Pricing

$20.00 / 1,000 research brief completeds

Try for free

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Web Research Brief with Cited Sources

Try for free

Ask a question and get a short written answer built from public web pages, with numbered citations and the source list so you can check every line.

Pricing

$20.00 / 1,000 research brief completeds

Rating

0.0

(0)

Developer

jay casey

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Quick start

Press Start. The sample answers a question about why restaurants close, using 3 sources. Pick Standard or Deep for 6 or 10 sources.

What you get

A brief answer in Markdown with numbered citations
Each source: title, link, publish date when known, and a read status
The brief separates evidence, inference and open questions, and says where sources disagree

Good for

A first pass on an unfamiliar topic before a meeting
Background for a blog post, with sources attached
Running the same question every week to see what changed

Pricing

$0.02 per brief

You pay only for results that come back. Set a max cost per run in the run options and the run stops cleanly when it hits it. Normal Apify platform usage applies.

Input

Field	What it does
`question`	What you want answered, in one or two sentences.
`context`	Who it is for, the decision it supports, anything to rule out.
`depth`	Quick reads up to 3 pages, standard up to 6, deep up to 10.
`sourceUrls`	Links you want included. We also search the web for more. The sample link is there so the first run always has something to read.
`search`	Find more public pages on DuckDuckGo.
`llm`	Leave blank. Only for teams who want the writing step billed to their own OpenAI-compatible key: baseUrl, model, apiKey.

Limits

Reads public pages only; paywalled articles are skipped.
Web search uses DuckDuckGo. Add your own links if you need specific sources.

Run it from code

Same input as the Console sample:

{
  "question": "What are the most common reasons small restaurants close in their first year?",
  "depth": "quick",
  "sourceUrls": [
    "https://en.wikipedia.org/wiki/Restaurant"
  ]
}

curl -X POST "https://api.apify.com/v2/acts/physealabs~research-brief/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" -d @input.json

from apify_client import ApifyClient
items = ApifyClient("YOUR_APIFY_TOKEN").actor("physealabs/research-brief").call(run_input={"question": "What are the most common reasons small restaurants close in their first year?", "depth": "quick", "sourceUrls": ["https://en.wikipedia.org/wiki/Restaurant"]})

It also works from Zapier, Make, n8n and Apify schedules.

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