Pricing

$100.00 / 1,000 question decomposeds

Try for free

Go to Apify Store

Break a Big Question into Smaller Ones

Try for free

Paste a big or vague question. Get the smaller questions you need answered first, ranked, plus the facts you're missing and a short form to send to whoever has them.

Pricing

$100.00 / 1,000 question decomposeds

Rating

0.0

(0)

Developer

jay casey

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Quick start

Press Start to break down the sample build-or-buy question. Add one question per line to run a batch.

What you get

Ranked sub-questions with why each matters
Blocking facts: the specific numbers or decisions you need before anyone can answer
A ready-to-send clarifying form with suggested options
A Markdown summary of the whole batch

Good for

Scoping a project before a kickoff
Turning a fuzzy client request into a questions list
Research planning

Pricing

$0.01 per question

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
`questions`	One question per line. Each comes back as ranked sub-questions, the facts you're missing and a short form you can send to whoever has the answers.
`context`	Facts, audience or the outcome you want. Applies to every question above.
`items`	For API users: a list of {question, context} objects, one row each.

Limits

It breaks the question down; it does not answer it. Pair it with the research brief for that.

Run it from code

Same input as the Console sample:

{
  "questions": [
    "Should our 12-person SaaS company build or buy customer support automation?"
  ],
  "context": "We need a recommendation for next quarter. Budget and timeline are not fixed yet."
}

curl -X POST "https://api.apify.com/v2/acts/physealabs~question-decomposer/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/question-decomposer").call(run_input={"questions": ["Should our 12-person SaaS company build or buy customer support automation?"], "context": "We need a recommendation for next quarter. Budget and timeline are not fixed yet."})

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

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