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Filter Brand Signals by Confidence Thresholds
Created by
Tim Zinin
Apply explicit accept and review thresholds to buyer-supplied signal scores and return deterministic decisions with reasons.
Confidence Threshold Filter for Brand Signalszinin/us-brand-signal-confidence-gate
Schema
Report type
Input boundary
Thresholds
+13 fieldsTextNumberBooleanListObject
Input
Report contract version(required):1.0
Explicit buyer thresholds(required)
Accept at or above(required):80
Review at or above(required):50
Threshold ordering proof(required):accept_gt_review
Normalized signal rows(required)
Signal ID(required):signal-001+3
Normalized signal(required):96+3
Output fields
Schema
Report type
Input boundary
Thresholds
Rows
Accepted IDs
Review IDs
Rejected IDs
Decisions
Counts
Review decision
Input SHA-256
Rows SHA-256
Accepted IDs SHA-256
Review IDs SHA-256
Rejected IDs SHA-256
Result SHA-256
Sign up on Apify01
Create your Apify account to access the Confidence Threshold Filter for Brand Signals.
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.
