diff --git a/src/gisaf/api.py b/src/gisaf/api.py
index 86bccc8..c3c0e87 100644
--- a/src/gisaf/api.py
+++ b/src/gisaf/api.py
@@ -13,6 +13,7 @@ from gisaf.models.authentication import (
   Role, RoleRead,
 )
 from gisaf.models.category import Category, CategoryRead
+from gisaf.models.to_migrate import DataProvider
 from gisaf.config import conf
 from gisaf.models.bootstrap import BootstrapData
 from gisaf.models.store import Store
@@ -58,13 +59,16 @@ async def login_for_access_token(
     return Token(access_token=access_token, token_type='bearer')
 
 @api.get("/list")
-async def list_data_providers():
+async def list_data_providers() -> list[DataProvider]:
     """
     Return a list of data providers, for use with the api (graphs, etc)
     :return:
     """
-    return [{'name': m.__name__, 'store': m.get_store_name()}
-            for m in registry.values_for_model]
+    return [
+        DataProvider(
+            name=model.get_store_name(),
+            values=[value.get_store_name() for value in values]
+        ) for model, values in registry.values_for_model.items()]
 
 
 @api.get("/users")
diff --git a/src/gisaf/models/to_migrate.py b/src/gisaf/models/to_migrate.py
index 13c34ac..aa92c5b 100644
--- a/src/gisaf/models/to_migrate.py
+++ b/src/gisaf/models/to_migrate.py
@@ -16,3 +16,7 @@ class ModelAction(BaseModel):
     name: str
     icon: str
     formFields: list[FormField]
+
+class DataProvider(BaseModel):
+    name: str
+    values: list[str]
\ No newline at end of file
diff --git a/src/gisaf/plugins.py b/src/gisaf/plugins.py
index 00660a3..464ce11 100644
--- a/src/gisaf/plugins.py
+++ b/src/gisaf/plugins.py
@@ -120,9 +120,12 @@ class DownloadPlugin:
 class DownloadCSVPlugin(DownloadPlugin):
     async def execute(self, model, item, request):
         from gisaf.registry import registry
-        values_model = registry.values_for_model.get(model)
-        df = await values_model.get_as_dataframe(model_id=item.id)
-        csv = df.to_csv(date_format='%d/%m/%Y %H:%M', float_format=values_model.float_format)
+        values_models = registry.values_for_model.get(model)
+        for value_model in values_models:
+            df = await values_models.get_as_dataframe(model_id=item.id)
+            csv = df.to_csv(date_format='%d/%m/%Y %H:%M', float_format=value_model.float_format)
+            ## TODO: implement multiple values for a model (search for values_for_model)
+            break
         return {
             'file_name': '{:s}.csv'.format(item.caption),
             'content_type': 'text/csv',
diff --git a/src/gisaf/registry.py b/src/gisaf/registry.py
index fca7bbd..97c5411 100644
--- a/src/gisaf/registry.py
+++ b/src/gisaf/registry.py
@@ -6,13 +6,13 @@ import importlib
 import pkgutil
 from collections import defaultdict
 from importlib.metadata import entry_points
-from typing import Any, ClassVar
+from typing import Any, ClassVar, Literal
 
 from pydantic import create_model
 from pydantic_core import PydanticUndefined
 from sqlalchemy import text
 from sqlalchemy.orm import selectinload
-from sqlmodel import SQLModel, select
+from sqlmodel import SQLModel, select, inspect
 import pandas as pd
 
 from gisaf.config import conf
@@ -83,6 +83,8 @@ class ModelRegistry:
     misc: dict[str, SQLModel]
     raw_survey_models: dict[str, RawSurveyBaseModel]
     survey_models: dict[str, SurveyModel]
+    ## TODO: implement multiple values for a model (search for values_for_model)
+    values_for_model: dict[GeoModel, list[PlottableModel]]
 
     def __init__(self) -> None:
         """
@@ -261,17 +263,13 @@ class ModelRegistry:
         '''
         Build a dict for quick access to the values from a model
         '''
-        logger.warning(ToMigrate('populate_values_for_model'))
-        return
         self.values_for_model = {}
         for model_value in self.values.values():
-            for field in model_value.model_fields.values():
-                foreign_key = getattr(field, 'foreign_key', False)
-                if foreign_key and foreign_key is not PydanticUndefined:
-                    breakpoint()
-                    model = ...
-                    self.values_for_model[model] = model_value
-
+            for relationship in inspect(model_value).relationships:
+                model = self.stores.loc[relationship.target.fullname, 'model']
+                if model not in self.values_for_model:
+                    self.values_for_model[model] = []
+                self.values_for_model[model].append(model_value)
 
     def scan_entry_points(self, name):
         """
@@ -286,15 +284,15 @@ class ModelRegistry:
                 logger.warning(err)
         return named_objects
 
-    def add_model(self, model) -> str:
+    def add_model(self, model) -> Literal['GeoModel', 'PlottableModel', 'Other model']:
         """
-        Add the model
-        :return: Model type (one of {'GeoModel', 'PlottableModel', 'Other model'})
+        Add the model to its proper dict for reference, return the type
         """
         # if not hasattr(model, 'get_store_name'):
         #     raise NotInRegistry()
         table_name = model.get_store_name()
-        if issubclass(model, GeoModel) and not issubclass(model, RawSurveyBaseModel) and not model.hidden:
+        if issubclass(model, GeoModel) and not \
+            issubclass(model, RawSurveyBaseModel) and not model.hidden:
             self.geom_custom[table_name] = model
             return 'GeoModel'
         elif issubclass(model, PlottableModel):
@@ -358,19 +356,6 @@ class ModelRegistry:
             resp['externalRecordUrl'] = item.get_external_record_url()
         return resp
 
-    def get_other_model_from_table_name(self, table_name):
-        """
-        Utility func to get a non-geom model from a table name
-        :param table_name: str
-        :return: model or None
-        """
-        for model in registry.other.values():
-            if model.__tablename__ == table_name:
-                return model
-        for model in registry.values.values():
-            if model.__tablename__ == table_name:
-                return model
-
     async def make_stores(self):
         """
         Make registry for primary groups, categories and survey stores using Pandas dataframes.