Filter Brand Signals by Confidence Thresholds

Created by

Tim Zinin

Actor

Confidence Threshold Filter for Brand Signals

Apply explicit accept and review thresholds to buyer-supplied signal scores and return deterministic decisions with reasons.

Try for free

Confidence Threshold Filter for Brand Signalszinin/us-brand-signal-confidence-gate

Schema

Report type

Input boundary

Thresholds

+13 fields

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

How it works

Sign up on Apify or log in

The Confidence Threshold Filter for Brand Signals Actor is ready to run with the inputs already set for "Filter Brand Signals by Confidence Thresholds". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Filter Brand Signals by Confidence Thresholds" task

The Confidence Threshold Filter for Brand Signals Actor will start running based on the input automatically. You can also change all the input fields, like report contract version, explicit buyer thresholds, and more, to match your specific use case.

Receive the "Filter Brand Signals by Confidence Thresholds" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as schema, report type, input boundary, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Filter Brand Signals by Confidence Thresholds" task via API.