",
+)
+
+ALL_FLOAT_FIELDS = NUMERIC_FIELDS + SUMMARY_FIELDS
+
+PERIOD_COLUMN_MAP = {
+    "Full sample mean": "full_sample_mean",
+    "1947:1-1973:1": "period_1947_1973",
+    "1973:1-1995:4": "period_1973_1995",
+    "1995:4-2004:4": "period_1995_2004",
+    "2004:4-2019:4": "period_2004_2019",
+    "Since 2019:4": "since_2019",
+    "Past 8 qtrs": "past_8_quarters",
+    "Past 4 qtrs": "past_4_quarters",
+}
+
+VARIABLE_TITLES = {
+    "d_y_prod": "Output (Product Side)",
+    "d_y_inc": "Output (Income Side)",
+    "d_y": "Output",
+    "d_hours": "Hours",
+    "d_lp": "Labor Productivity",
+    "d_k": "Capital Input",
+    "d_lq_bls_interpolated": "Labor Quality (BLS Interpolated)",
+    "d_lq_aaronson_sullivan": "Labor Quality (Aaronson-Sullivan)",
+    "d_lq": "Labor Quality",
+    "alpha": "Capital Share",
+    "d_tfp": "TFP",
+    "d_util": "Utilization",
+    "d_tfp_util": "Utilization-Adjusted TFP",
+    "relative_price": "Relative Price",
+    "inv_share": "Investment Share",
+    "d_tfp_i": "TFP (Investment)",
+    "d_tfp_c": "TFP (Consumption)",
+    "d_u_invest": "Utilization (Investment)",
+    "d_u_consumption": "Utilization (Consumption)",
+    "d_tfp_i_util": "Utilization-Adjusted TFP (Investment)",
+    "d_tfp_c_util": "Utilization-Adjusted TFP (Consumption)",
+}
+
+TIME_SERIES_FIELDS = {"date", *NUMERIC_FIELDS}
+
+SUMMARY_RECORD_FIELDS = {"variable", "variable_title", *SUMMARY_FIELDS}
+
+
+@ttl_cache(ttl=86400)
+def download_tfp_excel() -> bytes:
+    """Download the TFP Excel file from the San Francisco Federal Reserve.
+
+    Returns:
+        bytes: The Excel file content.
+    """
+    # pylint: disable=import-outside-toplevel
+    from openbb_core.provider.utils.helpers import make_request
+
+    response = make_request(TFP_URL)
+    response.raise_for_status()
+
+    return response.content
+
+
+class FederalReserveTfpQueryParams(QueryParams):
+    """Federal Reserve Total Factor Productivity Query Parameters.
+
+    This data contains Total Factor Productivity estimates from the
+    San Francisco Federal Reserve, including quarterly and annual time series
+    as well as summary statistics across different time periods.
+
+    Source: http://www.frbsf.org/economic-research/indicators-data/total-factor-productivity-tfp/
+    """
+
+    frequency: Literal["quarter", "annual", "summary"] = Field(
+        default="quarter",
+        description="Type of data to return. "
+        "'quarter' for quarterly time series, "
+        "'annual' for annual time series, "
+        "'summary' for summary statistics (period means).",
+    )
+    start_date: dateType | None = Field(
+        default=None,
+        description=QUERY_DESCRIPTIONS.get("start_date", "")
+        + " Only applicable for time series data (quarter/annual).",
+    )
+    end_date: dateType | None = Field(
+        default=None,
+        description=QUERY_DESCRIPTIONS.get("end_date", "")
+        + " Only applicable for time series data (quarter/annual).",
+    )
+
+
+class FederalReserveTfpTimeSeriesData(Data):
+    """Federal Reserve Total Factor Productivity time series fields.
+
+    Base class containing time series specific fields.
+    """
+
+    model_config = ConfigDict(populate_by_name=True)
+
+    date: dateType | None = Field(
+        default=None,
+        description=DATA_DESCRIPTIONS.get("date", ""),
+    )
+    d_y_prod: float | None = Field(
+        default=None,
+        title="Output (Product Side)",
+        description=(
+            "Business output, expenditure (product) side. "
+            "From NIPA tables, Gross Value Added: Total Business: Quantity Index."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_y_inc: float | None = Field(
+        default=None,
+        title="Output (Income Side)",
+        description=(
+            "Business output, measured from income side. "
+            "Nominal business output is GDI less nominal non-business output. "
+            "Real business income uses expenditure-side deflator."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_y: float | None = Field(
+        default=None,
+        title="Output",
+        description=(
+            "Output. Average of d_y_prod and d_y_inc (weighted equally). "
+            "If d_y_inc not yet available, equals d_y_prod."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_hours: float | None = Field(
+        default=None,
+        title="Hours",
+        description="Hours worked in the business sector. From BLS productivity and cost release.",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_lp: float | None = Field(
+        default=None,
+        title="Labor Productivity",
+        description=(
+            "Business-sector labor productivity, defined as d_y - d_hours. "
+            "Note: Labor productivity in the BLS productivity-and-cost release equals d_y_prod - d_hours."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_k: float | None = Field(
+        default=None,
+        title="Capital Input",
+        description=(
+            "Capital input. Perpetual inventory stocks calculated from disaggregated quarterly NIPA "
+            "investment data, then growth rates are weighted by estimated rental prices."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_lq_bls_interpolated: float | None = Field(
+        default=None,
+        title="Labor Quality (BLS Interpolated)",
+        description=(
+            "Labor composition/quality from BLS. Pre-1979 is interpolated annual BLS MFP estimate "
+            "of labor composition (interpolated using Denton (1971) relative to changes in hours)."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_lq_aaronson_sullivan: float | None = Field(
+        default=None,
+        title="Labor Quality (Aaronson-Sullivan)",
+        description=(
+            "Labor composition/quality following Aaronson-Sullivan. 1979:Q1 - present follows "
+            "Aaronson and Sullivan (2001), as extended by Bart Hobijn and Joyce Kwok (FRBSF)."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_lq: float | None = Field(
+        default=None,
+        title="Labor Quality",
+        description=(
+            "Labor composition/quality actually used. Pre-1979 is d_lq_bls_interpolated, "
+            "1979:Q1 onward uses d_lq_aaronson_sullivan."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    alpha: float | None = Field(
+        default=None,
+        title="Capital Share",
+        description=(
+            "Capital's share of income (ratio between 0 and 1). Based primarily on NIPA data for "
+            "the corporate sector, assuming private noncorporate factor shares match corporate shares."
+        ),
+    )
+    d_tfp: float | None = Field(
+        default=None,
+        title="TFP",
+        description=(
+            "Business sector Total Factor Productivity. Calculated as d_y - alpha*d_k - "
+            "(1-alpha)*(d_hours+d_lq), i.e., output growth less the contribution of capital and labor."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_util: float | None = Field(
+        default=None,
+        title="Utilization",
+        description=(
+            "Utilization adjustment for capital and labor. Uses Basu, Fernald, Fisher, and Kimball "
+            "(2013) estimates applied to quarterly data."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_tfp_util: float | None = Field(
+        default=None,
+        title="Utilization-Adjusted TFP",
+        description=(
+            "Utilization-adjusted Total Factor Productivity. Calculated as d_tfp - d_util, "
+            "adjusting for variations in factor utilization."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    relative_price: float | None = Field(
+        default=None,
+        title="Relative Price",
+        description=(
+            "Relative price growth of 'consumption' to price of 'equipment'. Measures the relative "
+            "price of non-equipment goods and services to price of equipment (with consumer durables "
+            "classified as equipment)."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    inv_share: float | None = Field(
+        default=None,
+        title="Investment Share",
+        description=(
+            "Equipment and consumer durables share of business output (ratio between 0 and 1). "
+            "Represents the proportion of output devoted to equipment investment and consumer durables."
+        ),
+    )
+    d_tfp_i: float | None = Field(
+        default=None,
+        title="TFP (Investment)",
+        description=(
+            "TFP in equipment and consumer durables sector. Calculated from d_tfp assuming that "
+            "relative price growth reflects relative TFP growth."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_tfp_c: float | None = Field(
+        default=None,
+        title="TFP (Consumption)",
+        description=(
+            "TFP in non-equipment business output ('consumption' goods and services). Calculated from "
+            "d_tfp assuming that relative price growth reflects relative TFP growth."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_u_invest: float | None = Field(
+        default=None,
+        title="Utilization (Investment)",
+        description=(
+            "Utilization adjustment in producing investment goods. Uses estimates from Basu, Fernald, "
+            "Fisher, and Kimball to calculate utilization for producing equipment and consumer durables."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_u_consumption: float | None = Field(
+        default=None,
+        title="Utilization (Consumption)",
+        description=(
+            "Utilization adjustment in producing non-investment business output ('consumption'). Uses "
+            "estimates from Basu, Fernald, Fisher, and Kimball to calculate utilization for producing "
+            "non-investment goods and services."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_tfp_i_util: float | None = Field(
+        default=None,
+        title="Utilization-Adjusted TFP (Investment)",
+        description=(
+            "Utilization-adjusted TFP in producing equipment and consumer durables. "
+            "Calculated as d_tfp_i - d_u_invest."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    d_tfp_c_util: float | None = Field(
+        default=None,
+        title="Utilization-Adjusted TFP (Consumption)",
+        description=(
+            "Utilization-adjusted TFP in producing non-equipment business output ('consumption'). "
+            "Calculated as d_tfp_c - d_u_consumption."
+        ),
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+
+
+class FederalReserveTfpSummaryData(Data):
+    """Federal Reserve Total Factor Productivity summary fields.
+
+    Base class containing summary statistics specific fields.
+    """
+
+    model_config = ConfigDict(populate_by_name=True)
+
+    variable: str | None = Field(
+        default=None,
+        title="Variable",
+        description="The variable name (e.g., 'd_y', 'd_tfp', 'd_tfp_util').",
+    )
+    variable_title: str | None = Field(
+        default=None,
+        title="Variable Title",
+        description="Human-readable title for the variable.",
+    )
+    full_sample_mean: float | None = Field(
+        default=None,
+        title="Full Sample Mean",
+        description="Mean value over the full sample period.",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    past_4_quarters: float | None = Field(
+        default=None,
+        title="Past 4 Quarters",
+        description="Mean value over the past 4 quarters.",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    past_8_quarters: float | None = Field(
+        default=None,
+        title="Past 8 Quarters",
+        description="Mean value over the past 8 quarters.",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    since_2019: float | None = Field(
+        default=None,
+        title="Since 2019:4",
+        description="Mean value since 2019:Q4.",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    period_2004_2019: float | None = Field(
+        default=None,
+        title="2004:4-2019:4",
+        description="Mean value for the period 2004:Q4 to 2019:Q4.",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    period_1995_2004: float | None = Field(
+        default=None,
+        title="1995:4-2004:4",
+        description="Mean value for the period 1995:Q4 to 2004:Q4.",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    period_1973_1995: float | None = Field(
+        default=None,
+        title="1973:1-1995:4",
+        description="Mean value for the period 1973:Q1 to 1995:Q4.",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+    period_1947_1973: float | None = Field(
+        default=None,
+        title="1947:1-1973:1",
+        description="Mean value for the period 1947:Q1 to 1973:Q1.",
+        json_schema_extra={"x-unit_measurement": "percent"},
+    )
+
+
+class FederalReserveTfpData(
+    FederalReserveTfpTimeSeriesData, FederalReserveTfpSummaryData
+):
+    """Federal Reserve Total Factor Productivity data.
+
+    Combined model containing both time series and summary fields.
+
+    For time series data (frequency='quarter' or 'annual'):
+        - date: Date of the observation
+        - d_y_prod, d_y_inc, d_y: Output measures
+        - d_hours, d_lp, d_k: Labor and capital inputs
+        - d_tfp, d_tfp_util: TFP measures
+        - And other productivity variables
+
+    For summary data (frequency='summary'):
+        - variable: The variable name
+        - full_sample_mean: Mean over full sample
+        - period_*: Means for specific time periods
+        - past_*_quarters: Recent period means
+
+    Source: http://www.frbsf.org/economic-research/indicators-data/total-factor-productivity-tfp/
+    """
+
+    model_config = ConfigDict(
+        json_schema_extra={
+            "x-widget_config": {
+                "$.description": "A Quarterly, Utilization-Adjusted Series on Total Factor Productivity (SF Fed)",
+                "$.refetchInterval": False,
+            }
+        },
+        populate_by_name=True,
+    )
+
+    @classmethod
+    def __get_pydantic_json_schema__(  # pylint: disable=W0221
+        cls, core_schema, handler
+    ) -> dict[str, Any]:
+        """Override JSON schema generation to preserve all inherited field properties.
+
+        This method ensures all fields are included in the OpenAPI schema.
+        """
+        json_schema = handler(core_schema)
+
+        if "properties" not in json_schema or not json_schema["properties"]:
+            json_schema["properties"] = {}
+
+            for field_name, field_info in cls.model_fields.items():
+                field_schema: dict[str, Any] = {}
+                annotation = field_info.annotation
+
+                if hasattr(annotation, "__origin__"):
+                    args = getattr(annotation, "__args__", ())
+
+                    if type(None) in args:
+                        inner_type = next((a for a in args if a is not type(None)), str)
+
+                        if inner_type is float:
+                            field_schema["anyOf"] = [
+                                {"type": "number"},
+                                {"type": "null"},
+                            ]
+                        elif inner_type is str:
+                            field_schema["anyOf"] = [
+                                {"type": "string"},
+                                {"type": "null"},
+                            ]
+                        else:
+                            field_schema["anyOf"] = [
+                                {"type": "string", "format": "date"},
+                                {"type": "null"},
+                            ]
+                else:
+                    field_schema["type"] = "string"
+
+                field_schema["default"] = field_info.default
+                field_schema["title"] = (
+                    field_info.title or field_name.replace("_", " ").title()
+                )
+
+                if field_info.description:
+                    field_schema["description"] = field_info.description
+
+                if field_info.json_schema_extra:
+                    field_schema.update(field_info.json_schema_extra)
+
+                json_schema["properties"][field_name] = field_schema
+
+        # Preserve x-widget_config from model_config.json_schema_extra
+        config_extra = cls.model_config.get("json_schema_extra", {})
+        if "x-widget_config" in config_extra:
+            json_schema["x-widget_config"] = config_extra["x-widget_config"]
+
+        return json_schema
+
+    @model_serializer(mode="wrap")
+    def _serialize(self, handler) -> dict[str, Any]:
+        """Serialize only relevant fields based on record type."""
+        data = handler(self)
+
+        if self.variable is not None:
+            return {k: v for k, v in data.items() if k in SUMMARY_RECORD_FIELDS}
+
+        return {k: v for k, v in data.items() if k in TIME_SERIES_FIELDS}
+
+
+class FederalReserveTfpFetcher(
+    Fetcher[FederalReserveTfpQueryParams, list[FederalReserveTfpData]]
+):
+    """Federal Reserve Total Factor Productivity Fetcher."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> FederalReserveTfpQueryParams:
+        """Transform input parameters into FederalReserveTfpQueryParams."""
+        return FederalReserveTfpQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: FederalReserveTfpQueryParams,
+        credentials: dict[str, str] | None,
+        **kwargs: Any,
+    ) -> dict:
+        """Download the Excel data from the San Francisco Federal Reserve."""
+        try:
+            return {"file": download_tfp_excel()}
+        except Exception as e:  # pylint: disable=broad-except
+            raise OpenBBError(e) from e
+
+    @staticmethod
+    def transform_data(
+        query: FederalReserveTfpQueryParams,
+        data: dict,
+        **kwargs: Any,
+    ) -> list[FederalReserveTfpData]:
+        """Transform the Excel data into validated Pydantic models."""
+        # pylint: disable=import-outside-toplevel
+        from io import BytesIO  # noqa
+        import numpy as np
+        import pandas as pd
+
+        excel_file = pd.ExcelFile(BytesIO(data["file"]))
+        frequency = query.frequency
+        sheet_name = "quarterly" if frequency in ("quarter", "summary") else "annual"
+        skiprows = 1 if sheet_name == "quarterly" else None
+        df = pd.read_excel(excel_file, sheet_name=sheet_name, skiprows=skiprows)
+        date_col = df.columns[0]
+
+        # Rename Excel columns to snake_case field names
+        df = df.rename(columns=EXCEL_TO_FIELD)
+
+        if sheet_name == "quarterly":
+            valid_mask = df[date_col].astype(str).str.match(r"^\d{4}:Q[1-4]$")
+        else:
+            valid_mask = df[date_col].apply(
+                lambda x: np.issubdtype(type(x), np.integer)
+                or (isinstance(x, float) and x == int(x))
+            )
+
+        if frequency == "summary":
+            # Summary rows are those that don't match the date pattern
+            summary_df = df[~valid_mask].copy()
+            summary_df = summary_df.rename(columns={date_col: "period"})
+            summary_df = summary_df[summary_df["period"].isin(PERIOD_COLUMN_MAP.keys())]
+            summary_df = summary_df.set_index("period").T.reset_index()
+            summary_df = summary_df.rename(
+                columns={"index": "variable", **PERIOD_COLUMN_MAP}
+            )
+            summary_df["variable_title"] = summary_df["variable"].map(VARIABLE_TITLES)
+            summary_df = summary_df.replace({np.nan: None})
+
+            results: list[FederalReserveTfpData] = [
+                FederalReserveTfpData.model_validate(row.to_dict())
+                for _, row in summary_df.iterrows()
+            ]
+
+            if not results:
+                raise OpenBBError(
+                    "No summary data found. The data source may have changed."
+                )
+
+            return results
+
+        # Time series data
+        data_df = df[valid_mask].copy()
+
+        if frequency == "quarter":
+            # Convert "YYYY:QN" to proper dates
+            date_series = pd.PeriodIndex(
+                data_df[date_col].str.replace(":", ""), freq="Q"
+            ).to_timestamp()
+            data_df[date_col] = date_series.date
+        else:
+            # Annual: convert year to January 1 of that year
+            data_df[date_col] = pd.to_datetime(
+                data_df[date_col].astype(int), format="%Y"
+            ).dt.date
+
+        data_df = data_df.rename(columns={date_col: "date"})
+
+        # Apply date filters
+        if query.start_date:
+            data_df = data_df[data_df["date"] >= query.start_date]
+
+        if query.end_date:
+            data_df = data_df[data_df["date"] <= query.end_date]
+
+        data_df = data_df.replace({np.nan: None})
+
+        results = [
+            FederalReserveTfpData.model_validate(row.to_dict())
+            for _, row in data_df.iterrows()
+        ]
+
+        if not results:
+            raise OpenBBError(
+                "The query filters resulted in no data. "
+                "Try again with different date parameters."
+            )
+
+        return results
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/router.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/router.py
@@ -0,0 +1,141 @@
+"""OpenBB Federal Reserve Router Module."""
+
+from typing import Annotated
+
+from fastapi import APIRouter, Body
+from openbb_core.app.model.abstract.error import OpenBBError
+
+router = APIRouter()
+
+
+@router.get("/apps.json", include_in_schema=False)
+async def get_apps_json():
+    """Get the apps.json for the Federal Reserve provider."""
+    # pylint: disable=import-outside-toplevel
+    import json
+    from pathlib import Path
+
+    apps_json_path = Path(__file__).parent / "assets" / "apps.json"
+    with open(apps_json_path, encoding="utf-8") as file:
+        apps_data = json.load(file)
+    return apps_data
+
+
+@router.post(
+    "/fomc_documents_download",
+    include_in_schema=False,
+    openapi_extra={},
+)
+async def fomc_documents_download(params: Annotated[dict, Body()]) -> list:
+    """Download FOMC documents from the Federal Reserve's website.
+
+    PDFs are base64 encoded under the `content` key in the response.
+
+    Parameters
+    ----------
+    params : dict
+        A dictionary with a key "url" containing a list of URLs to download.
+
+    Returns
+    -------
+    list
+        A list of dictionaries, each containing keys `filename`, `content`, and `data_format`.
+    """
+    # pylint: disable=import-outside-toplevel
+    import base64  # noqa
+    from io import BytesIO
+    from urllib.parse import urlparse
+    from openbb_core.provider.utils.helpers import make_request
+
+    urls = params.get("url", [])
+    results: list = []
+
+    for url in urls:
+        parsed_url = urlparse(url)
+        hostname = parsed_url.hostname or ""
+
+        if parsed_url.scheme != "https" or hostname not in {
+            "www.federalreserve.gov",
+            "federalreserve.gov",
+        }:
+            raise OpenBBError(
+                "Invalid URL provided for download. Must be from federalreserve.gov -> "
+                + url
+            )
+
+        is_pdf = url.lower().endswith(".pdf")
+
+        if (
+            not is_pdf
+            and not url.lower().endswith(".htm")
+            and not url.lower().endswith(".html")
+        ):
+            raise OpenBBError(
+                "Unsupported document format. File must be PDF or HTM type -> " + url
+            )
+
+        try:
+            response = make_request(url)
+            response.raise_for_status()
+            pdf = (
+                base64.b64encode(BytesIO(response.content).getvalue()).decode("utf-8")
+                if isinstance(response.content, bytes)
+                else response.content
+            )
+            results.append(
+                {
+                    "content": pdf,
+                    "data_format": {
+                        "data_type": "pdf" if is_pdf else "markdown",
+                        "filename": url.split("/")[-1],
+                    },
+                }
+            )
+        except Exception as exc:
+            results.append(
+                {
+                    "error_type": "download_error",
+                    "content": f"{exc.__class__.__name__}: {exc.args[0]}",
+                    "filename": url.split("/")[-1],
+                }
+            )
+            continue
+
+    return results
+
+
+@router.get("/fomc_documents_choices", include_in_schema=False)
+async def fomc_documents_choices(
+    year: int | None = None, document_type: str | None = None
+) -> list:
+    """Get the available choices for FOMC document types.
+
+    Returns
+    -------
+    list
+        A list of available document choices with URLs for download.
+    """
+    # pylint: disable=import-outside-toplevel
+    from openbb_federal_reserve.utils.fomc_documents import (
+        get_fomc_documents_by_year,
+    )
+
+    docs = get_fomc_documents_by_year(year, document_type, True)
+    choices_list: list = []
+
+    for doc in docs:
+        title = (
+            doc.get("doc_type", "").replace("_", " ").title()
+            + " - "
+            + doc.get("date", "")
+        )
+        value = doc.get("url", "")
+        if title and value:
+            choices_list.append(
+                {
+                    "label": title,
+                    "value": value,
+                }
+            )
+
+    return choices_list
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/utils/fomc_documents.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/utils/fomc_documents.py
@@ -3,6 +3,8 @@
 from functools import lru_cache
 from typing import Literal

+from openbb_core.provider.utils.lru import ttl_cache
+
 FomcDocumentType = Literal[
    "all",
    "monetary_policy",
@@ -27,18 +29,20 @@ def load_historical_fomc_documents() -> list:
    """Load historical FOMC documents map from the static assets."""
    # pylint: disable=import-outside-toplevel
    import json
+    from pathlib import Path

    historical_docs: list = []
-    historical_docs_path = __file__.replace(
-        "utils/fomc_documents.py", "assets/historical_releases.json"
+    historical_docs_path = (
+        Path(__file__).parent.parent / "assets" / "historical_releases.json"
    )
+
    with open(historical_docs_path, encoding="utf-8") as file:
        historical_docs = json.load(file)

    return historical_docs


-@lru_cache(maxsize=64)
+@ttl_cache(maxsize=1, ttl=3600)
 def get_current_fomc_documents(url: str | None = None) -> list:
    """
    Get the current FOMC documents from https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm.
@@ -123,7 +127,7 @@ def get_current_fomc_documents(url: str | None = None) -> list:
    return data_releases


-@lru_cache(maxsize=32)
+@ttl_cache(maxsize=32, ttl=3600)
 def get_fomc_documents_by_year(
    year: int | None = None,
    document_type: FomcDocumentType | None = None,
--- a/openbb_platform/providers/federal_reserve/openbb_federal_reserve/utils/ny_fed_api.py
+++ b/openbb_platform/providers/federal_reserve/openbb_federal_reserve/utils/ny_fed_api.py
@@ -302,7 +302,7 @@ def _get_endpoints(  # pylint: disable=R0917
 async def fetch_data(url: str) -> dict:
    """Fetch the JSON response from the API."""
    try:
-        response = await amake_request(url)
+        response = await amake_request(url, timeout=30)
    except Exception as e:  # pylint: disable=broad-except
        raise e from e
    return response  # type: ignore
--- a/openbb_platform/providers/federal_reserve/poetry.lock
+++ b/openbb_platform/providers/federal_reserve/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand.

 [[package]]
 name = "aiohappyeyeballs"
@@ -426,6 +426,42 @@ files = [
    {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]

+[[package]]
+name = "deepdiff"
+version = "8.6.1"
+description = "Deep Difference and Search of any Python object/data. Recreate objects by adding adding deltas to each other."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "deepdiff-8.6.1-py3-none-any.whl", hash = "sha256:ee8708a7f7d37fb273a541fa24ad010ed484192cd0c4ffc0fa0ed5e2d4b9e78b"},
+    {file = "deepdiff-8.6.1.tar.gz", hash = "sha256:ec56d7a769ca80891b5200ec7bd41eec300ced91ebcc7797b41eb2b3f3ff643a"},
+]
+
+[package.dependencies]
+orderly-set = ">=5.4.1,<6"
+
+[package.extras]
+cli = ["click (>=8.1.0,<8.2.0)", "pyyaml (>=6.0.0,<6.1.0)"]
+coverage = ["coverage (>=7.6.0,<7.7.0)"]
+dev = ["bump2version (>=1.0.0,<1.1.0)", "ipdb (>=0.13.0,<0.14.0)", "jsonpickle (>=4.0.0,<4.1.0)", "nox (==2025.5.1)", "numpy (>=2.0,<3.0) ; python_version < \"3.10\"", "numpy (>=2.2.0,<2.3.0) ; python_version >= \"3.10\"", "orjson (>=3.10.0,<3.11.0)", "pandas (>=2.2.0,<2.3.0)", "polars (>=1.21.0,<1.22.0)", "python-dateutil (>=2.9.0,<2.10.0)", "tomli (>=2.2.0,<2.3.0)", "tomli-w (>=1.2.0,<1.3.0)", "uuid6 (==2025.0.1)"]
+docs = ["Sphinx (>=6.2.0,<6.3.0)", "sphinx-sitemap (>=2.6.0,<2.7.0)", "sphinxemoji (>=0.3.0,<0.4.0)"]
+optimize = ["orjson"]
+static = ["flake8 (>=7.1.0,<7.2.0)", "flake8-pyproject (>=1.2.3,<1.3.0)", "pydantic (>=2.10.0,<2.11.0)"]
+test = ["pytest (>=8.3.0,<8.4.0)", "pytest-benchmark (>=5.1.0,<5.2.0)", "pytest-cov (>=6.0.0,<6.1.0)", "python-dotenv (>=1.0.0,<1.1.0)"]
+
+[[package]]
+name = "et-xmlfile"
+version = "2.0.0"
+description = "An implementation of lxml.xmlfile for the standard library"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"},
+    {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"},
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.3.1"
@@ -683,158 +719,158 @@ type = ["mypy (<1.19) ; platform_python_implementation == \"PyPy\"", "pytest-myp

 [[package]]
 name = "multidict"
-version = "6.7.0"
+version = "6.7.1"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.9"
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+    {file = "numpy-2.4.1.tar.gz", hash = "sha256:a1ceafc5042451a858231588a104093474c6a5c57dcc724841f5c888d237d690"},
 ]

 [[package]]
 name = "openbb-core"
-version = "1.5.8"
+version = "1.5.9"
 description = "OpenBB package with core functionality."
 optional = false
 python-versions = "<3.14,>=3.10"
 groups = ["main"]
 files = [
-    {file = "openbb_core-1.5.8-py3-none-any.whl", hash = "sha256:d82663d28102f7dd8d0b5bf6e0ee770af04e3c4bd8dc6d06eb39d15be2ca12ce"},
-    {file = "openbb_core-1.5.8.tar.gz", hash = "sha256:e5be811aeb0acd03902ba0850d4bfac5a8feb3bc5fd4f36c6ed088dcd3056d2e"},
+    {file = "openbb_core-1.5.9-py3-none-any.whl", hash = "sha256:de1caece63a0ebbe7bcd1109b6308404ca8f606b855b49d24d42eee4aec7f87f"},
+    {file = "openbb_core-1.5.9.tar.gz", hash = "sha256:a5fdde0269cdbf4eb6e56f1bc5d6e22847a8270d0c8aad42d928b03702cedbbf"},
 ]

 [package.dependencies]
-aiohttp = ">=3.13.2,<4.0.0"
+aiohttp = ">=3.13.3"
 fastapi = ">=0.128.0,<0.129.0"
 html5lib = ">=1.1,<2.0"
 importlib-metadata = ">=6.8.0"
-pandas = ">=1.5.3"
+pandas = ">=1.5.3,<3"
 pydantic = ">=2.12.3,<3.0.0"
 pyjwt = ">=2.10.1,<3.0.0"
 python-dotenv = ">=1.0.0,<2.0.0"
@@ -1017,6 +1053,86 @@ uuid7 = ">=0.1.0,<0.2.0"
 uvicorn = ">=0.40.0,<0.41.0"
 websockets = ">=15.0,<16.0"

+[[package]]
+name = "openbb-economy"
+version = "1.5.1"
+description = "Economy extension for OpenBB"
+optional = false
+python-versions = "<3.14,>=3.10"
+groups = ["main"]
+files = [
+    {file = "openbb_economy-1.5.1-py3-none-any.whl", hash = "sha256:786b9e9b43f7aad5a589601bdc22e0f151c585c85c9f69bf343de0f5c47bd379"},
+    {file = "openbb_economy-1.5.1.tar.gz", hash = "sha256:3a9060f25bdacba5a3e4df82a16dd37f9137d715137317b65b72f6d8460aca9e"},
+]
+
+[package.dependencies]
+openbb-core = ">=1.5.7,<2.0.0"
+
+[[package]]
+name = "openbb-fixedincome"
+version = "1.5.1"
+description = "Fixed income extension for OpenBB"
+optional = false
+python-versions = "<3.14,>=3.10"
+groups = ["main"]
+files = [
+    {file = "openbb_fixedincome-1.5.1-py3-none-any.whl", hash = "sha256:6dc3f2457ac9ab06847c428e799d04ee8fdf2d60ffda2a02ccc651f952724a77"},
+    {file = "openbb_fixedincome-1.5.1.tar.gz", hash = "sha256:904e91959525fc585d2578cf3bf6c700e08310d1388bede349d09451f88bb0e4"},
+]
+
+[package.dependencies]
+openbb-core = ">=1.5.7,<2.0.0"
+
+[[package]]
+name = "openbb-platform-api"
+version = "1.2.3"
+description = "OpenBB Platform API: Launch script and widgets builder for the Open Data Platform REST API and Workspace Backend Connector."
+optional = false
+python-versions = "<3.14,>=3.10"
+groups = ["main"]
+files = [
+    {file = "openbb_platform_api-1.2.3-py3-none-any.whl", hash = "sha256:201d6fcc21f841a61b9170df9beac585bf4f57a4d59d094b16afc8c628cec191"},
+    {file = "openbb_platform_api-1.2.3.tar.gz", hash = "sha256:9d0997de865eb85f6c4a78d6fa87d3bb0037fb52d61c580d1e8d5443b175c2a8"},
+]
+
+[package.dependencies]
+deepdiff = ">=8.6.1"
+openbb-core = ">=1.5.7,<2.0.0"
+
+[[package]]
+name = "openpyxl"
+version = "3.1.5"
+description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2"},
+    {file = "openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050"},
+]
+
+[package.dependencies]
+et-xmlfile = "*"
+
+[[package]]
+name = "orderly-set"
+version = "5.5.0"
+description = "Orderly set"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "orderly_set-5.5.0-py3-none-any.whl", hash = "sha256:46f0b801948e98f427b412fcabb831677194c05c3b699b80de260374baa0b1e7"},
+    {file = "orderly_set-5.5.0.tar.gz", hash = "sha256:e87185c8e4d8afa64e7f8160ee2c542a475b738bc891dc3f58102e654125e6ce"},
+]
+
+[package.extras]
+coverage = ["coverage (>=7.6.0,<7.7.0)"]
+dev = ["bump2version (>=1.0.0,<1.1.0)", "ipdb (>=0.13.0,<0.14.0)"]
+optimize = ["orjson"]
+static = ["flake8 (>=7.1.0,<7.2.0)", "flake8-pyproject (>=1.2.3,<1.3.0)"]
+test = ["pytest (>=8.3.0,<8.4.0)", "pytest-benchmark (>=5.1.0,<5.2.0)", "pytest-cov (>=6.0.0,<6.1.0)", "python-dotenv (>=1.0.0,<1.1.0)"]
+
 [[package]]
 name = "pandas"
 version = "2.3.3"
@@ -1542,14 +1658,14 @@ files = [

 [[package]]
 name = "soupsieve"
-version = "2.8.1"
+version = "2.8.3"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "soupsieve-2.8.1-py3-none-any.whl", hash = "sha256:a11fe2a6f3d76ab3cf2de04eb339c1be5b506a8a47f2ceb6d139803177f85434"},
-    {file = "soupsieve-2.8.1.tar.gz", hash = "sha256:4cf733bc50fa805f5df4b8ef4740fc0e0fa6218cf3006269afd3f9d6d80fd350"},
+    {file = "soupsieve-2.8.3-py3-none-any.whl", hash = "sha256:ed64f2ba4eebeab06cc4962affce381647455978ffc1e36bb79a545b91f45a95"},
+    {file = "soupsieve-2.8.3.tar.gz", hash = "sha256:3267f1eeea4251fb42728b6dfb746edc9acaffc4a45b27e19450b676586e8349"},
 ]

 [[package]]
@@ -1919,4 +2035,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.14"
-content-hash = "0c6fd58e25ed2b3c2a3e56ee27de54350695643c072ff80e79febbee6f602a52"
+content-hash = "bf5ee239f10aa6e2cc346f0550cdaa6a10ea7fb39aff344782c9bc519ac90492"
--- a/openbb_platform/providers/federal_reserve/pyproject.toml
+++ b/openbb_platform/providers/federal_reserve/pyproject.toml
@@ -9,7 +9,11 @@ packages = [{ include = "openbb_federal_reserve" }]

 [tool.poetry.dependencies]
 python = ">=3.10,<3.14"
-openbb-core = "^1.5.8"
+openpyxl = "^3.1.5"
+openbb-core = "^1.5.9"
+openbb-economy = "^1.5.1"
+openbb-fixedincome = "^1.5.1"
+openbb-platform-api = "^1.2.3"
 beautifulsoup4 = "^4.13.4"

 [build-system]
@@ -18,3 +22,6 @@ build-backend = "poetry.core.masonry.api"

 [tool.poetry.plugins."openbb_provider_extension"]
 federal_reserve = "openbb_federal_reserve:federal_reserve_provider"
+
+[tool.poetry.plugins."openbb_core_extension"]
+federal_reserve = "openbb_federal_reserve.router:router"
--- a/openbb_platform/providers/federal_reserve/tests/record/http/test_federal_reserve_fetchers/test_federal_reserve_inflation_expectations_fetcher_urllib3_v2.yaml
+++ b/openbb_platform/providers/federal_reserve/tests/record/http/test_federal_reserve_fetchers/test_federal_reserve_inflation_expectations_fetcher_urllib3_v2.yaml
@@ -0,0 +1,272 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate, br
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://www.philadelphiafed.org/-/media/FRBP/Assets/Surveys-And-Data/survey-of-professional-forecasters/historical-data/Inflation.xlsx
+  response:
+    body:
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--- a/openbb_platform/providers/federal_reserve/tests/record/http/test_federal_reserve_fetchers/test_federal_reserve_svensson_fetcher_urllib3_v2.yaml
+++ b/openbb_platform/providers/federal_reserve/tests/record/http/test_federal_reserve_fetchers/test_federal_reserve_svensson_fetcher_urllib3_v2.yaml
--- a/openbb_platform/providers/federal_reserve/tests/record/http/test_federal_reserve_fetchers/test_federal_reserve_total_factor_productivity_fetcher_urllib3_v2.yaml
+++ b/openbb_platform/providers/federal_reserve/tests/record/http/test_federal_reserve_fetchers/test_federal_reserve_total_factor_productivity_fetcher_urllib3_v2.yaml
--- a/openbb_platform/providers/federal_reserve/tests/test_federal_reserve_fetchers.py
+++ b/openbb_platform/providers/federal_reserve/tests/test_federal_reserve_fetchers.py
@@ -13,6 +13,9 @@ from openbb_federal_reserve.models.federal_funds_rate import (
 from openbb_federal_reserve.models.fomc_documents import (
    FederalReserveFomcDocumentsFetcher,
 )
+from openbb_federal_reserve.models.inflation_expectations import (
+    FederalReserveInflationExpectationsFetcher,
+)
 from openbb_federal_reserve.models.money_measures import (
    FederalReserveMoneyMeasuresFetcher,
 )
@@ -26,6 +29,12 @@ from openbb_federal_reserve.models.primary_dealer_positioning import (
    FederalReservePrimaryDealerPositioningFetcher,
 )
 from openbb_federal_reserve.models.sofr import FederalReserveSOFRFetcher
+from openbb_federal_reserve.models.svensson_yield_curve import (
+    FederalReserveSvenssonFetcher,
+)
+from openbb_federal_reserve.models.total_factor_productivity import (
+    FederalReserveTfpFetcher,
+)
 from openbb_federal_reserve.models.treasury_rates import (
    FederalReserveTreasuryRatesFetcher,
 )
@@ -85,6 +94,16 @@ def test_federal_reserve_yield_curve_fetcher(credentials=test_credentials):
    assert result is None


+@pytest.mark.record_http
+def test_federal_reserve_svensson_fetcher(credentials=test_credentials):
+    """Test the Federal Reserve Svensson fetcher."""
+    params = {}
+
+    fetcher = FederalReserveSvenssonFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None
+
+
@pytest.mark.record_http
 def test_federal_reserve_central_bank_holdings_fetcher(credentials=test_credentials):
    """Test the Federal Reserve Central Bank Holdings Fetcher."""
@@ -155,3 +174,27 @@ def test_federal_reserve_fomc_documents_fetcher(
    fetcher = FederalReserveFomcDocumentsFetcher()
    result = fetcher.test(params, credentials)
    assert result is None
+
+
+@pytest.mark.record_http
+def test_federal_reserve_total_factor_productivity_fetcher(
+    credentials=test_credentials,
+):
+    """Test the Federal Reserve Total Factor Productivity Fetcher."""
+    params = {}
+
+    fetcher = FederalReserveTfpFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None
+
+
+@pytest.mark.record_http
+def test_federal_reserve_inflation_expectations_fetcher(
+    credentials=test_credentials,
+):
+    """Test the Federal Reserve Inflation Expectations Fetcher."""
+    params = {}
+
+    fetcher = FederalReserveInflationExpectationsFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None