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scheduled monitoring | Anomaly Profiler
Created by
Rafael Barreto Haddad
scheduled monitoring preset for Dataset Cardinality & Anomaly Profiler. Replace the example values with the dataset or baseline used by your workflow.
Dataset Cardinality & Anomaly Profilerquanmatrix/dataset-cardinality-anomaly-profiler
Ok
Items Evaluated
Profile Fingerprint
Field Profiles
+11 fieldsTextNumberBooleanListObject
Input
Inline items
country:US+1
price:10+1
Maximum items:10000
Fields
Minimum cardinality ratio:0.5
Maximum null-rate increase:10
Fail run on anomaly:false
Output fields
Ok
Items Evaluated
Profile Fingerprint
Field Profiles
Anomalies
Anomaly Count
Issues
Executive decision
Decision confidence score
Baseline available
Regression detected
Estimated economic impact (USD)
Recommended action
Decision metric
Decision metric delta
Sign up on Apify01
Create your Apify account to access the Dataset Cardinality & Anomaly Profiler.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
