API Query Guide¶ Endpoint Overview Overview Property Types ‘From’ Sources Filter Comparators Object Detection Fields Inference Search Examples Example 1: Inference ID Example 2: Partner Inference ID Example 3: Timestamp Filters Example 4: Batch ID Filter Example 5: Aliasing and Order By Aggregation Functions Average Average of Absolute Values Max Min Sum Variance Count Count If Categories Count Rate Distribution Arg Max Arg Min Any If Regional Feature Importance Regional Feature Importances Model Evaluation Functions Regression RMSE MAE R Squared Binary Classification Confusion Matrix Confusion Matrix Rate Confusion Matrix Variants AUC Multiclass Classification Multiclass Accuracy Rate Multiclass Confusion Matrix Multiclass Confusion Matrix Rate Multiclass F1 Object Detection Mean Average Precision Bias Bias Mitigation Transformation Functions Round Timestamp Label By Max Column Bin Continuous Bins To Quantiles Date Diff Neighbor Arithmetic Absolute Value Logical Functions Explainability Tabular Explainability NLP Explainability Data Drift Data Drift Example: Reference vs. Inference Example: Inference vs. Inference Example: Reference vs. Ground Truth Data Drift PSI Bucket Table Values Data Drift for Classification Outputs Automated Data Drift Thresholds Composing Functions Alias References Nested Functions Subqueries Concise queries with subqueries Subqueries for grouping Grouped Inference Queries Example Queries Per-Customer Variance Change Across Batches Change Across First to Last Inference Per Customer Change in Categorical Variables