Prioritize Verified US Brand Signals
Created by
Tim Zinin
Turn two synthetic verified brand signals into one evidence-backed deterministic action queue.
US Brand Action Queuezinin/us-brand-action-queue
Status
Actions
Queue
Explanation
+1 fieldTextNumberBooleanListObject
Input
Contract schema version(required):1.0
Scoring timestamp(required):2026-08-05T00:00:00Z
Request ID:action-queue-20260804-001
Inline verified fleet signals
entityId:nike.com+1
brandName:Nike+1
legalName:Nike, Inc.+1
domain:nike.com+1
ticker:NKE+1
cik
aliases
country:US+1
sourceEntityIds
eventType:product_launch+1
eventId:fixture-launch-001+1
observedAt:2026-08-04T10:00:00Z+1
effectiveAt:2026-08-04T10:00:00Z+1
sourceName:prefill_fixture+1
sourceUrl:https://www.nike.com/+1
sourceRecordId:fixture-launch-001+1
evidence
confidence:0.96+1
severity:high+1
state:active+1
dedupeKey:prefill_fixture|nike.com|product_launch|fixture-launch-001+1
attribution
owner
analysisStatus:not_requested+1
demoFixture:true+1
Queue options
Mode:demo
Maximum source items:10
Maximum actions:10
Include resolved:true
Explanation mode:off
Output fields
Status
Actions
Queue
Explanation
Data class
Sign up on Apify01
Create your Apify account to access the US Brand Action Queue.
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.
