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-# API Query Guide
-
-
-This selection of guides and references covers the basics of querying data using the Arthur Query API Endpoints. 
-The complete reference for the full Arthur API documentation can be found 
-[here](https://docs.arthur.ai/api-documentation/v3-api-docs.html), 
-and the reference to the Query Endpoint can be found
-[here](https://docs.arthur.ai/api-documentation/v3-api-docs.html#tag/query).
-
-## {doc}`Query Quickstart <query_quickstart>`
-For beginners to the Arthur Query API, see the {doc}`query_quickstart`
-for a basic walkthrough on querying data about your model's performance.
-
-## References:
-
-### {doc}`Endpoint Overview <endpoint_overview>`
-The {doc}`endpoint_overview` covers the structure and parameters of queries 
-and provides more examples to get started.
-
-### {doc}`Model Evaluation Functions <model_evaluation_functions>`
-This reference shows the basic metrics needed to evaluate the performance of models (accuracy, confusion matrix, MSE, etc)
-
-### {doc}`Data Drift <data_drift>`
-This reference shows querying data drift over time, 
-which is needed to diagnose which changes in data could explain a change in model performance.
-
-### {doc}`Explainability </user-guide/api-query-guide/explainability>`
-This reference shows how to query explanations for inferences. Whether in terms of features in tabular models, 
-words in NLP models, or regions of pixels in CV models, explainability offers a rough approximation of 
-the _how_ and _why_ behind a model's inferences.
-
-### {doc}`Aggregation Functions <aggregation_functions>`
-This reference shows  how to apply aggregators like an _average_ (`avg`) or a _maximum_ (`max`) to a query.
-
-### {doc}`Transformation Functions <transformation_functions>`
-This reference shows the transformations available within an Arthur query (numerical operations, binning variables, 
-grouping by time resolution, etc)
-
-### {doc}`Composing Functions <composing_functions>`
-This reference shows composing functions to fit complex transformations into a single query
-
-### {doc}`Subqueries <subqueries>`
-This reference shows how to embed queries within queries.
-
-## {doc}`Grouped Inference Queries <grouped_inference_queries>`
-This guide shows how to query information pertaining to individual instances of data over time.
-
-```{toctree}
-:maxdepth: 2
-:hidden:
-
-Query Quickstart <query_quickstart>
-Endpoint Overview <endpoint_overview>
-Model Evaluation Functions <model_evaluation_functions>
-Data Drift <data_drift>
-Explainability <explainability>
-Aggregation <aggregation_functions>
-Transformations <transformation_functions>
-Composition <composing_functions>
-Subqueries <subqueries>
-Advanced Example: Unique Identifiers <grouped_inference_queries>
-
-```