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Split Competitive Signals for Processing
Created by
Tim Zinin
Split normalized signal rows into stable bounded groups with complete coverage, exact IDs, counts, and deterministic digests.
Competitive Intelligence Dataset Splitterzinin/us-brand-signal-batch-splitter
Schema
Report type
Input boundary
Grouping mode
+6 fieldsTextNumberBooleanListObject
Input
Report contract version(required):1.0
Grouping mode(required):brand
Normalized signal rows(required)
Signal ID(required):sig-nike-price-002+3
Brand name(required):Nike+3
Event type(required):price_change+3
Severity(required):medium+3
Analysis status(required):reviewed+3
Output fields
Schema
Report type
Input boundary
Grouping mode
Rows
Groups
Stable groups
Review decision
Input SHA-256
Result SHA-256
Sign up on Apify01
Create your Apify account to access the Competitive Intelligence Dataset Splitter.
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.
