Deep research: second search round with learned terms

Created by

Perceptron Data

Actor

Research Agent – Evidence-Graded Web Search for RAG

For hard questions: after the first search, the agent learns the specialist terms the best sources use (a regulation number, an official programme name) and searches again — then combines both rounds with official legal texts and news into one cited context.

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Research Agent – Evidence-Graded Web Search for RAGperceptr0n/research-agent

query

status

contextTokens

durationSeconds

+1 field

Input

Question:What are the vulnerability reporting obligations under the Cyber Resilience Act?

Sources:web+2

Second search round:true

Output fields

query

status

contextTokens

durationSeconds

context

How it works

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The Research Agent – Evidence-Graded Web Search for RAG Actor is ready to run with the inputs already set for "Deep research: second search round with learned terms". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Deep research: second search round with learned terms" task

The Research Agent – Evidence-Graded Web Search for RAG Actor will start running based on the input automatically. You can also change all the input fields, like question, sources, and more, to match your specific use case.

Receive the "Deep research: second search round with learned terms" 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 query, status, contexttokens, 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 "Deep research: second search round with learned terms" task via API.