MARKET RESEARCH

Ask a research question, get a sourced Coda answer brief

Triggered by a posted research question, runs targeted Brave searches, cross-checks claims across multiple fresh sources, and drafts a concise.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerResearch question submitted via webhookHTTP webhook
  • ActionOpenAI decomposes question into search queriesOpenAI
  • ActionBrave Search runs queries, gathers sourcesBraveBrave Search
  • LogicCross-check claims for multi-source support; flag conflicts
  • ActionOpenAI drafts cited answer briefOpenAI
  • OutputPublish answer brief to CodaCodaCoda

What it does

Answers a specific market-research question on demand with citations. Given a question (e.g. "What's the current pricing landscape for AI note-takers?"), it decomposes it into focused Brave queries, gathers fresh sources, verifies each key claim appears in more than one independent source, and drafts a tight answer brief in Coda, explicitly flagging where sources disagree.

When to use it

A stakeholder asks a pointed question and you want a defensible, sourced answer rather than an unverified summary. Useful for analysts and ops teams fielding ad-hoc research requests.

How it works

  1. 1A submitted question (via webhook) triggers the run.
  2. 2OpenAI decomposes the question into focused search queries.
  3. 3Brave Search runs each query and collects fresh sources.
  4. 4A logic step cross-checks each key claim for multi-source support and marks conflicts.
  5. 5OpenAI drafts a concise answer brief with inline citations and a conflicts note.
  6. 6The brief is written to Coda and the page link returned.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Brave SearchWeb, news, image, video search.
  4. 4
    Connect CodaDocs, packs, automations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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