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Compare Brand Signal Threshold Policies
Created by
Tim Zinin
Compare supplied signal scores under multiple threshold policies and return deterministic outcomes, differences, and sensitivity.
Signal Threshold Policy Scenario Simulatorzinin/us-brand-signal-policy-simulator
Schema
Report type
Input boundary
Rows
+13 fieldsTextNumberBooleanListObject
Input
Contract schema version(required):1.0
Buyer-supplied signal scores(required)
Opaque signal ID(required):signal-001+3
Normalized score(required):96+3
Policies to compare(required)
Policy ID(required):balanced+2
Review at or above(required):50+2
Accept at or above(required):80+2
Ordering declaration(required):review_lt_accept+2
Output fields
Schema
Report type
Input boundary
Rows
Policies
Policy results
Comparisons
Sensitivity
Counts
Evidence and review action
Input SHA-256
Rows SHA-256
Policies SHA-256
Policy results SHA-256
Comparisons SHA-256
Sensitivity SHA-256
Result SHA-256
Sign up on Apify01
Create your Apify account to access the Signal Threshold Policy Scenario Simulator.
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.
